CN101086804A - A method and system for traffic information management - Google Patents

A method and system for traffic information management Download PDF

Info

Publication number
CN101086804A
CN101086804A CNA2006100273108A CN200610027310A CN101086804A CN 101086804 A CN101086804 A CN 101086804A CN A2006100273108 A CNA2006100273108 A CN A2006100273108A CN 200610027310 A CN200610027310 A CN 200610027310A CN 101086804 A CN101086804 A CN 101086804A
Authority
CN
China
Prior art keywords
confidence
unit section
degree
traffic flow
road unit
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CNA2006100273108A
Other languages
Chinese (zh)
Inventor
杜存君
胡乐乐
吴素芳
杨学君
张建林
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Individual
Original Assignee
Individual
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Priority to CNA2006100273108A priority Critical patent/CN101086804A/en
Publication of CN101086804A publication Critical patent/CN101086804A/en
Pending legal-status Critical Current

Links

Images

Landscapes

  • Traffic Control Systems (AREA)

Abstract

The invention relates to a method and system generating traffic information and providing relevant services. Based on all kinds of radio terminal, especially radio terminal with positioning ability, it gets the location information of the customer terminal, based on the terminal running speed to further estimate the average speed and traffic flow on the road. Based on these estimation and collected information, executing personalized traffic information inquiry service with quantized result to select the road service, traffic flow management service together with traffic lights control and road status denoting system update.

