CN104217588A - Method, server and system for acquiring real-time traffic information - Google Patents

Method, server and system for acquiring real-time traffic information Download PDF

Info

Publication number
CN104217588A
CN104217588A CN201310213905.2A CN201310213905A CN104217588A CN 104217588 A CN104217588 A CN 104217588A CN 201310213905 A CN201310213905 A CN 201310213905A CN 104217588 A CN104217588 A CN 104217588A
Authority
CN
China
Prior art keywords
information
real
intelligent terminal
mobile intelligent
time
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.)
Granted
Application number
CN201310213905.2A
Other languages
Chinese (zh)
Other versions
CN104217588B (en
Inventor
张伟伟
陈耀伟
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 CN201310213905.2A priority Critical patent/CN104217588B/en
Publication of CN104217588A publication Critical patent/CN104217588A/en
Application granted granted Critical
Publication of CN104217588B publication Critical patent/CN104217588B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Landscapes

  • Traffic Control Systems (AREA)

Abstract

The invention discloses a method, a server and a system for acquiring real-time traffic information. The method is applied to the server. The system further comprises mobile intelligent terminals and floating cars. The method includes steps of receiving and storing real-time information transmitted by the mobile intelligent terminals on roads and real-time information transmitted by the floating cars which run on the roads; judging whether the real-time information transmitted by the floating cars is available on road sections or not for each piece of stored real-time information of the corresponding mobile intelligent terminal according to preliminarily stored road information data; acquiring and storing real-time traffic information of the road sections according to the real-time information transmitted by the floating cars if the real-time information transmitted by the floating cars is available on the road sections; acquiring and storing real-time traffic information of the road sections according to the stored real-time information transmitted by the various mobile intelligent terminals on the road sections if the real-time information transmitted by the floating cars is unavailable on the road sections. The floating cars are located on the road sections. The method, the server and the system have the advantage that the real-time performance and the accuracy of the traffic information can be taken into consideration by the aid of the method, the server and the system.