Description

A kind of method and system of traffic information management
Technical field
The method and system of the business that the present invention relates to provide relevant with transport information, relate in particular to utilize and have the wireless terminal of station-keeping ability and collection and the processing that communication network carries out transport information, and the method and system of inquiry, routing and the traffic flow management relevant with transport information is provided.
Background technology
Live in people in the city often for traffic congestion perplexs, even everybody is accustomed to for this phenomenon or puzzlement; Because be difficult to understand real-time traffic conditions, often to reserve the plenty of time in case traffic congestion for a heavy date.
Live in people's majority in the city and all can know about the demand of real-time traffic situation and predicted state, and if technical can conveniently the realization then can excite everybody this demand more.
For satisfying people's this demand, provide the system of transport information to be mainly the Traffic Announcement radio station in each city at present, usually by being built up in second studio of handing over patrol police army unit, host and Surveillance center's information synchronization, the very first time is reported the traffic emergency situations, dredges peak traffic flow; Periodically report road conditions in addition, as the integral point or the least bit.
The transport information obtain manner of traffic platform is generally: the mode by prize drawing encourages the taxi driver that the road congestion information is provided; Full-time traffic observer; The monitoring shooting in main highway section is first-class.And the published method of transport information is the real-time or periodic broadcasting of Traffic Announcement frequency in each city.
Though each metropolitan traffic platform is all very flourishing, it limits to also clearly:
A) mode of obtaining is at present main to be relied on people's subjective judgement and report or based on the judgement of monitoring video, not to have objective and technological means robotization; Different people is for congested understanding difference, and the description of language is also different, does not quantize, and does not have unified standard.
B) broadcasting the information that provides is towards proprietary, and the customized information towards the individual can't be provided; The user need listen to a large amount of garbages just can filter out the real information that needs at present, only needs the information of the relevant road in Xuhui District as present user, and the bulk information on ground such as Pudong New District or Yangpu District just there is no need to listen; The information of the real Xuhui District that needs of user may be detailed inadequately again in broadcasting on the other hand.Especially can't be according to the present position Intelligence Selection of user and the transport information of filter user needs.Even if this customized information can be provided, its capacity is also extremely limited, can't satisfy the individual demand of a large number of users simultaneously.
C) information of traffic platform is current, and historical record, future anticipation etc. can't be provided.
D) information capacity that provides of traffic platform is very limited, if a lot of local in various degree congested of taking place, it can't be known accurately provides all sidedly, especially can't provide quantitative precise information.
E) be the traffic platform of unit with the city, the transport information between the city does not have or is difficult to integrate.
F) construction investment of traffic platform and monitor network is huge, and a large amount of small and medium-sized cities are difficult to carry out.
On the other hand for satisfying the demand that people inquire about traffic route and routing, what transport services such as routing, navigation were provided at present is mainly the GPS navigation product, comprise the PDA of car borne GPS navigation instrument and built-in gps receiver etc., these products based on traditional GPS technology have very long developing history, also occupied the principal market of present traffic-information service such as tradition navigation, but the following defective of itself has restricted also that it is further fast-developing, and expands to and provide more extensive and comprehensive transportation information service systems:
A) the GPS navigation instrument is determined the position based on receiving gps signal, and judges in conjunction with local map, can't carry out more intelligent and has more the routing and the navigation of value based on real-time information such as traffic congestion.
B) also may bring inconvenience and lose with old data before local map upgrades in the some cycles, as link change etc. to the user.
C) GPS navigation instrument application is limited to auto navigation substantially, and of a high price, thereby recoverable amount, and is especially limited in the recoverable amount of China, if provide transport information with these navigating instruments as basic sample, then sample size very little.
All the other functions of vehicle GPS, PDA are limited, cause its final volume of holding can't be comparable with wireless communication terminal.
D) various GPS navigation instrument not a unified uplink traffic information report and the Internet, integrate difficulty; No matter be car borne GPS navigation or GPS PDA, all be based on traditional GPS and receive, the problem that the signal that general product all is difficult to avoid traditional GPS to face covers, the place that receives many gps satellite difficulties in the tunnel etc. is difficult to continue to use again.
E) because equipment such as vehicle GPS, PDA depend on map and the renewal thereof in the navigation software, and the map of different software is all inconsistent to the support in city, and update mode is also inconsistent; Because memory capacity is limited, also unlikely store all maps simultaneously; If the user grows the route of distance or the area that can not support to map continuously, effectively whether use can be a problem.
Along with development of wireless communication devices, especially the network struction of position-based business and business development, and the raising of wireless terminal side bearing accuracy and speed, make the collection of transport information can obtain the positional information of wireless terminal, estimate the average speed and the magnitude of traffic flow on its movement velocity and the further estimation road by location technology.
And the flourish extensive covering and the permeability of bringing of radio communication makes this sample will surmount traditional monitor network or professional collecting device greatly.
Individual consumer's terminal based on magnanimity, make up transport information collection network widely, focus on, the accurate transport information that can obtain to quantize, and can provide the traffic-information service such as real-time inquiry, routing, prediction of personalized quantification, and on the overall situation, carry out traffic flow management for each user; The traffic information management system of such integration will greatly promote the development of whole transport information related service.
Summary of the invention
The present invention is directed to the shortcoming of the method and system that transport information and related service are provided at present, utilize wireless terminal, especially location technology proposes a kind of transport information generation, routing, traffic flow management and the method and system of the whole business relevant with transport information is provided.
Traffic information management system LTMS of the present invention provides the business relevant with transport information by following main process:
A) user management comprises that the user registers and user log off;
B) service management comprises that professional application and business are spread to disappear;
C) transport information generates, and obtains the magnitude of traffic flow of real-time road unit section average speed and road unit section;
D), carry out business such as traffic information inquiry, routing or traffic flow management according to the business application.
Wherein road unit section is meant the road segment segment between the adjacent intersection that is divided into by the road intersection; Road unit section average speed is the abbreviation that road unit section goes up the average velocity of vehicle; LTMS promptly refers to traffic information management system of the present invention.
Transport information generation wherein, routing, traffic flow management are emphasis processes of the present invention, introduce their concrete grammars separately below respectively:
The positional information that the method that transport information generates comprises the steps: to collect user terminal (UE); The movement velocity of estimation user terminal (UE) comprises speed and direction; The corresponding relation of estimation road unit section and user terminal (UE); Estimate real-time the road unit section average speed and the magnitude of traffic flow.
Wherein UE promptly refers to user terminal.
The method of routing comprises the steps: to obtain real-time the road unit section average speed and the magnitude of traffic flow; Based on the real-time road unit section average speed and the magnitude of traffic flow, predict following B the time point road unit section average speed and the magnitude of traffic flow, B is more than or equal to 1; Reception is from the routing request of user terminal; According to restrictive condition, just select C bar path candidate, C is more than or equal to 1; According to constraint condition, calculate the output routing result respectively at C bar path candidate.
The method of traffic flow management comprises the steps: to obtain real-time the road unit section average speed and the magnitude of traffic flow; Based on the real-time road unit section average speed and the magnitude of traffic flow, predict the average speed and the magnitude of traffic flow of following F time point road unit section, F is more than or equal to 1; Receive the request of traffic flow management; According to the average speed of road unit section and the instantaneous value and the predicted value of the magnitude of traffic flow, carry out traffic flow management and control.
The generation transport information that the present invention proposes also provides professional traffic information management system LTMS such as above-mentioned traffic information inquiry, routing and traffic flow management, constitute by at least one computing machine or server, comprise a user management and information collection unit, be used to carry out user management, comprise that the user registers with the user to cancel; Service management and performance element are used for: a) carry out service management, comprise that professional application and business cancel; B) transport information generates, and obtains real-time the road unit section average speed and the magnitude of traffic flow; C), carry out traffic information inquiry or business such as routing or traffic flow management according to the business application.
When carrying out the transport information generation, user management and information collection unit are used to collect position information of user's terminal; Service management and performance element are used to estimate the movement velocity of user terminal, the corresponding relation of estimation road unit section and user terminal, and estimate real-time the road unit section average speed and the magnitude of traffic flow, described movement velocity comprises movement rate and direction.
When carrying out routing, user management and information collection unit are used to receive the routing request from user terminal; Service management and performance element are used to obtain real-time the road unit section average speed and the magnitude of traffic flow, predict the average speed and the magnitude of traffic flow of road unit section on following a plurality of time point, routing request and restrictive condition according to user terminal are just selected many path candidates, calculate respectively and the output routing result according to constraint condition and at many path candidates.
When carrying out traffic flow management, user management and information collection unit are used to receive the request of traffic flow management; Service management and performance element are used to obtain real-time the road unit section average speed and the magnitude of traffic flow, predict the average speed and the magnitude of traffic flow of road unit section on following a plurality of time point, carry out traffic flow management and control according to the average speed of road unit section and the instantaneous value and the predicted value of the magnitude of traffic flow.
Method and system of the present invention based on wireless terminal, can avoid conventional traffic information gathering for special-purpose collecting device or collection network or artificial dependence of reporting in the collection of transport information; Compare the traffic information data that legacy system provides quantification based on the statistical treatment of great amount of samples; Can satisfy user's individual demand fully towards the inquiry business of individuality; The routing business is based on the quantitative magnitude of traffic flow and relevant information, and the selection foundation of quantitative science is provided; Quantitative transport information based on the overall situation provides comprehensive traffic flow management, comprises integration user terminal, road condition monitoring system, road conditions indication mechanism, reaches the traffic light control system lamp; Go for different cities and trans-regional business is provided and integrate consistent method and system, be not subjected to the restriction of region and building network; Can effectively avoid inconsistent and renewal promptness problem based on map of concentrating and database based on the map of the local map of terminal; Can effectively solve the problems such as signal covering of traditional GPS navigation equipment based on the wireless terminal of up-to-date location technologies such as up-to-date A-GPS
Below in conjunction with the drawings and specific embodiments, characteristics of the present invention and advantage are described more specifically and clearly.
Description of drawings
Fig. 1 is the connection diagram of LTMS system of the present invention and outside PLMN network, road condition monitoring system, road conditions indication mechanism and traffic light control system etc.;
Fig. 2 is that the formant of LTMS system constitutes;
Fig. 3 is a kind of implementation that the further modular unit of LTMS system decomposes;
Fig. 4 is user's register flow path of LTMS system;
Fig. 5 is the user log off flow process of LTMS system;
Fig. 6 is the professional application process of LTMS system;
Fig. 7 is that the business of LTMS system is cancelled flow process;
Fig. 8 is step and the acquisition approach that LTMS system transport information generates;
Fig. 9 is that the system of LTMS system initiates the flow process of place information inquiry;
Figure 10 is that the UE of LTMS system initiates the updating location information flow process;
Figure 11 is the flow process that the traffic information inquiry business is provided of LTMS system;
Figure 12 is the flow process that the routing business is provided of LTMS system;
Figure 13 is the flow process that the traffic flow management business is provided of LTMS system;
Embodiment
Describe the specific embodiment of the present invention in detail below in conjunction with accompanying drawing:
As shown in Figure 1, LTMS of the present invention system obtains the positional information of the user terminal UE on the vehicle by the PLMN network, according to change in location estimating motion speed, movement velocity and the average speed of finishing follow-up road unit section and the estimation of the magnitude of traffic flow etc. so as to judging corresponding vehicle comprise by the PLMN network sending road conditions information warning, the relevant traffic lights of control etc. to carry out traffic flow management to UE; The interface of the GMLC of LTMS and PLMN and GIS middleware is mainly used in according to mobile network's standard flow process and finishes the user terminal position fixing process and obtain positioning result; The interface of gateways such as the SMGW of LTMS and PLMN and WAPGW is mainly used in the processes such as registration of finishing the user, and it is mutual to finish user's business application and result; The interface of LTMS and road condition monitoring system is used for obtaining real-time road from road condition monitoring system, to strengthen the estimation that LTMS goes up the average speed and the magnitude of traffic flow to road unit section; The interface of LTMS and road conditions indication mechanism is used for carrying out traffic flow management by information warnings such as the traffic information that upgrades the road conditions indication mechanism are especially congested; LTMS is used for carrying out traffic flow management by controlling relevant traffic lights such as congested highway section with the interface of traffic light control system;
Network structure among Fig. 1 is an example with GSM or WCDMA system, and the PLMN network portion of following each figure and flow process also is to be example with GSM or WCDMA system in the present embodiment; But LTMS of the present invention system also can support the mobile network that CDMA, CDMA2000, TD-SCDMA, PHS, WLAN, WiMAX and LTE, AIE, B3G or 4G etc. are new or the network of wireless access simultaneously; Correspondingly, the LTMS system supports corresponding single mode of above-mentioned wireless technology or multimode terminal, perhaps has by the GPS in-vehicle navigation apparatus of above terminal module as communication module.For supporting above different communication network and terminals, do not influence the ultimate principle and the method for operation of LTMS of the present invention system itself.
As shown in Figure 2, the LTMS system comprises user management and information collection unit, service management and performance element, external main interface is all by user management and information collection unit, comprise interface with the PLMN network, with the interface of road condition monitoring system, with the interface of road conditions indication mechanism and with interface of traffic light control system etc.
As shown in Figure 3, the further modular unit for a kind of implementation of LTMS system decomposes:
User management and information collection unit comprise protocol gateway unit LPG, service management unit LCM, web page server unit LWS, and user data library unit LDBU; Service management and performance element comprise Service Management Unit LSM, service enabler unit LSE, road data library unit LDBR, and traffic flow data library unit LDBT.
Protocol gateway unit LPG, be used to finish interface with wireless networks such as PLMN networks, finish interface and route between each unit in the system or the LPG, finish interface with the road conditions surveillance, finish and traffic light control system between interface, finish the interface with the road conditions indication mechanism, and finish other interface with Internet etc., to obtain the various relevant informations that LTMS systems such as real-time weather conditions need.
Service management unit LCM, be used to manage local and long-range LCM client terminal, be used for administration web page server unit LWS, be used to handle user's registration, de-registration request that LCM client terminal or user terminal are come, be used to assist manage business application, business of Service Management Unit to cancel, and towards the personalized enquire of unique user; The Local or Remote client terminal of LCM management is used to import user profile or professional application or inquiry is provided, and perhaps directly imports the Traffic Information of other approach acquisition etc., perhaps directly imports relevant information and the incidents of traffic such as Weather information.
Web page server unit LWS, be used to provide WAP and WEB door, use interface as the user provides professional operation instruction and promotion message to the user, and interfaces such as user's registration, service subscription, service inquiry, bill inquiry, personal information inquiry and maintenance; Accept the management of LCM.
User data library unit LDBU, storage user's registration and attribute data and positional information comprise the confidence information of UE confidence information and UE position etc.
Service Management Unit LSM, be used to manage business application and business are cancelled, and analyze and generation miscellaneous service trigger condition, dispose and call service enabler unit LSE and carry out business procedure etc.
Service enabler unit LSE is used for carrying out the main business process according to the calling and disposing of Service Management Unit LSM, and generates the result and returns LSM or be updated to the corresponding database unit; Business procedure comprises that positional information collects the calculating of triggering, speed and velocity estimation, real-time traffic estimation, speed and volume forecasting, routing, traffic flow management and each degree of confidence and be provided with etc.
Road data library unit LDBR, be used to store information such as road attribute, comprise that road unit section, numbering, absolute coordinates position, membership, cross reference, shape, road attribute, road surface types, speed limit, restriction turn to, add station location, charge station position, pay imformation, the traffic lights information etc. of taking out.
Traffic flow data library unit LDBT is used to store the average speed, the magnitude of traffic flow of corresponding relation, the road unit section of the road unit section of generation and UE etc., and confidence information etc. accordingly separately.
The LTMS system generates transport information and provides the main process of related service to comprise: user management comprises that the user registers and user log off; Service management comprises that business is applied for and business is cancelled; Transport information generates, and obtains real-time the road unit section average speed and the magnitude of traffic flow; The professional execution comprises business such as traffic information inquiry, routing or traffic flow management.
Specifically, the LTMS system comes to provide professional to the user by following steps usually: (1) user management and information collection unit receive registration request from user, finish registration process, comprise attribute informations such as registration UE location technology; (2) service management and performance element receive user's business application, and registration corresponding business data comprise the professional default setting of user's appointment etc.; (3) according to user's business application, service management and performance element are carried out the corresponding business process.
Correspondingly, user management and information collection unit also can receive user's de-registration request, finish user's cancellation; Or the business that receives the user cancels request, cancels the business that appointment is provided for this user.
And the LTMS system carries out top transport information generation or each business procedure, further utilizes following data or its combination: the average speed of road unit section and the historical data of the magnitude of traffic flow; Average speed and the magnitude of traffic flow and the historical data thereof of the first section of relevant road; Weather condition; Week and holiday etc.; Major event; Control traffic message; The combination of above data.
Next Fig. 4 and Fig. 5 have specifically described user's register flow path and user log off flow process; Fig. 6 and Fig. 7 have specifically described professional application and business is cancelled flow process:
As shown in Figure 4, the user's register flow path for the LTMS system may further comprise the steps:
(1) user sends initial registration request through user terminal by note, as sending LTMS to service number, is sent to the LTMS system via PLMN network and Short Message Service Gateway wherein;
(2) LPG of LTMS system receives user's initial registration request note, and the termination short message protocol is packaged into LII interface message form, gives LCM with this user's initial registration request forwards;
Wherein the LII interface is to carry out inner mutual interface between each unit of LTMS internal system;
(3) LCM retrieve user data storehouse LDBU, judge whether this user is registered:
If existing in the customer data base, then this user is a registered users, continues for (4) step, and notifying the user has been the registered user;
If do not have in the customer data base, then this user is new user, jumps to for (6) step, continues new user's official registration flow process;
(4) LCM sends message " being the registered user " to the user, need not to register again; This message is sent to LPG by the LII interface earlier;
(5) LPG converts the LII interface message to SMS, and the Short Message Service Gateway by the PLMN network sends to user terminal with " being the registered user " message;
(6) after (3) step LCM judges that this user is for new user, begin new user's official registration flow process, send " official registration application format " message, comprise the brief description of business and tariff clause etc. to terminal; The official registration application format comprises to be carried out the required various attributes of whole service and is provided with etc., comprises the location technology that UE supports; This message is sent to LPG by the LII interface earlier;
(7) LPG converts the LII interface message to SMS, and the Short Message Service Gateway by the PLMN network sends to user terminal with the official registration application format;
(8) user submits the official registration solicitation message according to the form of LTMS system requirements to by SMS, is sent to the LPG of LTMS system via PLMN network and Short Message Service Gateway wherein;
(9) LPG receives user's official registration application note, and the termination short message protocol is packaged into LII interface message form, is transmitted to LCM;
(10) after LCM receives user's official registration solicitation message, judge whether filling in of log-on data be complete:
If log-on data is complete, then skip (11) (12), directly entered for (13) step;
Continued for (11) step if log-on data is incomplete;
After (11) (10) steps judged that log-on data was incomplete, LCM sent registration failure message to the user, comprises the reason of prompting failure, and it is imperfect or do not meet call format etc. to indicate which data; This message is sent to LPG by the LII interface earlier;
(12) LPG converts the LII interface message to SMS, and the Short Message Service Gateway by the PLMN network sends to user terminal with registration failure message;
User terminal is received the prompting of registration failure, can resubmit application for registration, repeats the flow process of (8)-(12), judges that until (10) step log-on data is complete;
(13) after the complete judgement of log-on data was passed through, LCM called LDBU, according to the registration message that the user submits to, created new user data, comprised the UE attribute, and according to the location technology of supporting etc. corresponding UE degree of confidence was set;
(14) after new user's establishment was finished, LCM sent the message that succeeds in registration to the user, and this message is sent to LPG by the LII interface earlier;
(15) LPG converts the LII interface message to SMS, and the message that will succeed in registration of the Short Message Service Gateway by the PLMN network sends to user terminal.
User's register flow path among Fig. 4 only in the SMS mode as example, the same user's register flow path supported based on MMS or WAP or other access way of LTMS system, and adopt which kind of access way not influence the ultimate principle and the validity of method and system of the present invention.
As shown in Figure 5, the user log off flow process for the LTMS system may further comprise the steps:
(1) user sends the user log off request through user terminal by note, is sent to the LTMS system via PLMN network and Short Message Service Gateway wherein;
(2) LPG of LTMS system receives user's de-registration request, and the termination short message protocol is packaged into LII interface message form, and this user log off request message is transmitted to LCM;
(3) after LCM receives the user log off request message, the customer data base among the retrieval LDBU, judge whether this user is registered:
If this user is not a registered users, continued for (4) step;
If this user is a registered users, then jumped to for (6) step, continue the user log off flow process;
(4) LCM sends message " not being the registered user " to the user, need not to nullify; This message is sent to LPG by the LII interface earlier;
(5) LPG converts the LII interface message to SMS, and the Short Message Service Gateway by the PLMN network sends to user terminal with " not being the registered user " message;
(6) judge that at (3) step LCM this user for registered users, then carries out the user log off request, this user data of deletion from customer data base LDBU;
(7) LCM sends " user log off is finished " message to user terminal, and this message is sent to LPG by the LII interface earlier;
(8) LPG converts the LII interface message to SMS, and the Short Message Service Gateway by the PLMN network sends to user terminal with " user log off is finished " message.
User log off flow process among Fig. 5 only in the SMS mode as example, the same user log off flow process of supporting based on MMS or WAP or other access way of LTMS system, and adopt which kind of access way not influence the ultimate principle and the validity of method and system of the present invention.
As shown in Figure 6, the professional application process for the LTMS system may further comprise the steps:
(1) user sends the new business initial request through user terminal by note, as sending TR to service number, is sent to the LTMS system via PLMN network and Short Message Service Gateway wherein;
(2) LPG of LTMS system receives user's new business initial request note, and the termination short message protocol is packaged into LII interface message form, and this new business initial request message is transmitted to LCM;
(3) after LCM receives the new business initial request message, retrieve user data storehouse LDBU, judge whether this user is registered:
If this user is not a registered users, continued for (4) step, notify the user unregistered;
If this user is the registered user, jumped to for (6) step, continue formal professional application process;
(4) LCM sends message " not being the registered user " to the user, notifies the user also unregistered, and how prompting registers; This message is sent to LPG by the LII interface earlier;
(5) LPG converts the LII interface message to SMS, the Short Message Service Gateway by the PLMN network will " not being the registered user " message and the prompting of how to register send to the user; The user can initiate registration according to register flow path according to prompting;
(6) after (3) step, LCM judged this user's registered users, the new business initial request message is transmitted to LSM;
(7) LSM receives the new business initial request message, send " the clear form in professional formal Shen " message to the user, comprise the constraint condition of user default when wanting the user to fill in the execution business and the restrictive condition of user default, send to user's business output result's the content that when user default, will comprise, professional output result sends to user's mode with employing when user default, as SMS, WAP, MMS or alternate manner; This message is sent to LPG by the LII interface earlier;
(8) LPG converts the LII interface message to SMS, and the Short Message Service Gateway by the PLMN network sends to the user with professional formal application form;
(9) user submits professional formal application message according to the form of LTMS system requirements to by SMS, is sent to the LPG of LTMS system via PLMN network and Short Message Service Gateway wherein;
(10) LPG receives user's professional formal application note, and the termination short message protocol is packaged into LII interface message form, is transmitted to LSM;
(11) after LSM receives professional formal application message, judge whether filling in of professional request for data be complete:
If professional request for data is complete, then skip (12) (13), directly entered for (14) step;
If professional request for data is incomplete, then continued for (12) step;
After (12) (11) steps judged that professional request for data was incomplete, LSM sent professional application failed message to the user, comprises the reason of prompting failure, indicated which data imperfect or do not meet call format etc.; This message is sent to LPG by the LII interface earlier;
(13) LPG converts the LII interface message to SMS, by the Short Message Service Gateway of PLMN network business is applied for that failed message sends to the user;
The user can resubmit professional application according to miscue, repeats the flow process of (9)-(13), judges that until (11) step business datum is complete;
(14) after the complete judgement of professional request for data is passed through, LSM invoke user database LDBU, for this user creates the new business data, comprise that the restrictive condition setting of constraint condition setting, the user default of user default, the business output result that sends to the user comprise that the user default setting of content, professional output result adopt when sending to the user that the user default of mode is provided with etc.;
(15) after finishing for this user's new business data creation, LSM sends professional application success message to the user, and this message is sent to LPG by the LII interface earlier;
(16) LPG converts the LII interface message to SMS, by the Short Message Service Gateway of PLMN network business is applied for that success message sends to the user;
Professional application process among Fig. 6 only in the SMS mode as example, the same professional application process of supporting based on MMS or WAP or other access way of LTMS system, and adopt which kind of access way not influence the ultimate principle and the validity of method and system of the present invention.
As shown in Figure 7, spread the pin flow process, may further comprise the steps for the business of LTMS system:
(1) user cancels request through user terminal by short message transmission business, is sent to the LTMS system via PLMN network and Short Message Service Gateway wherein;
(2) LPG of LTMS system receives that user's business cancels request, and the termination short message protocol is packaged into LII interface message form, this business is cancelled request message be transmitted to LCM;
(3) after LSM receives that business is cancelled request message, search the business datum of this user among the customer data base LDBU, judge whether this user has applied for this business:
If this user does not apply for this business, continued for (4) step;
If this user applies should business, then jumped to for (6) step, the continuation business is cancelled flow process;
(4) LSM sends message to the user and " does not apply for this business ", need not to cancel; This message is sent to LPG by the LII interface earlier;
(5) LPG converts the LII interface message to SMS, and message sends to the user will " not apply for this business " by the Short Message Service Gateway of PLMN network;
(6) having judged user applies at (3) step LSM should business, then continues to carry out the service cancellation request this business datum of this user of deletion from customer data base LDBU;
(7) LSM sends " business is cancelled and finished " message to the user, and this message is sent to LPG by the LII interface earlier;
(8) LPG converts the LII interface message to SMS, and the Short Message Service Gateway by the PLMN network sends to user terminal with " business is cancelled and finished " message.
Business among Fig. 7 cancel flow process only in the SMS mode as example, the same support of LTMS system cancelled flow process based on the business of MMS or WAP or other access way, and adopts which kind of access way not influence the ultimate principle and the validity of method and system of the present invention.
As shown in Figure 8, four big key point and the different acquisition approach that generate for transport information:
(1) user management and message unit are collected the positional information of UE, comprise following dual mode:
UE positional information A:LTMS system initiates place information inquiry and obtains the UE positional information;
UE positional information B:LTMS obtains the UE positional information that UE initiates updating location information.
(2) movement velocity of service management and performance element estimation UE comprises following dual mode:
UE movement velocity A: based on the positional information of UE, the movement rate of the direction of motion of estimation UE and estimation UE;
UE movement velocity B: based on the positional information of UE, the direction of motion of estimation UE, the movement rate of UE then reports direct acquisition from UE.
UE movement velocity C: directly report the movement velocity that obtains UE, comprise movement rate and direction of motion from UE.