Description

A kind of Real-time Traffic Information acquisition methods, server and system
Technical field
The present invention relates to intelligent transport technology, particularly a kind of Real-time Traffic Information acquisition methods, server and system.
Background technology
Along with increasing of city vehicle, intelligent transportation needs more to become more meticulous.Make intelligent transportation can carry out real-time monitoring to urban transportation, wherein most basic is information in Real-time Obtaining road traffic, and the interpretation and application for upper layer application provides the Data support of fundamental sum key.
At present, the method obtaining Real-time Traffic Information has two kinds of comparatively maturations.The method of the first maturation is fixed collection, and survey the equipment such as device, camera, ultrasonic detector by geomagnetism detecting device, toroid winding, microwave inspection radar, this kind of method can detect by the vehicle information to road section from front or side.
The shortcoming of this kind of method only can obtain section information, can not obtain the complete information of road segment segment, and the information obtained easily is interfered.This method, because the human and material resources dropped into are all comparatively large, result in coverage rate lower.
Another kind of comparatively ripe method is Floating Car collection.Floating Car typically refers to be had GPS and Wireless Telecom Equipment and is exclusively used in the vehicle obtaining and implement transport information.The Floating Car travelled is regularly by the positional information that collects and movable information, comprise: the data such as time of gps data, direction, acceleration and correspondence, the server of network side is sent to by Wireless Telecom Equipment, server by with map data matching, obtain Floating Car through Real-time Traffic Informations such as the average overall travel speed of road and the running time on this road.The method cost is lower, and coverage rate also increases.But this kind of method also has shortcoming: gather frequency frequency not high enough, and do not accomplish that each section has Floating Car to occur, cause traffic information collection not prompt enough all always.
In order to avoid the shortcoming of above-mentioned two kinds of methods, newly occur utilizing mobile intelligent terminal to obtain Real-time Traffic Information.Number of patent application is 201210226808.2, and the application for a patent for invention file that name is called " a kind of real-time traffic condition acquisition method based on mobile intelligent terminal " discloses the information collecting method obtaining real-time traffic based on mobile intelligent terminal.In the method, first mobile intelligent terminal identifies traffic environment according to sensor information, then carries out real-time follow-up in conjunction with transportation database to drive route; Calculate journey time according to drive route tracking results again and real-time road condition information is uploaded onto the server; Server is analyzed the magnanimity real-time road condition information received, get rid of repeating data, result is stored in road condition data storehouse, and utilize the road condition data in road condition data storehouse, use compressed sensing technology to carry out real-time road estimation to the section that minority lacks uploading data, complete the collection to whole urban traffic network real-time road.
The method can utilize mobile intelligent terminal to gather real-time road condition information, and then obtains the road condition data of magnanimity.There is the features such as cost is low, precision is high, data volume is large, real-time, the network coverage is high, extensibility is strong.But due to mobile intelligent terminal opposing open, and mobile intelligent terminal carrier mode of transportation is not only various but also changeable, comparatively speaking, Real-time Traffic Information is obtained based on mobile intelligent terminal merely accurate not as the transport information obtained based on Floating Car.
Summary of the invention
In view of this, the object of the embodiment of the present invention is to provide a kind of Real-time Traffic Information acquisition methods, server and system, takes into account real-time and the accuracy of transport information.
For achieving the above object, the embodiment of the invention discloses a kind of Real-time Traffic Information acquisition methods, the method is applied to the server in Real-time Traffic Information acquisition system, and this Real-time Traffic Information obtains system and also comprises mobile intelligent terminal and Floating Car; The method comprising the steps of:
Receive the real-time information of the mobile intelligent terminal be on road and the Floating Car travelled on road transmission and store;
For the real-time information of the mobile intelligent terminal of each storage, according to the road information data prestored, judge the real-time information whether its section, place has Floating Car to send;
During the real-time information sent when there being Floating Car, according to the real-time information that described Floating Car sends, obtaining the Real-time Traffic Information in this section and storing;
During the real-time information sent when not having Floating Car, according to the real-time information that each mobile intelligent terminal on this section stored sends, obtaining the Real-time Traffic Information in this section and storing.
Preferably, the real-time information that described mobile intelligent terminal sends comprises: positional information and movable information; The real-time information that described Floating Car sends comprises positional information and driving information;
The real-time information of the described mobile intelligent terminal for each storage, according to the road information data prestored, judges to comprise the real-time information whether its section, place has Floating Car to send:
By the positional information of the mobile intelligent terminal of each storage and movable information and the road information data match that prestores, determine the road information in this section, mobile intelligent terminal place; The real-time information whether having this section is searched from the real-time information that the Floating Car stored sends.
Preferably, the real-time information that on described this section according to storing, each mobile intelligent terminal sends, obtains the Real-time Traffic Information in this section, comprising:
According to the positional information of each mobile intelligent terminal, movable information and road information, judge whether that mobile intelligent terminal is positioned on motor vehicle, and obtained the average movement velocity of each mobile intelligent terminal be positioned on motor vehicle;
According to the average movement velocity of each mobile intelligent terminal be positioned on motor vehicle, be defined as the Real-time Traffic Information in this section.
Preferably, when the real-time information that the real-time information that existing Floating Car sends also has mobile intelligent terminal to send, further each is sent to the mobile intelligent terminal of real-time information, according to positional information and movable information, obtain average movement velocity, again according to the average movement velocity of each mobile intelligent terminal, its mode of transportation is demarcated to each mobile intelligent terminal;
During the real-time information sent when not having Floating Car, according to the positional information of mobile intelligent terminal, movable information and road information, judge whether that mobile intelligent terminal is positioned on motor vehicle, and obtained the average movement velocity of each mobile intelligent terminal be positioned on motor vehicle; Again according to the average movement velocity of each mobile intelligent terminal with whether in the given time by demarcation mode of transportation, determine the Real-time Traffic Information in this section.
Preferably, the method receives the terminal iidentification that mobile intelligent terminal sends further; The real-time information that described Floating Car sends comprises positional information and driving information;
The described average movement velocity according to each mobile intelligent terminal, its mode of transportation is demarcated to each mobile intelligent terminal and comprises:
The positional information sent according to Floating Car and driving information, obtain the average overall travel speed of Floating Car;
Judge that whether the average movement velocity of mobile intelligent terminal is consistent with the average overall travel speed of Floating Car in same section, if inconsistent, then the mode of transportation of this mobile intelligent terminal is demarcated as bicycle mode; If consistent, then judge that whether the positional information of this mobile intelligent terminal is consistent with the positional information of Floating Car further, if positional information is inconsistent, then the mode of transportation of this mobile intelligent terminal is demarcated as self driving mode, if positional information is consistent, then the mode of transportation of this mobile intelligent terminal is demarcated as public transport mode;