(3) corresponding relation of service management and performance element estimation UE and road unit section comprises the corresponding relation A of following dual mode: UE and road unit section: based on the positional information of UE, estimate in conjunction with transportation database LDBR to obtain; The corresponding relation B of UE and road unit section: directly report the corresponding relation that obtains with road unit section from UE.
The corresponding relation of road unit section and user terminal, can further utilize the average speed of user terminal movement velocity and road unit section, and the historical record of user terminal movement velocity and the upward historical record of vehicle average velocity of road unit section, by the corresponding relation of these information auxiliary judgment roads unit sections with UE.
(4) average speed and the magnitude of traffic flow of service management and performance element estimation road unit section comprise following three kinds of modes:
Road unit section average speed A: according to the corresponding relation of UE movement velocity, UE and road unit section and UE sample number etc., estimation obtains the average speed and the magnitude of traffic flow of road unit section;
Road unit section average speed B: obtain the road unit section average speed and the magnitude of traffic flow that directly report from UE;
The section average speed C of road unit: the average speed and the magnitude of traffic flow that obtain road unit section from road condition monitoring system.
For the traffic information creating method of describing among Fig. 8, a kind of concrete implementation has been described below:
(1) utilize the movement velocity of the variation of 2 positions, UE front and back, comprise movement rate and direction of motion divided by the mistiming estimation UE of 2 of front and back:
V _ UE i = L _ UE i ( t 2 ) - L _ UE i ( t 1 ) t 2 - t 1 ;
V_UE wherein iIt is the movement rate of i UE;
L_UE i(t 2) be that i UE is at t 2The position of time, L_UE i(t 1) be that i UE is at t 1Position during the time.UE direction of motion is then according to the position estimation of two end points of 2 coordinate position and road unit section.
(2) based on UE, utilize the UE movement rate carried out the speed V_RD_A that the degree of confidence weighted-average method obtains road unit section average speed corresponding to this road unit section:
V _ RD _ A = Σ i V _ UE i * C _ V _ UE i Σ i C _ V _ UE i ;
Wherein V_RD_A is based on the speed of the average speed of the road unit section of UE movement rate estimation, if this road unit section is two-way, then each direction is calculated the speed of average speed respectively.
V_UE iBe the movement rate of i UE, may obtain according to change in location estimation based on the formula in (1), or directly acquisition from the reporting of UE.
C_V_UE iBe the degree of confidence of the movement rate of i UE, here as the weighting weight of this UE movement rate; In the formula Summation is that all n UE with this road unit section corresponding direction is carried out.And the direction of the average speed of road unit section is consistent with corresponding unidirectional UE direction of motion.
(3) by reporting direct acquisition V_RD_B from UE, the speed for the average speed that reports road unit section of the unidirectional a plurality of UE of the same road of correspondence unit's section, adopt the UE degree of confidence to be weighted on average:
V _ RD _ B = Σ i V _ RD _ B _ UE i * C _ UE i Σ i C _ UE i ,
Wherein:
V_RD_B_UE iBe the speed of the average speed of this road unit section of reporting of i UE.
In the formula
Figure A20061002731000321
Summation is to report the UE of speed of the average speed of this road unit section to carry out to all of a direction corresponding with this road unit section.
(4) speed of the average speed of road unit section can be obtained by number of ways:
Estimate V_RD_A as what describe in (2) based on movement rate;
Perhaps as (3) by report direct acquisition V_RD_B from UE;
Perhaps obtain V_RD_C by road condition monitoring system;
The speed of the road unit section average speed that number of ways obtains is weighted on average with separately degree of confidence again, obtains the speed V_RD of the average speed of final road unit section:
V _ RD = V _ RD _ A * C _ V _ RD _ A + V _ RD _ B * C _ V _ RD _ B + V _ RD _ C * C _ V _ RD _ C C _ V _ RD _ A + C _ V _ RD _ B + C _ V _ RD _ C
Wherein C_V_RD_A is the degree of confidence based on the V_RD_A of UE movement rate estimation;
C_V_RD_B is by report the degree of confidence of the V_RD_B of direct acquisition from UE;
C_V_RD_C is the degree of confidence by the V_RD_C of road condition monitoring system acquisition.
The magnitude of traffic flow is according to the average speed and the estimation of corresponding UE number of the first section of above-mentioned road.
And in order to increase the accuracy of whole estimation, the key message that allows different approaches or distinct methods or adopt different pieces of information to obtain can both be brought into play corresponding value, each committed step that generates in above-mentioned transport information among the present invention has all been introduced the degree of confidence attribute, comprising:
UE degree of confidence C_UE i, the degree of confidence C_L_UE of the positional information of UE i, the degree of confidence C_V_UE of the movement rate of UE i, the degree of confidence C_RD﹠amp of UE and road unit section corresponding relation; UE iDegree of confidence C_V_RD_A based on the speed of the average speed of this road unit section of UE movement rate estimation, the degree of confidence C_V_RD_B of the speed of the average speed by reporting this road of direct acquisition unit section from UE, obtain the degree of confidence C_V_RD_C of speed of the average speed of this road unit section by road condition monitoring system, the degree of confidence C_V_RD of the speed of the average speed of the final road unit section that comprehensive number of ways obtains.
The degree of confidence of previous step is delivered to the degree of confidence of next step by the method based on the weighting standard difference, below is described as the implementation of a kind of confidence calculations and transmission:
(1)C_V_UE i=C_UE i*C_L_UE i
C_RD&UE i=C_UE i*C_L_UE i
Wherein:
C_UE iBe the UE degree of confidence of i UE, be provided with, and adjust according to user's use record according to the terminal attribute of UE and corresponding vehicle attribute; High more then its UE degree of confidence setting of precision of the location technology that UE supports is high more, and the setting of the fixing more then UE of the circuit of the vehicle of UE correspondence degree of confidence is high more; As corresponding vehicle is the public transit vehicle of permanent haulage line, and then its UE degree of confidence is high more, correspondingly utilizes the reliability of this information high more in system.
C_L_UE iBe the degree of confidence of the positional information of i UE, the precision of the location technology that UE supports more Gao Zeqi the degree of confidence of the positional information that produces of location technology is also high more thus, its degree of confidence of relative set when obtaining this positional information.
C_V_UE iBe the degree of confidence of the movement rate of i UE, when the movement rate of this UE is not to obtain but when directly reporting movement rate to obtain by UE by the positional information estimation, C_L_UE in the formula correspondingly iBe taken as 1, promptly to C_V_UE iThere is not contribution.
C_RD﹠amp; UE iBe the degree of confidence of i UE and this road unit section corresponding relation, when the movement rate of this UE is not to obtain but when directly reporting this corresponding relation to obtain by UE by the positional information estimation, C_L_UE correspondingly iBe taken as 1, to C_ RD﹠amp; UE iThere is not contribution.
(2) C _ V _ RD _ A = 1 - SD _ V _ RD _ A / n V _ RD _ A , When n>1;
C_V_RD_A=C VRDA1* C_V_UE i* C_RD﹠amp; UE i, when n=1;
Wherein
Figure A20061002731000332
When n>1;
Wherein:
V_UE iBe the movement rate of i UE, can obtain according to change in location estimation based on the formula in (1), or directly acquisition from the reporting of UE.
C_V_UE iBe the degree of confidence of the movement rate of i UE, C_RD﹠amp; UE iIt is the degree of confidence of i UE and this road unit section corresponding relation; Here to be used to calculate weighting standard as the weighting weight of this UE movement rate jointly poor for these two degree of confidence.
V_RD_A is the speed based on the average speed of this road unit section of UE movement rate estimation.
SD_V_RD_A is poor based on the weighting standard of the speed V_RD_A of this road unit section average speed of UE movement rate estimation; The discrete more then standard deviation of movement rate distribution of corresponding UE is big more, and pass through to increase the degree of confidence of UE movement rate as after the weight, high more then its discrete feature of the degree of confidence of UE movement rate is also high more to the discrete feature contribution of integral body, thereby reflects that the weighting standard difference of whole discreteness is also just reasonable more.
In the formula
Figure A20061002731000333
Summation is that all n UE with this road unit section corresponding direction is carried out.
C_V_RD_A is the degree of confidence based on the V_RD_A of UE movement rate estimation.
After corresponding UE surpassed 1, then this confidence calculations was based on weighting standard difference SD_V_RD_A; The weighting standard difference is big more, and degree of confidence is low more; And under the identical weighting standard difference situation, the degree of confidence of the many more correspondingly V_RD_A of UE is high more.
Have only 1 when corresponding UE, no longer can rationally reflect real degree of confidence, introduce C with weighting standard difference mode VRDA1Degree of confidence penalty coefficient when having only a UE reflects the degree of confidence of V_RD_A with the degree of confidence of the degree of confidence of the movement rate of this UE and UE and this road unit section corresponding relation.
(3) C _ V _ RD _ B = 1 - SD _ V _ RD _ B / m V _ RD _ B , When m>1;
C_V_RD_B=C VRDB1* C_UE i, when m=1;
SD _ V _ RD _ B = Σ i ( V _ RD _ B - UE i - V _ RD _ B ) 2 * C _ UE i ( m - 1 ) Σ i C _ UE I ;
Wherein, C_V_RD_B is by report the degree of confidence of direct acquisition V_RD_B from UE;
SD_V_RD_B is poor by the weighting standard of the speed V_RD_B of this road unit section average speed that reports direct acquisition from UE;
V_RD_B is the speed by the average speed of the road unit section that reports direct acquisition from UE;
M is total number of the speed of the average speed of the road unit section that reports on the same direction of this road unit section;
In the formula
Figure A20061002731000342
Summation is that the individual speed of the average speed of this road unit section that reports of all m of a direction corresponding with this road unit section is carried out.
(4) C _ V _ RD = 1 - SD _ V _ RD / k V _ RD , When k=2 or k=3;
C_V_RD=C_V_RD k, when k=1;
SD _ V _ RD = Σ k ( V _ R D k - V _ RD ) 2 * C _ V _ RD k ( k - 1 ) Σ k C _ V _ RD k ;
Wherein:
V_RD is the speed that the speed of the road unit section average speed of number of ways acquisition is weighted the average speed of first section in average back road again.
SD_V_RD is poor by the weighting standard of the V_RD of number of ways acquisition.
K is for obtaining the kind number of V_RD approach.
C_V_RD is the degree of confidence by the V_RD of number of ways acquisition.
C_V_RD kBe the degree of confidence of the speed of the road unit section average speed that obtains by each approach, i.e. C_V_RD_A described in (2), or the C_V_RD_B described in (3), or when road condition monitoring system obtains the degree of confidence C_V_RD_C of indirect assignment.
The degree of confidence of the magnitude of traffic flow adopts the identical degree of confidence of speed with road unit section average speed.
First key point that transport information described in Fig. 8 generates: the UE positional information, its collection flow process based on location technology may be by a variety of, and Fig. 9 and Figure 10 have described two kinds of typical flow processs of collecting:
As shown in Figure 9, the mode A-LTMS system of collecting the positional information of UE for user management and message unit initiates the flow process of UE place information inquiry, comprises the steps:
(1) LSM in the LTMS system is that LSE is provided with various configurations and the trigger condition that positional information is collected;
(2) LSE judges whether the trigger condition of positional information collection is satisfied:
If trigger condition satisfies, promptly, continue the positional information collection process to (3) step;
(3) LSE reads the information of registered users that satisfies condition from the LDBU database;
(4) LSE sends the LCS service request according to validated user information to the PLMN network, and the request customer position information passes to LPG by the LII interface earlier;
(5) LPG converts the LII interface message locating interface Le message of standard to, sends the LCS services request to GIS middleware GISMW or GIS, and GIS middleware GISMW or GIS depend on the configuration of telecom operators;
(16) GMLC passes to positional information the LPG of LTMS system by the Le interface with the LCS service response message;
(17) LPG termination Le locating interface agreement goes back to the LII interface message, and customer position information is dealt into LSE;
(18) LSE receives the customer position information that returns, and customer data base LDBU is advanced in this information updating, simultaneously according to the degree of confidence of this positional information of precision setting of the location technology that obtains to treat positional information.
(5) among Fig. 9-(16) are the positioning flow CS-MT-LR that the LCS Client of 3GPP standard TS23.271 (V4.13.0) and TS25.305 (V4.7.0) definition initiates, here only illustrate, no longer launch explanation, the LTMS system is corresponding to wherein LCS Client in the present embodiment;
Be example only among Fig. 9 with the CS territory positioning flow in GSM or the WCDMA network, the LTMS system support equally the PS territory positioning flow PS-MT-LR or other positioning flow, perhaps similar positioning flow such as CDMA or CDMA2000 or TD-SCDMA, and adopt which kind of positioning flow not influence the execution and the validity of method and system of the present invention.
As shown in figure 10, collect the updating location information flow process that the mode B-UE of the positional information of UE initiates for user management and message unit, comprise the steps:
(1) the UE end is equipped with application software UEA for the positioning flow that execution UE initiates, and the trigger condition of initiating updating location information is set in UEA, and the parameter of this setting can be confirmed by registration message when the user registers, and write simultaneously as local setting;
(2) UEA judges whether the trigger condition that this customer position information upgrades satisfies, as certain time interval:
If trigger condition satisfies, promptly, continue the updating location information process that UE initiates to (3) step;
(12) GMLC passes to positional information the LPG of LTMS system by the Le interface;
(15) locating interface agreement such as LPG termination Le goes back to the LII interface message, and customer position information is dealt into LSE;
(16) LSE receives the customer position information that returns, and customer data base LDBU is advanced in this information updating, simultaneously according to the degree of confidence of this positional information of precision setting of the location technology that obtains to treat positional information.;
(3) among Figure 10-(14) are the positioning flow (CS-MO-LR) that the UE of 3GPP standard TS23.271 (V4.13.0) and TS25.305 (V4.7.0) definition initiates, here only illustrate, no longer launch explanation, the LTMS system is corresponding to wherein LCS Client in the present embodiment.
Be example only among Figure 10 with the CS territory positioning flow in GSM or the WCDMA network, the LTMS system support equally the PS territory positioning flow CS-MO-LR or other positioning flow, perhaps similar positioning flow such as CDMA or CDMA2000 or TD-SCDMA, and adopt which kind of positioning flow not influence the execution and the validity of method and system of the present invention.
Figure 11, Figure 12, Figure 13 describe the LTMS system provides traffic information inquiry, routing, three kinds of business of traffic flow management based on transport information idiographic flow in detail:
As shown in figure 11, the flow process for the LTMS system provides the traffic information inquiry business may further comprise the steps:
(1) UE sends traffic information inquiry by the WAP selection area, as the inquiry magnitude of traffic flow, is sent to the LTMS system via PLMN network and WAP gateway wherein;
(2) LPG receives user's traffic information inquiry request, and the termination wap protocol is packaged into LII interface message form, LWS is transferred in this request handle;
Whether (3) LWS receives the user WAP operation that LPG transfers, and carries out necessary inspection, effective as data, and whether information is complete etc.; To effectively ask to submit to LSM afterwards handles;
(4) LSM carries out authentication to the user, judges whether validated user of user, and user's request is converted to the understandable operational factor of LSE;
(5) LSM sends the traffic information inquiry instruction of effective appointed area, comprises necessary parameter, hands over LSE to carry out;
(6) LSE carries out the appointed area traffic information inquiry, searches the road unit section of coupling from transportation database LDBR, and the transport information of corresponding road unit section from the LDBT database again is as average speed or flow;
(7) LSE to generalized information system inquiry map, by LII interface passes to LPG earlier according to the road unit section of coupling;
(8) LPG transfers the LII interface message of inside the map inquiry message of standard Li interface to, is dealt into the GIS gateway or the GIS of PLMN network, depends on the configuration of telecom operators;
(9) generalized information system is returned the map inquiry result to LPG by the Li interface;
(10) LPG transfers the map inquiry result of Li interface to inner LII interface message and sends LSE back to;
(11) LSE is superimposed with relevant transport information on map, as the magnitude of traffic flow, produces the electronic traffic information figure of appointed area;
(12) LSE sends back to the user with the appointed area electronic traffic information figure that produces, and issues LPG by inner LII interface earlier;
(13) LPG transfers inner LII interface to the WAP interface protocol, and the electronic traffic information figure Query Result of appointed area is passed to user terminal by WAP gateway.
Traffic information inquiry flow process instrument among Figure 11 in the WAP mode as example, the same traffic information inquiry flow process of supporting based on other access waies such as MMS or SMS of LTMS system, and adopt which kind of access way not influence the execution and the validity of method and system of the present invention.
As shown in figure 12, the flow process for the LTMS system provides the routing business may further comprise the steps:
(1) LTMS obtains according to described step of Fig. 8 and method and upgrades the real-time road unit section average speed and the magnitude of traffic flow.
(2) LSM sends road unit section average speed and traffic flow forecasting instruction, comprises necessary parameter, hands over LSE to carry out.
(3) LSE averages the prediction of the speed of a motor vehicle and the magnitude of traffic flow at road unit section:
Inquiry LDBT database obtains real-time the road unit section and the magnitude of traffic flow;
Inquiry LDBR database obtains the interconnected relationship between the road unit section;
To distribute corresponding weights to estimate to this road unit section predicted value influential road unit section instantaneous value and the road unit section that directly links to each other, instantaneous value as this road unit section assigns weight 40%, assign weight 30% with the adjacent road in the rear unit section on same road of the first section of this road, the proceeds posterolateral two road that intersect with this road assign weight 15% respectively for first section; The road shape that the basic of distribution of weight is different and difference is arranged is adjusted according to actual order of accuarcy simultaneously.
Prediction was carried out with the certain hour cycle, as every 5 minutes; The difference of predetermined period, the weight of relevant road unit section also need to adjust accordingly according to the time of passing through of each road unit section under the current average speed.
(4) LSE is updated to the LDBT database with the average speed of road unit section and the predicted value of the magnitude of traffic flow, calculates the respective confidence information that obtains according to foregoing method based on the weighting standard difference simultaneously and also is updated in the LDBT database in the lump;
(5) UE sends the routing request by WAP, is sent to the LTMS system via PLMN network and WAP gateway wherein; The routing request can comprise restrictive condition, constraint condition, routing result's the way of output, the content that the routing result comprises etc.;
(6) LPG receives user's routing request, and the termination wap protocol is packaged into LII interface message form, LWS is transferred in this request handle;
Whether (7) LWS receives the user WAP operation that LPG transfers, and carries out necessary inspection, effective as data, and whether information is complete etc.; To effectively ask to submit to LSM afterwards handles;
(8) LSM carries out authentication to the user, judges whether validated user of user; Inquiry LDBU finds user's current position information, and inquiry LDBT finds user's road corresponding unit section;
(9) LSM sends the routing instruction, comprises restrictive condition and constraint condition, hands over LSE to carry out;
Wherein restrictive condition obtains from following mode: user input, and user default, system default, perhaps with the combination of upper type:
A) user's input mode is meant that the user is by user terminal direct specified limit condition in the routing request of (5) step;
B) the user default mode is meant the default restrictive condition that does not use during the specified limit condition of arranging when the business application in the routing request, perhaps the user at the last restrictive condition that uses when once asking, perhaps the user is by the most nonexpondable restrictive condition in the former request of user terminal by user terminal;
C) the system default mode is meant in the routing request of (5) step and specifies, and the user carries out also not arranging under the situation of user default restrictive condition setting the system default restrictive condition of employing when business is applied for.
Restrictive condition comprises: the user specifies the place or the road of necessary process; The user specifies place or the road that must walk around; Place that default can not pass through or road; The highway section that is closed; The traffic control regulation that must observe; Or the combination of above condition.
Wherein constraint condition obtains from following mode: user input, and user default, system default, perhaps with the combination of upper type:
A) user's input mode is meant that the user directly specifies constraint condition by user terminal in the routing request of (5) step;
B) the user default mode be meant when the business application, arrange in the routing request, do not specify constraint condition the time the default restrictive condition that uses, perhaps the user in the last constraint condition of using when once asking, perhaps the user is by the most nonexpondable constraint condition in the former request of user terminal by user terminal;
C) the system default mode is meant in the routing request of (5) step and specifies, and the user do not arrange when carrying out professional application under the situation that user default constraint condition is provided with yet, and the system default constraint condition of employing is the shortest as the path.
Constraint condition comprises: the path is the shortest; Time is the shortest; Oil consumption is minimum; Most economical; The safest; Or the combination of above condition.
(10) LSE carries out primary election according to restrictive condition:
According to the annexation of road unit section, get rid of the path of not satisfying restrictive condition, select C bar path candidate according to the primary election condition of system default again; C equals 3 more than or equal to 1 as C; The primary election condition of system default is the shortest as distance.
(11) average speed of the first section of relevant road and the instantaneous value and the predicted value of the magnitude of traffic flow among the LSE inquiry LDBT according to constraint condition, are calculated respectively for the path candidate of just selecting, and generate the routing result.
The constraint condition difference, correspondingly the data of the calculating of routing utilization are also different:
A) minimum if constraint condition comprises oil consumption, then the calculating to routing will comprise utilization: the model data of user terminal correspondence; Data such as the oil consumption parameter under the various states; Or the combination of above data;
B) most economical if constraint condition comprises, then the calculating to routing will comprise utilization: the model data of user terminal correspondence; Data such as the oil consumption parameter under the various states; The pay imformation of road or bridge; Or the combination of above data;
C) the safest if constraint condition comprises, then the calculating to routing will comprise utilization: weather conditions; The contingency occurrence probability and the historical data of each road unit section; Contingency occurrence probability under different time sections and the different weather state; Or the combination of above data.
The content of exporting to user's routing result can be for following a kind of:
A) only comprise the optimal path of selecting according to constraint condition;
B) comprise according to the tactic successively mulitpath of constraint condition or whole path candidate, give the user and further judge and choice; As provide the shortest, inferior weak point under the shortest path condition of user's appointment, the 3rd short path; Or c) comprises optional several various boundary conditions or constraint condition combination optimal path down simultaneously, give the user and further judge and choice; Select for the user as providing the minimum path of shortest path, minimum path consuming time and oil consumption simultaneously.
Output routing result's content adopts anyly to be set in the following manner and obtains: user's input, and user default, system default, perhaps with the combination of upper type:
A) user's input mode is meant the content that the user directly specifies the routing result to comprise by user terminal in the routing request of (5) step;
B) the user default mode is meant the default routing setting of content as a result of not specifying routing to use during being provided with of content as a result of arranging when the business application in the routing request, perhaps the user in the last routing setting of content as a result of once asking using, perhaps the user is by the most nonexpondable routing setting of content as a result in the former request of user terminal by user terminal;
C) the system default mode is meant and does not specify the routing setting of content as a result in the routing request of (5) step, and the user carries out also not arranging under the situation of the user default routing setting of content as a result when business is applied for, the system default output routing setting of adopting of content as a result, as comprise first three paths of specifying constraint condition.
(12) LSE to generalized information system inquiry correlation map, by LII interface passes to LPG earlier according to the routing result;
(13) LPG transfers the LII interface message of inside the map inquiry message of Li interface to, is dealt into mobile network's GIS gateway or GIS;
(14) generalized information system is returned the map inquiry result to LPG by the Li interface;
(15) LPG transfers the map inquiry result of Li interface to inner LII interface message and sends LSE back to;
(16) LSE is added to the routing result on the map, represents selected path and path candidate with different colours, and the estimated value of corresponding constraint condition is superposeed up, produces routing electronic chart as a result;
(17) LSE with routing as a result electronic chart send back to the user, earlier issue LPG by inner LII interface;
(18) LPG transfers inner LII interface to the WAP interface protocol, with routing as a result electronic chart pass to user terminal by WAP gateway.
Routing result's the way of output comprises the mode that SMS, WAP, MMS and other communication network are supported, only in the WAP mode for example, LTMS system and method for the present invention and principle are supported above-described variety of way to the flow process of Figure 12.
And the selection of the way of output that the routing result adopts can be set and obtain in the following manner: user's input, and user default, system default, perhaps with the combination of upper type:
User's input mode is meant that the user directly specifies routing result's the way of output by user terminal in the routing request of (5) step;
The user default mode is meant the default way of output of not specifying routing to use during the way of output as a result of arranging when the business application in the routing request, perhaps the user in the last routing of using when once the asking way of output as a result, perhaps the user is by the way of output as a result of the most nonexpondable routing in the former request of user terminal by user terminal;
The system default mode is meant does not specify the routing way of output as a result in the routing request of (5) step, and the user carries out also not arranging when business is applied under the user default routing situation that the way of output is provided with as a result, the system default output routing that adopts is the way of output as a result, as the WAP mode.
Described in Figure 12 for the LTMS system provides a kind of flow process of routing business, the LTMS system can also support the another kind of flow process of routing business, the difference of these two kinds of flow processs is:
Flow process among Figure 12 is earlier all road unit sections to be carried out prediction-step (2)-(4), receives the routing request of UE again, and utilization has generated good instantaneous value and predicted value in advance and carried out follow-up routing process again;
Another kind of flow process is not then carried out prediction to all road unit sections in advance, but at first receives the routing request of UE, utilizes restrictive condition to carry out primary election according to the routing request, again road unit section relevant after the primary election is carried out prediction, continues the routing process of back again; This flow process is no longer specifically launched.
As shown in figure 13, the flow process for the LTMS system provides the traffic flow management business may further comprise the steps:
(1) LTMS obtains according to described step of Fig. 8 and method and upgrades the real-time road unit section average speed and the magnitude of traffic flow.
(2) LSM sends road unit section average speed and traffic flow forecasting instruction, comprises necessary parameter, hands over LSE to carry out.
(3) LSE averages the prediction of the speed of a motor vehicle and the magnitude of traffic flow at road unit section:
Inquiry LDBT database obtains real-time the road unit section and the magnitude of traffic flow;
Inquiry LDBR database, the interconnected relationship of acquisition road unit section;
To distribute corresponding weights to estimate to this road unit section predicted value influential road unit section instantaneous value and the road unit section that directly links to each other, instantaneous value as this road unit section assigns weight 40%, assign weight 30% with the adjacent road in the rear unit section on same road of the first section of this road, the proceeds posterolateral two road that intersect with this road assign weight 15% respectively for first section; The road shape that the basic of distribution of weight is different and difference is arranged is adjusted according to actual order of accuarcy simultaneously.
Prediction was carried out with the certain hour cycle, as every 5 minutes; The difference of predetermined period, the weight of relevant road unit section also need to adjust accordingly according to the time of passing through of each road unit section under the current average speed.
(4) LSE is updated to the LDBT database with the average speed of road unit section and the predicted value of the magnitude of traffic flow, calculates the respective confidence information that obtains according to foregoing method based on the weighting standard difference simultaneously and also is updated in the lump in the LDBT database.
(5) LCM collects the traffic flow management request of LCM client terminal input, is dealt into LSM;
The traffic flow management request can be at following arbitrary object: particular link unit section, specify the combination of crossing, appointed area or above object;
The traffic flow management request can be the instant request of carrying out, or given trigger condition, carries out when satisfying again.
(6) LSM is various configurations and the trigger condition that LSE is provided with traffic flow management;
Trigger condition such as road unit section average speed are lower than 20km/h;
(7) LSE judges whether the trigger condition of traffic flow management is satisfied;
If trigger condition satisfies or the instant request of carrying out, promptly to (8) step, continue following traffic flow management process, the modes such as restrictive condition that by adjusting traffic lights, upgrade the road conditions indication, send the road conditions caution or routing is set to UE are carried out traffic flow management and control;
(8) LSE inquiry roads database LDBR searches relevant road unit's section and the traffic lights that congested grade needs the road unit section of traffic management takes place;
(9) LSE sends the traffic lights adjustment information to traffic light control system, as prolongs congested road unit's period of going up green light, perhaps increases the number of track-lines of congested direction in the controlled road unit section of lamp for vehicle lane; This traffic lights adjustment information is issued LPG by inner LII interface earlier;
(10) LPG transfers inner LII interface to traffic light control system interface message, sends the traffic lights adjustment information;
(11) LSE sends that road condition updating is especially congested to be warned to the road conditions indication mechanism, comprises road conditions or congested direction board on the road, the road conditions indication on the WEB webpage, the road conditions indicator panel at Centralized Monitoring center etc.; Evade congested route by road conditions indication mechanism guiding user; This road condition updating message is issued LPG by inner LII interface earlier;
(12) LPG transfers inner LII interface to the road conditions indication mechanism interface message, sends the road conditions indication and upgrades especially congested caution;
(13) LSE inquiry traffic flow data storehouse LDBT searches congested relevant road unit's section and the corresponding user who needs the road unit section of traffic management is taken place;
(14) LSE sends the road conditions information warning to the associated user, reminds the user to avoid the first section of congested road; This message is issued LPG by inner LII interface earlier;
(15) LPG converts the LII interface message to SMS, and the Short Message Service Gateway by the PLMN network sends to the user with the road conditions alert messages.
(16) the routing restrictive condition that congested road unit section is set to system takes place in LSE, will avoid selecting congested road unit section when carrying out the routing operation as far as possible.
Traffic flow management request among Figure 13 is only collected as example by its client terminal with LCM, and same support of LTMS system initiated the traffic flow management request based on specific UE, and perhaps default trigger condition in the system automatically performs after satisfying trigger condition; And adopt which kind of mode not influence the ultimate principle and the validity of method and system of the present invention.
Described in Figure 13 for the LTMS system provides a kind of flow process of traffic flow management business, the LTMS system can also support the another kind of flow process of traffic management business, the difference of these two kinds of flow processs is:
Flow process among Figure 13 is earlier all road unit section execution to be predicted, receives and trigger the traffic flow management request again, utilizes and generates good instantaneous value and predicted value execution traffic flow management process in advance;
Another kind of flow process is not then carried out prediction to all road unit sections in advance, but at first receives and trigger the traffic flow management request, only carries out prediction at relevant road unit section again, continues back traffic flow management process again; This flow process is no longer specifically launched.

Claims (84)

1. transport information production method, described method comprises the following steps:
(1) collects position information of user's terminal;
(2) movement velocity of estimation user terminal comprises speed and direction;
(3) corresponding relation of estimation road unit section and user terminal;
(4) the real-time road unit section average speed and/or the magnitude of traffic flow of estimation.
2. the method described in claim 1 is characterized in that, can predict the average speed or the magnitude of traffic flow of following A time point road unit section further based on the average speed or the magnitude of traffic flow of real-time road unit section, and A is more than or equal to 1.
3. as the method for claim 1-2 described in each, it is characterized in that the following arbitrary mode of described collection position information of user's terminal utilization obtains:
(1) initiates inquiry by system side;
(2) initiatively report from subscriber terminal side;
(3) with the combination of upper type.
4. as the method for claim 1-3 described in each, it is characterized in that described user terminal movement velocity utilizes following arbitrary mode to obtain:
(1) estimates based on the positional information of user terminal;
(2) directly collect the movement rate that obtains user terminal, estimate the direction of motion of user terminal based on the positional information of user terminal by the user terminal place;
(3) directly collect the movement velocity that obtains user terminal, comprise movement rate and direction of motion by the user terminal place;
(4) with the combination of upper type.
5. as the method for claim 1-4 described in each, it is characterized in that, the corresponding relation of described road unit section and user terminal, arbitrary mode obtains below utilizing:
(1) obtains the corresponding relation of road unit section and user terminal based on the positional information of user terminal and road attribute data estimation;
(2) directly collect the corresponding relation that obtains road unit section and user terminal by the user terminal place;
(3) with the combination of upper type.
6. as the method for claim 1-5 described in each, it is characterized in that, the corresponding relation of described road unit section and user terminal, further can utilize the average speed of the first section of user terminal movement velocity and road, and the historical record of user terminal movement velocity and the upward historical record acquisition of vehicle average velocity of road unit section.
7. as the method for claim 1-6 described in each, it is characterized in that the described real-time road unit's section average speed and the magnitude of traffic flow utilize following arbitrary mode to obtain:
(1) estimates real-time the road unit section average speed and the magnitude of traffic flow according to the movement velocity of respective user terminal;
(2) directly obtain real-time the road unit section average speed and the magnitude of traffic flow by the collection of user terminal place;
(3) obtain real-time the road unit section average speed and the magnitude of traffic flow by road condition monitoring system;
(4) with the combination of upper type.
8. as the method for claim 1-7 described in each, it is characterized in that described user terminal is endowed the degree of confidence attribute, i.e. the UE degree of confidence.
9. the method described in claim 8 is characterized in that, described UE degree of confidence is according to the attribute setting of UE; The high more then UE of the location technology precision degree of confidence that UE supports is high more; The fixing more then degree of confidence of the route of the vehicle of UE correspondence is high more.
10. as the method for claim 1-7 described in each, it is characterized in that described position information of user's terminal is endowed the degree of confidence attribute.
11. the method described in claim 10, it is characterized in that, the degree of confidence of described position information of user's terminal is according to the approach setting that obtains this positional information: if it is high more to obtain the precision of location technology of this positional information, then the degree of confidence of this UE positional information is also high more.
12., it is characterized in that described user terminal (UE) movement rate or speed are endowed the degree of confidence attribute as the method for claim 1-7 described in each.
13. the method described in claim 12 is characterized in that, the degree of confidence of described UE movement rate is according to the approach setting that obtains this movement rate:
When the UE movement rate is that the degree of confidence of UE movement rate is directly determined by the UE degree of confidence of this UE when directly reporting movement rate to obtain by UE; UE puts SHIN-ETSU HANTOTAI's height, and the degree of confidence of the UE movement rate that this UE reports is also high more; When the UE movement rate is when obtaining by UE positional information estimation, the degree of confidence of UE movement rate is determined jointly by the UE degree of confidence of this UE and the degree of confidence of UE positional information; Under the identical situation of UE degree of confidence, the high more then UE of UE positional information degree of confidence movement rate degree of confidence is also high more; Under the identical situation of the degree of confidence of UE positional information, the high more then UE of UE degree of confidence movement rate degree of confidence is also high more.
14., it is characterized in that the corresponding relation of described road unit section and user terminal is endowed the degree of confidence attribute as the method for claim 1-7 described in each.
15. the method described in claim 14 is characterized in that, the degree of confidence of described road unit section and UE corresponding relation is according to the approach setting of this corresponding relation of acquisition:
When road unit section and UE corresponding relation are that road unit section is directly determined by the UE degree of confidence of this UE with the degree of confidence of UE corresponding relation when directly directly reporting corresponding relation to obtain by UE; UE puts SHIN-ETSU HANTOTAI's height, and the road unit section that this UE reports is also high more with the degree of confidence of UE corresponding relation;
When road unit section and UE corresponding relation are when obtaining by the estimation of UE positional information, road unit section is determined by the UE degree of confidence of this UE and the degree of confidence of UE positional information jointly with the degree of confidence of UE corresponding relation; Under the identical situation of UE degree of confidence, the high more then road of UE positional information degree of confidence unit section is also high more with the degree of confidence of UE corresponding relation; Under the identical situation of the degree of confidence of UE positional information, the high more then road of UE degree of confidence unit section is also high more with the degree of confidence of UE corresponding relation.
16. the method described in claim 7, it is characterized in that, the magnitude of traffic flow of the speed of the average speed of road unit section or speed or road unit section in described (1) the kind mode, it comprises and utilizes corresponding UE movement rate degree of confidence based on the estimation that the UE movement rate carries out; The high more UE movement rate of degree of confidence is big more to the contribution of the average speed of road unit section or the magnitude of traffic flow.
17. the method described in claim 7 is characterized in that, the estimation of the magnitude of traffic flow of the speed of the average speed of road unit section or speed or road unit section comprises the UE degree of confidence of utilizing corresponding UE in described (2) the kind mode; The speed of the average speed of road that the UE that degree of confidence is high more reports unit section or the magnitude of traffic flow are big more to the contribution of the average speed of road unit section or the magnitude of traffic flow.
18. the method described in claim 7 is characterized in that, the speed of average speed of fast road unit section or the magnitude of traffic flow of speed or road unit section, according to different acquisition modes, be endowed corresponding degree of confidence attribute respectively.
19. as the method for claim 7 or 18 described in each, it is characterized in that, the average speed or the magnitude of traffic flow of the described road unit section that obtains by the movement velocity estimation of corresponding UE, the calculating of its degree of confidence comprise the degree of confidence of utilizing the UE movement velocity, the dispersion degree of UE movement velocity or the combination of road unit same direction corresponding UE number of section or above factor:
Two factors are constant in addition, and the degree of confidence of UE movement velocity is high more, and then the degree of confidence of the average speed of road unit section or the magnitude of traffic flow is high more;
Two factors are constant in addition, and the dispersion degree of UE movement velocity is low more, and then the degree of confidence of the average speed of road unit section or the magnitude of traffic flow is high more;
Two factors are constant in addition, and UE number corresponding on the same direction of road unit section is many more, and then the degree of confidence of the average speed of road unit section or the magnitude of traffic flow is high more.
20. as the method for claim 7 or 18 described in each, it is characterized in that, the average speed or the magnitude of traffic flow of the described road unit section that reports acquisition by corresponding UE, the calculating of its degree of confidence comprises average speed or the dispersion degree of the magnitude of traffic flow or the combination that the same direction of road unit section reports number or the above factor of UE of the road unit section of utilizing the UE degree of confidence, reporting:
Two factors are constant in addition, and the UE degree of confidence is high more, and then the degree of confidence of the average speed of road unit section or the magnitude of traffic flow is high more;
Two factors are constant in addition, and the average speed of the road unit section that reports or the dispersion degree of the magnitude of traffic flow are low more, and then the degree of confidence of the average speed of road unit section or the magnitude of traffic flow is high more;
Two factors are constant in addition, and the same direction of road unit section reports the number of UE many more, and then the degree of confidence of the average speed of road unit section or the magnitude of traffic flow is high more.
21. as claim 7 or the 18-20 method described in each, the average speed or the magnitude of traffic flow of the described road unit section that obtains by number of ways, gather the average speed or the magnitude of traffic flow that generate final road unit section, comprise the average speed or the magnitude of traffic flow of utilizing the road unit section that different approaches obtains, with and confidence information; The average speed of the road unit section that arbitrary approach obtains or the degree of confidence of the magnitude of traffic flow are high more, and then its contribution to the average speed of final road unit section or the magnitude of traffic flow is big more.
22. the method described in claim 21, the average speed or the magnitude of traffic flow of described final road unit section are endowed confidence information, and the calculating of this degree of confidence comprises the dispersion degree of the average speed that utilizes the road unit section that each approach obtains or the magnitude of traffic flow, average speed or the respective confidence of the magnitude of traffic flow, the approach number of acquisition or the combination of above factor of road unit section that each approach obtains:
Two factors are constant in addition, and the average speed of the road unit section that each approach obtains or the respective confidence of the magnitude of traffic flow are high more, and then the degree of confidence of the average speed of final road unit section or the magnitude of traffic flow is high more;
Two factors are constant in addition, and the average speed of the road unit section that each approach obtains or the dispersion degree of the magnitude of traffic flow are low more, and then the degree of confidence of the average speed of final road unit section or the magnitude of traffic flow is high more;
Two factors are constant in addition, and the acquisition approach is many more, and then the degree of confidence of the average speed of road unit section or the magnitude of traffic flow is high more.
23. as the method for claim 1-7 described in each, it is characterized in that, described user terminal, be at least a kind of in the following terminal: the new wireless communication technology terminals such as terminal, LTE, AIE, B3G or 4G of wireless access such as GSM terminal, CDMA terminal, PHS PAS terminal, WCDMA terminal, CDMA2000 terminal, TD-SCDMA terminal, WLAN or WiMAX, or adopt the bimodulus or the multimode terminal of above multiple technologies combination; Perhaps have the GPS in-vehicle navigation apparatus of above terminal module as communication module.
24., it is characterized in that described user terminal is if wireless communication terminal further has station-keeping ability as the method for claim 1-7 or 23 described in each.
25. a route selecting method, described method comprises the following steps:
(1) obtains real-time the road unit section average speed and the magnitude of traffic flow;
(2) based on real-time the road unit section average speed and the magnitude of traffic flow, predict the average speed and the magnitude of traffic flow of following B time point road unit section, B is more than or equal to 1;
(3) reception is from the routing request of user terminal;
(4) according to restrictive condition, just select C bar path candidate, C is more than or equal to 1;
(5), calculate the output routing result respectively at C bar path candidate according to constraint condition.
26. the method described in claim 25 is characterized in that, the step of described method is adjusted as follows:
(1) obtains real-time the road unit section average speed and the magnitude of traffic flow;
(2) reception is from the routing request of user terminal;
(3) according to restrictive condition, just select D bar path candidate, D is more than or equal to 1;
(4) based on real-time road unit section average speed and the magnitude of traffic flow and the path candidate just selected, predict the average speed and the magnitude of traffic flow of first section in the following E time point road relevant with path candidate, E is more than or equal to 1;
(5), calculate the output routing result respectively at D bar path candidate according to constraint condition.
27., it is characterized in that described constraint condition obtains by following arbitrary mode as the method for claim 25-26 described in each:
(1) user's input;
(2) user default;
(3) system default;
(4) with the combination of upper type.
28., it is characterized in that described constraint condition is following arbitrary condition as the method for claim 25-27 described in each:
(1) path is the shortest;
(2) time is the shortest;
(3) oil consumption is minimum;
(4) most economical;
(5) the safest;
(6) combination of above condition.
29. as the method for claim 25-28 described in each, it is characterized in that, minimum if constraint condition comprises oil consumption, then will comprise and utilize following arbitrary data the calculating of routing:
(1) model data of user terminal correspondence;
(2) data such as oil consumption parameter under the various states;
(3) combination of above data.
30. as the method for claim 25-28 described in each, it is characterized in that, most economical if constraint condition comprises, then will comprise and utilize following arbitrary data the calculating of routing:
(1) model data of user terminal correspondence;
(2) data such as oil consumption parameter under the various states;
(3) pay imformation of road or bridge;
(4) combination of above data.
31. as the method for claim 25-28 described in each, it is characterized in that, the safest if constraint condition comprises, then will comprise and utilize following arbitrary data the calculating of routing:
(1) weather conditions;
(2) contingency occurrence probability and the historical data of each road unit section;
(3) contingency occurrence probability under different time sections and the different weather state;
(4) combination of above data.
32., it is characterized in that the restrictive condition of using in the described primary election path candidate step obtains by following arbitrary mode as the method for claim 25-26 described in each:
(1) user's input;
(2) user default;
(3) system default;
(4) with the combination of upper type;
33., it is characterized in that described restrictive condition is following arbitrary condition as the method for claim 25-26 or 32 described in each:
(1) user specifies the place or the road of necessary process;
(2) user specifies place or the road that must walk around;
(3) the default place or the road that can not pass through;
(4) highway section that is closed;
(5) the traffic control regulation that must observe;
(6) combination of above condition.
34. as the method for claim 25-26 described in each, it is characterized in that, described routing result's content comprise following any:
(1) only comprises the optimal path of selecting according to constraint condition;
(2) comprise according to the tactic successively mulitpath of constraint condition or whole path candidate, give the user and further judge and choice;
(3) comprise optional several various boundary conditions or constraint condition combination optimal path down simultaneously, give the user and further judge and choice.
35., it is characterized in that the content that described routing result comprises or routing result's the way of output are set by following arbitrary mode as the method for claim 25-26 or 34 described in each:
(1) user's input;
(2) user default;
(3) system default;
(4) with the combination of upper type;
36. a traffic flow management method, described method comprises the following steps:
(1) obtains real-time the road unit section average speed and the magnitude of traffic flow;
(2) based on the real-time sharp magnitude of traffic flow of road unit section average speed, predict the average speed and the magnitude of traffic flow of following F time point road unit section, F is more than or equal to 1;
(3) request of reception traffic flow management;
(4) according to the average speed of road unit section and the instantaneous value and the predicted value of the magnitude of traffic flow, carry out traffic flow management and control.
37. the method described in claim 36 is characterized in that, the step of described method is adjusted as follows:
(1) obtains real-time the road unit section average speed and the magnitude of traffic flow;
(2) request of reception traffic flow management;
(3) based on real-time the road unit section average speed and the magnitude of traffic flow, predict the average speed and the magnitude of traffic flow of the road unit section that a following G time point is relevant with the traffic flow management request, G is more than or equal to 1;
(4) according to the average speed of road unit section and the instantaneous value and the predicted value of the magnitude of traffic flow, carry out traffic flow management and control.
38., it is characterized in that the request of described traffic flow management obtains by following arbitrary mode as the method for claim 36 or 37 described in each:
(1) imports by user terminal;
(2) import by system side;
(3) default trigger condition is by starting automatically in the system;
(4) with the combination of upper type.
39. as the method for claim 36-38 described in each, it is characterized in that, the request of described traffic flow management and control, at following arbitrary object:
(1) particular link unit section;
(2) specify the crossing;
(3) appointed area;
(4) combination of above object.
40., it is characterized in that described traffic flow management and control comprise following arbitrary mode as the method for claim 36 or 37 described in each:
(1) by the traffic light control system adjustment traffic lights relevant with control;
(2) traffic information in the renewal road conditions indication mechanism is with the guiding user;
(3) send the road conditions information warning to user terminal with the guiding user;
(4) routing performance constraint condition is set, when routing is professional, avoids selecting congested road unit section.
(5) with the combination of upper type.
41. the method that the business relevant with transport information is provided, described method comprises following process:
(1) user management comprises that the user registers and user log off;
(2) service management comprises that business is applied for and business is cancelled;
(3) transport information generates, and obtains real-time the road unit section average speed and the magnitude of traffic flow;
(4), carry out business such as traffic information inquiry, routing or traffic flow management according to the business application.
42. the method described in claim 41 is characterized in that, described transport information generates or each business procedure, further utilizes following arbitrary data:
(1) average speed of road unit section and the historical data of the magnitude of traffic flow;
(2) average speed and the magnitude of traffic flow and the historical data thereof of the first section of relevant road;
(3) weather condition;
(4) week and holiday etc.;
(5) major event;
(6) control traffic message;
(7) combination of above data.
43. the method described in claim 41 is characterized in that, the arbitrary professional content or professional way of output of carrying out the output result that the output result comprises of carrying out in described (4) step set by following arbitrary mode:
(1) user's input;
(2) user default;
(3) system default;
(4) with the combination of upper type.
44. a traffic information management system LTMS comprises at least one computing machine or server, it is characterized in that, this system comprises:
(1) user management and information collection unit are used to collect position information of user's terminal;
(2) service management and performance element are used to estimate the movement velocity of user terminal, the corresponding relation of estimation road unit section and user terminal, and estimate real-time the road unit section average speed and the magnitude of traffic flow; Described movement velocity comprises movement rate and direction of motion.
45. the system described in claim 44, it is characterized in that, described service management and performance element can be predicted the average speed and the magnitude of traffic flow of following A time point road unit section further based on real-time the road unit section average speed and the magnitude of traffic flow, and A is more than or equal to 1.
46., it is characterized in that the following arbitrary mode of described user management and information collection unit utilization is collected position information of user's terminal as the system of claim 44-45 described in each:
(1) initiates inquiry by system side;
(2) initiatively report from subscriber terminal side;
(3) with the combination of upper type.
47., it is characterized in that described user terminal movement velocity utilizes following arbitrary mode to obtain as the system of claim 44-46 described in each:
(1) service management and performance element are estimated based on the positional information of user terminal;
(2) user management and information collection unit are directly collected the movement rate that obtains user terminal by the user terminal place; Service management and performance element are based on the direction of motion of the positional information estimation user terminal of user terminal;
(3) user management and information collection unit are directly collected the movement velocity that obtains user terminal by the user terminal place, comprise movement rate and direction of motion;
(4) with the combination of upper type.
48. as the system of claim 44-47 described in each, it is characterized in that, the corresponding relation of described road unit section and user terminal, arbitrary mode obtains below utilizing:
(1) service management and performance element obtain based on the positional information and the road attribute data estimation of user terminal;
(2) user management and information collection unit are directly collected the corresponding relation obtain road unit section and user terminal by the user terminal place;
(3) with the combination of upper type.
49. as the system of claim 44-48 described in each, it is characterized in that, the corresponding relation of described road unit section and user terminal, service management and performance element can further utilize following data to estimate:
(1) average speed of user terminal movement velocity and road unit section;
(2) historical record of the average speed of the historical record of user terminal movement velocity and road unit section.
50., it is characterized in that the described Real-time Road unit's section average speed and the magnitude of traffic flow utilize following arbitrary mode to obtain as the system of claim 44-49 described in each:
(1) service management and performance element are estimated according to the movement velocity of respective user terminal;
(2) user management and information collection unit are directly collected by the user terminal place and are obtained;
(3) user management and information collection unit obtain real-time the road unit section average speed and the magnitude of traffic flow by road condition monitoring system;
(4) with the combination of upper type.
51., it is characterized in that described user terminal is endowed the degree of confidence attribute, i.e. the UE degree of confidence as the system of claim 44-50 described in each.
52. system as claimed in claim 51 is characterized in that, described UE degree of confidence is according to the attribute setting of UE; The high more then UE of the location technology precision degree of confidence that UE supports is high more; The fixing more then degree of confidence of the route of the vehicle of UE correspondence is high more.
53., it is characterized in that described position information of user's terminal is endowed the degree of confidence attribute as the system of claim 44-50 described in each.
54. system as claimed in claim 53, it is characterized in that, the degree of confidence of described position information of user's terminal is according to the approach setting that obtains this positional information: if it is high more to obtain the precision of location technology of this positional information, then the degree of confidence of this UE positional information is also high more.
55., it is characterized in that described user terminal (UE) movement rate or speed are endowed the degree of confidence attribute as the system of claim 44-50 described in each.
56. the system described in claim 55 is characterized in that, the degree of confidence of described UE movement rate is according to the approach setting that obtains this movement rate:
When the UE movement rate is that the degree of confidence of UE movement rate is directly determined by the UE degree of confidence of this UE when directly reporting movement rate to obtain by UE; UE puts SHIN-ETSU HANTOTAI's height, and the degree of confidence of the UE movement rate that this UE reports is also high more; When the UE movement rate is when obtaining by UE positional information estimation, the degree of confidence of UE movement rate is determined jointly by the UE degree of confidence of this UE and the degree of confidence of UE positional information; Under the identical situation of UE degree of confidence, the high more then UE of UE positional information degree of confidence movement rate degree of confidence is also high more; Under the identical situation of the degree of confidence of UE positional information, the high more then UE of UE degree of confidence movement rate degree of confidence is also high more.
57., it is characterized in that the corresponding relation of described road unit section and user terminal is endowed the degree of confidence attribute as the system of claim 44-50 described in each.
58. system as claimed in claim 57, its feature exists, and the degree of confidence of described road unit section and UE corresponding relation is according to the approach setting of this corresponding relation of acquisition:
When road unit section and UE corresponding relation are that road unit section is directly determined by the UE degree of confidence of this UE with the degree of confidence of UE corresponding relation when directly directly reporting corresponding relation to obtain by UE; UE puts SHIN-ETSU HANTOTAI's height, and the road unit section that this UE reports is also high more with the degree of confidence of UE corresponding relation;
When road unit section and UE corresponding relation are when obtaining by the estimation of UE positional information, road unit section is determined by the UE degree of confidence of this UE and the degree of confidence of UE positional information jointly with the degree of confidence of UE corresponding relation; Under the identical situation of UE degree of confidence, the high more then road of UE positional information degree of confidence unit section is also high more with the degree of confidence of UE corresponding relation; Under the identical situation of the degree of confidence of UE positional information, the high more then road of UE degree of confidence unit section is also high more with the degree of confidence of UE corresponding relation.
59. the system described in claim 50, it is characterized in that, the magnitude of traffic flow of the speed of the average speed of road unit section or speed or road unit section in described (1) the kind mode, it comprises and utilizes corresponding UE movement rate degree of confidence based on the estimation that the UE movement rate carries out; The high more UE movement rate of degree of confidence is big more to the contribution of the average speed of road unit section or the magnitude of traffic flow.
60. the system described in claim 50 is characterized in that, the estimation of the magnitude of traffic flow of the speed of the average speed of road unit section or speed or road unit section comprises the UE degree of confidence of utilizing corresponding UE in described (2) the kind mode; The speed of the average speed of road that the UE that degree of confidence is high more reports unit section or the magnitude of traffic flow are big more to the contribution of the average speed of road unit section or the magnitude of traffic flow.
61. the system described in claim 50 is characterized in that, the speed of average speed of fast road unit section or the magnitude of traffic flow of speed or road unit section, according to different acquisition modes, be endowed corresponding degree of confidence attribute respectively.
62. as the system of claim 50 or 61 described in each, it is characterized in that, the average speed or the magnitude of traffic flow of the described road unit section that obtains by the movement velocity estimation of corresponding UE, the calculating of its degree of confidence comprise the degree of confidence of utilizing the UE movement velocity, the dispersion degree of UE movement velocity or the combination of road unit same direction corresponding UE number of section or above factor:
Two factors are constant in addition, and the degree of confidence of UE movement velocity is high more, and then the degree of confidence of the average speed of road unit section or the magnitude of traffic flow is high more;
Two factors are constant in addition, and the dispersion degree of UE movement velocity is low more, and then the degree of confidence of the average speed of road unit section or the magnitude of traffic flow is high more;
Two factors are constant in addition, and UE number corresponding on the same direction of road unit section is many more, and then the degree of confidence of the average speed of road unit section or the magnitude of traffic flow is high more.
63. as the system of claim 50 or 61 described in each, it is characterized in that, the average speed or the magnitude of traffic flow of the described road unit section that reports acquisition by corresponding UE, the calculating of its degree of confidence comprises average speed or the dispersion degree of the magnitude of traffic flow or the combination that the same direction of road unit section reports number or the above factor of UE of the road unit section of utilizing the UE degree of confidence, reporting:
Two factors are constant in addition, and the UE degree of confidence is high more, and then the degree of confidence of the average speed of road unit section or the magnitude of traffic flow is high more;
Two factors are constant in addition, and the average speed of the road unit section that reports or the dispersion degree of the magnitude of traffic flow are low more, and then the degree of confidence of the average speed of road unit section or the magnitude of traffic flow is high more;
Two factors are constant in addition, and the same direction of road unit section reports the number of UE many more, and then the degree of confidence of the average speed of road unit section or the magnitude of traffic flow is high more.
64. as arbitrary described system among claim 50 or the 61-63, the average speed or the magnitude of traffic flow of the described road unit section that obtains by number of ways, gather the average speed or the magnitude of traffic flow that generate final road unit section, comprise the average speed or the magnitude of traffic flow of utilizing the road unit section that different approaches obtains, with and confidence information; The average speed of the road unit section that arbitrary approach obtains or the degree of confidence of the magnitude of traffic flow are high more, and then its contribution to the average speed of final road unit section or the magnitude of traffic flow is big more.
65. as the described system of claim 64, the average speed or the magnitude of traffic flow of described final road unit section are endowed confidence information, and the calculating of this degree of confidence comprises the dispersion degree of the average speed that utilizes the road unit section that each approach obtains or the magnitude of traffic flow, average speed or the respective confidence of the magnitude of traffic flow, the approach number of acquisition or the combination of above factor of road unit section that each approach obtains:
Two factors are constant in addition, and the average speed of the road unit section that each approach obtains or the respective confidence of the magnitude of traffic flow are high more, and then the degree of confidence of the average speed of final road unit section or the magnitude of traffic flow is high more;
Two factors are constant in addition, and the average speed of the road unit section that each approach obtains or the dispersion degree of the magnitude of traffic flow are low more, and then the degree of confidence of the average speed of final road unit section or the magnitude of traffic flow is high more;
Two factors are constant in addition, and the acquisition approach is many more, and then the degree of confidence of the average speed of road unit section or the magnitude of traffic flow is high more.
66. as the system of claim 44-50 described in each, it is characterized in that, described user terminal, be at least a kind of in the following terminal: GSM mobile handset, CDMA mobile phone, PHS PHS mobile phone, perhaps 3G mobiles such as WCDMA, CDMA2000, TD-SCDMA, new wireless communication technology terminals such as AIE, LTE, B3G or 4G, or the bimodulus or the multimode terminal that adopt above multiple technologies to make up; Perhaps has above terminal module as GPS in-vehicle navigation apparatus of communication module etc.; The perhaps terminal of wireless access such as WLAN, WiMAX.
67., it is characterized in that described user terminal is if wireless communication terminal further has station-keeping ability as the system of claim 44-50 or 66 described in each.
68. the system described in claim 44 is characterized in that:
Described user management and information collection unit are used to receive the routing request from user terminal;
Described service management and performance element are used for:
(1) obtains real-time the road unit section average speed and the magnitude of traffic flow;
(2) average speed and the magnitude of traffic flow of road unit section on the following a plurality of time points of prediction;
(3) according to the routing request and the restrictive condition of user terminal, just select many path candidates;
(4), calculate the output routing result respectively at many path candidates according to constraint condition.
69. the system described in claim 68 is characterized in that, described constraint condition utilizes following arbitrary mode to obtain:
(1) user's input;
(2) user default;
(3) system default;
(4) with the combination of upper type;
70., it is characterized in that described constraint condition is at least a kind of in the following condition as the system of claim 68-69 described in each:
(1) path is the shortest;
(2) time is the shortest;
(3) oil consumption is minimum;
(4) most economical;
(5) the safest;
(6) combination of above condition.
71., it is characterized in that minimum if constraint condition comprises oil consumption, then the routing of service management and performance element is calculated and will be comprised and utilize following arbitrary data as the system of claim 68-70 described in each:
(1) model data of user terminal correspondence;
(2) data such as oil consumption parameter under the various states;
(3) combination of above data.
72., it is characterized in that most economical if constraint condition comprises, then the routing of service management and performance element is calculated and will be comprised and utilize following arbitrary data as the system of claim 68-70 described in each:
(1) model data of user terminal correspondence;
(2) data such as oil consumption parameter under the various states;
(3) pay imformation of road or bridge;
(4) combination of above data.
73., it is characterized in that the safest if constraint condition comprises, then the routing of service management and performance element is calculated and will be comprised and utilize following arbitrary data as the system of claim 68-70 described in each:
(1) weather conditions;
(2) contingency occurrence probability and the historical data of each road unit section;
(3) contingency occurrence probability under different time sections and the different weather state etc.;
(4) combination of above data.
74. the system described in claim 68 is characterized in that, the restrictive condition of using in the described primary election path candidate step obtains by following arbitrary mode:
(1) user's input;
(2) user default;
(3) system default;
(4) with the combination of upper type;
75., it is characterized in that described restrictive condition is following arbitrary condition as the system of claim 68 or 74 described in each:
(1) user specifies the place or the road of necessary process;
(2) user specifies place or the road that must walk around;
(3) the default place or the road that can not pass through;
(4) highway section that is closed;
(5) the traffic control regulation that must observe;
(6) combination of above condition.
76. the system described in claim 68 is characterized in that, the routing result's of the sharp performance element output of service management content be following any:
(1) only comprises the optimal path of selecting according to constraint condition;
(2) comprise according to the tactic successively mulitpath of constraint condition or whole path candidate, give the user and further judge and choice;
(3) comprise optional several various boundary conditions or constraint condition combination optimal path down simultaneously, give the user and further judge and choice.
77., it is characterized in that the content that described routing result comprises or routing result's the way of output are set by following arbitrary mode as the system of claim 68 or 76 described in each:
(1) user's input;
(2) user default;
(3) system default;
(4) with the combination of upper type;
78. the system described in claim 44 is characterized in that:
Described user management and information collection unit are used to receive the request of traffic flow management;
Described service management and performance element are used for:
(1) obtains real-time the road unit section average speed and the magnitude of traffic flow;
(2) average speed and the magnitude of traffic flow of road unit section on the following a plurality of time points of prediction;
(3) according to the average speed of road unit section and the instantaneous value and the predicted value of the magnitude of traffic flow, carry out traffic flow management and control.
79. the system described in claim 78 is characterized in that, the request of described traffic flow management obtains by following arbitrary mode:
(1) imports by user terminal;
(2) import by system side;
(3) default trigger condition is by starting automatically in the system;
(4) with the combination of upper type.
80. as the system of claim 78-79 described in each, it is characterized in that, the request of described traffic flow management, at following arbitrary object:
(1) particular link unit section;
(2) specify the crossing;
(3) appointed area;
(4) combination of above object.
81., it is characterized in that traffic flow management that service management and performance element are performed and control comprise one of following mode at least as the described system of claim 78:
(1) by the traffic light control system adjustment traffic lights relevant with control;
(2) traffic information in the renewal road conditions indication mechanism is with the guiding user;
(3) send the road conditions information warning to user terminal with the guiding user;
(4) routing performance constraint condition is set, when routing is professional, avoids selecting congested road unit section.
(5) with the combination of upper type.
82. a traffic information management system LTMS comprises at least one computing machine or server, it is characterized in that, this system comprises:
(1) user management and information collection unit are used for user management, comprise that the user registers with the user to cancel;
(2) service management and performance element are used for service management, comprise that business is applied for and business is cancelled; Be used for transport information and generate, obtain real-time the road unit section average speed and the magnitude of traffic flow; Be used for according to the business application, carry out business such as traffic information inquiry, routing or traffic flow management.
83. the system described in claim 82 is characterized in that, the transport information that described service management and performance element are carried out generates or each business procedure, further utilizes following arbitrary data:
(1) average speed of road unit section and the historical data of the magnitude of traffic flow;
(2) average speed and the magnitude of traffic flow and the historical data thereof of the first section of relevant road;
(3) weather condition;
(4) week and holiday etc.;
(5) major event;
(6) control traffic message;
(7) combination of above data.
84. the system described in claim 82 is characterized in that, the content that the output result of arbitrary professional application that described service management and performance element are carried out comprises or the professional way of output of carrying out the output result are set by following arbitrary mode:
(1) user's input;
(2) user default;
(3) system default;
(4) with the combination of upper type.
CNA2006100273108A 2006-06-06 2006-06-06 A method and system for traffic information management Pending CN101086804A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CNA2006100273108A CN101086804A (en) 2006-06-06 2006-06-06 A method and system for traffic information management

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CNA2006100273108A CN101086804A (en) 2006-06-06 2006-06-06 A method and system for traffic information management

Publications (1)

Publication Number Publication Date
CN101086804A true CN101086804A (en) 2007-12-12

Family

ID=38937740

Family Applications (1)

Application Number Title Priority Date Filing Date
CNA2006100273108A Pending CN101086804A (en) 2006-06-06 2006-06-06 A method and system for traffic information management

Country Status (1)

Country Link
CN (1) CN101086804A (en)

Cited By (32)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101908276A (en) * 2010-07-29 2010-12-08 北京世纪高通科技有限公司 Method and device for evaluating traffic information
CN102332210A (en) * 2011-08-04 2012-01-25 东南大学 Method for extracting real-time urban road traffic flow data based on mobile phone positioning data
CN102497482A (en) * 2011-12-09 2012-06-13 北京易华录信息技术股份有限公司 Traffic information short message service system
CN102521981A (en) * 2011-12-20 2012-06-27 青岛海信网络科技股份有限公司 Computation method for traffic situation based on information-oriented middleware
CN102682595A (en) * 2012-05-17 2012-09-19 西安亿力通微波科技有限公司 System and method for guiding and commanding urban highway traffic jam based on mobile phone communication
CN102725722A (en) * 2009-11-04 2012-10-10 通腾科技股份有限公司 Navigation device & method
CN102087788B (en) * 2009-12-02 2012-12-19 上海济祥智能交通科技有限公司 Method for estimating traffic state parameter based on confidence of speed of float car
CN103065461A (en) * 2011-10-19 2013-04-24 北京千橡网景科技发展有限公司 Method and device used for collecting and obtaining traffic road condition information
CN103280104A (en) * 2013-05-08 2013-09-04 公安部道路交通安全研究中心 Traffic monitoring system
CN103593712A (en) * 2013-11-01 2014-02-19 中国电子科技集团公司第十五研究所 Resource optimization dispatching system and dispatching method
CN103680209A (en) * 2013-12-21 2014-03-26 曹乃承 Traffic information system and road condition collecting and issuing, rear-end-collision-prevention and accident judging method
CN103700055A (en) * 2012-09-27 2014-04-02 朱汝庆 Tourist vehicle scheduling monitoring method and system
CN105070058A (en) * 2015-08-11 2015-11-18 甘肃万维信息技术有限责任公司 Accurate traffic analysis method and system based on real-time traffic video
CN105096585A (en) * 2014-05-09 2015-11-25 陈时军 Traffic fine management method and apparatus based on floats
CN105118314A (en) * 2015-09-27 2015-12-02 电子科技大学中山学院 NTCIP-based instant messaging intelligent traffic guidance screen control system
CN105261226A (en) * 2015-11-23 2016-01-20 山东大学 Urban special region sparse distribution-type traffic guidance O2O (Online to Offline) warning device and working method
CN105306359A (en) * 2015-10-16 2016-02-03 哈尔滨工业大学 Low-voltage power line communication quasi-three-dimensional cobweb route hot backup and intelligent switching method
CN105374206A (en) * 2015-12-09 2016-03-02 敏驰信息科技(上海)有限公司 Active traffic demand management system and working method thereof
CN105869404A (en) * 2016-05-25 2016-08-17 成都联众智科技有限公司 Traffic jam pre-warning system
CN106056908A (en) * 2016-06-28 2016-10-26 联想(北京)有限公司 Information processing method and server
CN106643752A (en) * 2015-10-30 2017-05-10 中国移动通信集团公司 Navigation information generation method and system and terminal equipment
CN107045788A (en) * 2017-06-28 2017-08-15 北京数行健科技有限公司 Traffic Forecasting Methodology and device
CN107369318A (en) * 2016-05-11 2017-11-21 杭州海康威视数字技术股份有限公司 A kind of speed predicting method and device
CN107622660A (en) * 2016-07-14 2018-01-23 北京四维图新科技股份有限公司 A kind of road restricted driving time determines method and device
CN108010362A (en) * 2017-12-29 2018-05-08 百度在线网络技术(北京)有限公司 Method, apparatus, storage medium and the terminal device of driving road-condition information push
CN108932855A (en) * 2017-05-22 2018-12-04 阿里巴巴集团控股有限公司 Road traffic control system, method and electronic equipment
CN109255950A (en) * 2018-09-05 2019-01-22 苏州佳世达光电有限公司 Wagon flow predictor method, apparatus and system
CN109375616A (en) * 2012-11-02 2019-02-22 通腾科技股份有限公司 For generating the method and system for the visual field used in Senior Officer's auxiliary system (ADAS)
CN110120152A (en) * 2019-06-26 2019-08-13 杨晓艺 A kind of intelligent traffic administration system platform based on GIS and edge calculations
CN110782667A (en) * 2019-10-30 2020-02-11 北京百度网讯科技有限公司 Signal lamp time-sharing timing method and device, electronic equipment and storage medium
CN111243265A (en) * 2018-11-28 2020-06-05 北京嘀嘀无限科技发展有限公司 Method and system for determining regional traffic information
CN112002083A (en) * 2020-10-27 2020-11-27 恒银金融科技股份有限公司 Business blockage early warning system applied to bank self-service equipment

Cited By (43)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102725722A (en) * 2009-11-04 2012-10-10 通腾科技股份有限公司 Navigation device & method
US10060754B2 (en) 2009-11-04 2018-08-28 Tomtom Navigation B.V. Navigation device and method
CN102087788B (en) * 2009-12-02 2012-12-19 上海济祥智能交通科技有限公司 Method for estimating traffic state parameter based on confidence of speed of float car
CN101908276A (en) * 2010-07-29 2010-12-08 北京世纪高通科技有限公司 Method and device for evaluating traffic information
CN102332210A (en) * 2011-08-04 2012-01-25 东南大学 Method for extracting real-time urban road traffic flow data based on mobile phone positioning data
CN102332210B (en) * 2011-08-04 2013-09-18 东南大学 Method for extracting real-time urban road traffic flow data based on mobile phone positioning data
CN103065461A (en) * 2011-10-19 2013-04-24 北京千橡网景科技发展有限公司 Method and device used for collecting and obtaining traffic road condition information
CN102497482A (en) * 2011-12-09 2012-06-13 北京易华录信息技术股份有限公司 Traffic information short message service system
CN102521981A (en) * 2011-12-20 2012-06-27 青岛海信网络科技股份有限公司 Computation method for traffic situation based on information-oriented middleware
CN102682595A (en) * 2012-05-17 2012-09-19 西安亿力通微波科技有限公司 System and method for guiding and commanding urban highway traffic jam based on mobile phone communication
CN103700055A (en) * 2012-09-27 2014-04-02 朱汝庆 Tourist vehicle scheduling monitoring method and system
CN109375616A (en) * 2012-11-02 2019-02-22 通腾科技股份有限公司 For generating the method and system for the visual field used in Senior Officer's auxiliary system (ADAS)
CN109375616B (en) * 2012-11-02 2021-12-21 通腾导航技术股份有限公司 Method and system for generating a field of view for an advanced driver assistance system
CN103280104A (en) * 2013-05-08 2013-09-04 公安部道路交通安全研究中心 Traffic monitoring system
CN103593712A (en) * 2013-11-01 2014-02-19 中国电子科技集团公司第十五研究所 Resource optimization dispatching system and dispatching method
CN103593712B (en) * 2013-11-01 2017-07-21 中国电子科技集团公司第十五研究所 A kind of Resource Scheduling System and dispatching method
CN103680209A (en) * 2013-12-21 2014-03-26 曹乃承 Traffic information system and road condition collecting and issuing, rear-end-collision-prevention and accident judging method
CN105096585A (en) * 2014-05-09 2015-11-25 陈时军 Traffic fine management method and apparatus based on floats
CN105096585B (en) * 2014-05-09 2018-05-11 陈时军 A kind of traffic fine-grained management method and device based on buoy
CN105070058A (en) * 2015-08-11 2015-11-18 甘肃万维信息技术有限责任公司 Accurate traffic analysis method and system based on real-time traffic video
CN105118314A (en) * 2015-09-27 2015-12-02 电子科技大学中山学院 NTCIP-based instant messaging intelligent traffic guidance screen control system
CN105306359A (en) * 2015-10-16 2016-02-03 哈尔滨工业大学 Low-voltage power line communication quasi-three-dimensional cobweb route hot backup and intelligent switching method
CN106643752A (en) * 2015-10-30 2017-05-10 中国移动通信集团公司 Navigation information generation method and system and terminal equipment
CN105261226A (en) * 2015-11-23 2016-01-20 山东大学 Urban special region sparse distribution-type traffic guidance O2O (Online to Offline) warning device and working method
CN105261226B (en) * 2015-11-23 2018-05-29 山东大学 A kind of different domain sparse distribution formula traffic guidance O2O alarming devices in city and method of work
CN105374206A (en) * 2015-12-09 2016-03-02 敏驰信息科技(上海)有限公司 Active traffic demand management system and working method thereof
CN107369318A (en) * 2016-05-11 2017-11-21 杭州海康威视数字技术股份有限公司 A kind of speed predicting method and device
US10872525B2 (en) 2016-05-11 2020-12-22 Hangzhou Hikvision Digital Technology Co., Ltd. Speed prediction method and apparatus
CN105869404A (en) * 2016-05-25 2016-08-17 成都联众智科技有限公司 Traffic jam pre-warning system
CN106056908A (en) * 2016-06-28 2016-10-26 联想(北京)有限公司 Information processing method and server
CN107622660A (en) * 2016-07-14 2018-01-23 北京四维图新科技股份有限公司 A kind of road restricted driving time determines method and device
CN108932855A (en) * 2017-05-22 2018-12-04 阿里巴巴集团控股有限公司 Road traffic control system, method and electronic equipment
CN107045788A (en) * 2017-06-28 2017-08-15 北京数行健科技有限公司 Traffic Forecasting Methodology and device
CN108010362A (en) * 2017-12-29 2018-05-08 百度在线网络技术(北京)有限公司 Method, apparatus, storage medium and the terminal device of driving road-condition information push
CN109255950A (en) * 2018-09-05 2019-01-22 苏州佳世达光电有限公司 Wagon flow predictor method, apparatus and system
CN111243265A (en) * 2018-11-28 2020-06-05 北京嘀嘀无限科技发展有限公司 Method and system for determining regional traffic information
US10896604B2 (en) 2018-11-28 2021-01-19 Beijing Didi Infinity Technology And Development Co., Ltd. Systems and methods for determining traffic information of a region
US11676485B2 (en) 2018-11-28 2023-06-13 Beijing Didi Infinity Technology And Development Co., Ltd. Systems and methods for determining traffic information of a region
CN110120152A (en) * 2019-06-26 2019-08-13 杨晓艺 A kind of intelligent traffic administration system platform based on GIS and edge calculations
US11527155B2 (en) 2019-10-30 2022-12-13 Apollo Intelligent Connectivity (Beijing) Technology Co., Ltd. Time-segmented signal timing method and apparatus for traffic light, electronic device and storage medium
CN110782667A (en) * 2019-10-30 2020-02-11 北京百度网讯科技有限公司 Signal lamp time-sharing timing method and device, electronic equipment and storage medium
CN112002083A (en) * 2020-10-27 2020-11-27 恒银金融科技股份有限公司 Business blockage early warning system applied to bank self-service equipment
CN112002083B (en) * 2020-10-27 2021-02-19 恒银金融科技股份有限公司 Business blockage early warning system applied to bank self-service equipment

Similar Documents

Publication Publication Date Title
CN101086804A (en) A method and system for traffic information management
CN106169243B (en) A kind of real-time road estimating system and method based on car networking
CN100463407C (en) Method and system for real-time dynamic traffic information collecting, handling, and issuing
CN1963394B (en) A dynamic intelligent navigation method
An et al. A survey of intelligent transportation systems
CN103325247B (en) Method and system for processing traffic information
CN100561540C (en) A kind of method for processing traffic road condition information based on vehicle mounted wireless sensor network
KR100385819B1 (en) Navigation information system, mobile unit for the navigation information system and method of providing navigation guidance data to the mobile units
CN102622877B (en) Bus arrival judging system and method by utilizing road condition information and running speed
US7672774B2 (en) Method and system for determining traffic information traffic profiles
CN101916509B (en) User self-help real-time traffic condition sharing method
CN107919013B (en) Get-on point processing method and server
CN103177561B (en) Method for generating bus real-time traffic status
CN101609605B (en) Intelligent traffic system and monitoring control method thereof
CN101483009B (en) Public transport pre-broadcasting system based on A-GPS and 3G networks
CN109118764A (en) A kind of car networking communication system based on ZigBee
CN101482419A (en) Vehicle dynamic navigation service system based on A-GPS and 3G network
CN106408984B (en) Urban traffic flow induction system based on Internet of things
CN102384748A (en) Driving characteristics detector and route search device
CN101308029A (en) Road network grid matching, road status messages and introduction route information acquisition method
CN101729167A (en) Method for processing traffic road condition information
CN102819950A (en) Carrying aid decision making system and method for traffic tool
KR20040086061A (en) Method for obtaining traffic information by using call data record of mobile
CN101128051A (en) Update method of mobile object location based on traffic network and GPS
GU et al. Monitoring dispatch information system of trucks and shovels in an open pit based on GIS/GPS/GPRS

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C02 Deemed withdrawal of patent application after publication (patent law 2001)
WD01 Invention patent application deemed withdrawn after publication

Open date: 20071212