By the terminal iidentification of each mobile intelligent terminal and the mode of transportation of its demarcation and nominal time corresponding stored.
Preferably, the described average movement velocity according to each mobile intelligent terminal and whether demarcated mode of transportation and determine the Real-time Traffic Information in this section in the given time, comprising:
The real-time information of multiple mobile intelligent terminals that merge bit confidence manner of breathing is same;
When the real-time information after merging is data, then according to the average movement velocity merged in rear data, determine the Real-time Traffic Information in this section;
When the data after merging are the data of multiple mobile intelligent terminal, and the average movement velocity of each mobile intelligent terminal is close, then according to close average movement velocity, determine the Real-time Traffic Information in this section; Described average movement velocity is close to difference between each average movement velocity in preset range;
When the data after merging are the data of multiple mobile intelligent terminal, and the average movement velocity of each mobile intelligent terminal is kept off, and have mobile intelligent terminal in the given time by demarcation mode of transportation, then according to the average movement velocity of mobile intelligent terminal being demarcated as self driving mode or public transport mode in the schedule time, determine the Real-time Traffic Information in this section;
When the data after merging are the data of multiple mobile intelligent terminal, and the average movement velocity of each mobile intelligent terminal is kept off, and there is no mobile intelligent terminal in the given time by demarcation mode of transportation, then carry out cluster according to the average movement velocity of mobile intelligent terminal, according to the average movement velocity in the class that data volume is maximum, determine the Real-time Traffic Information in this section.
The embodiment of the invention also discloses the server in a kind of Real-time Traffic Information acquisition system, comprise real-time information receiver module, mobile intelligent terminal data judge module and traffic information acquisition module;
Described receiver module, receives the real-time information of the mobile intelligent terminal be on road and the Floating Car travelled on road transmission and stores;
Described mobile intelligent terminal data judge module, for the real-time information of the mobile intelligent terminal of each storage, according to the road information data prestored, judges the real-time information whether its section, place has Floating Car to send;
Described traffic information acquisition module, comprises the first transport information and obtains submodule and the second transport information acquisition submodule;
Described first transport information obtains submodule, during the real-time information sent when there being Floating Car, according to the real-time information that described Floating Car sends, obtaining the Real-time Traffic Information in this section and storing;
Described second transport information obtains submodule, during the real-time information sent when not having Floating Car, according to the real-time information that each mobile intelligent terminal on this section stored sends, obtaining the Real-time Traffic Information in this section and storing.
Preferably, this server also comprises mobile intelligent terminal database, floating car data storehouse, road information database and traffic information database;
The real-time information that described mobile intelligent terminal database purchase receives from mobile intelligent terminal, this real-time information comprises positional information and movable information;
The real-time information that described floating car data library storage receives from Floating Car, this real-time information comprises positional information and driving information;
Described traffic information database stores the Real-time Traffic Information that the first transport information obtains submodule and the acquisition of the second transport information acquisition submodule;
Described mobile intelligent terminal data judge module, by the data match in the positional information of the mobile intelligent terminal of each storage and movable information and road information database, determines the road information in this section, mobile intelligent terminal place; The real-time information whether having this section is searched from floating car data storehouse.
Preferably, described second transport information acquisition submodule comprises: average movement velocity obtains submodule and Real-time Traffic Information determination module;
Described average velocity obtains submodule, according to the positional information of mobile intelligent terminal, movable information and road information, has judged whether that mobile intelligent terminal is positioned on motor vehicle, and has obtained the average movement velocity of each mobile intelligent terminal be positioned on motor vehicle;
Described Real-time Traffic Information determination module, according to the average movement velocity of each mobile intelligent terminal be positioned on motor vehicle, determines the Real-time Traffic Information in this section.
Preferably, described first transport information obtains submodule, when the real-time information that the real-time information that existing Floating Car sends also has mobile intelligent terminal to send, further each is sent to the mobile intelligent terminal of real-time information, according to positional information and movable information, obtain average movement velocity, then according to the average movement velocity of each mobile intelligent terminal, its mode of transportation is demarcated to each mobile intelligent terminal;
Described second transport information obtains submodule, during the real-time information sent when not having Floating Car, according to the positional information of mobile intelligent terminal, movable information and road information, judge whether that mobile intelligent terminal is positioned on motor vehicle, and obtained the average movement velocity of each mobile intelligent terminal be positioned on motor vehicle; Again according to the average movement velocity of each mobile intelligent terminal with whether in the given time by demarcation mode of transportation, determine the Real-time Traffic Information in this section.
The embodiment of the invention also discloses a kind of Real-time Traffic Information and obtain system, comprise mobile intelligent terminal, Floating Car and above-mentioned arbitrary server;
Described mobile intelligent terminal comprises first information acquisition module, judge module and the first data transmission blocks, described first information acquisition module Real-time Collection positional information and movable information; Described judge module, according to the positional information gathered and the road information database self stored, judges whether self is on road; When being on road, described first data transmission blocks sends the real-time information collected to server;
Described Floating Car comprises the second information acquisition module and the second data transmission blocks, when road travels, and described second information acquisition module Real-time Collection positional information and driving information; Second data transmission blocks sends the real-time information collected to server.
As seen from the above technical solutions, embodiments provide a kind of Real-time Traffic Information acquisition methods, server and system, this server combines the real-time information of mobile intelligent terminal transmission and the real-time information of Floating Car transmission, during the real-time information sent there being Floating Car, Real-time Traffic Information is determined according to the information that Floating Car sends, during the real-time information sent not having Floating Car, according to the real time data that mobile intelligent terminal sends, obtain the average movement velocity of the mobile intelligent terminal be positioned on motor vehicle, thus determine Real-time Traffic Information.Hinge structure only adopts Floating Car to obtain the mode of Real-time Traffic Information, improves real-time, relatively only adopts mobile intelligent terminal to obtain the mode of Real-time Traffic Information, improves accuracy.
In the preferred embodiment, by the average overall travel speed according to same section Floating Car, the mode of transportation of mobile intelligent terminal is demarcated, when the information determination Real-time Traffic Information according to mobile intelligent terminal, not only consider its average movement velocity, also contemplate the mode of transportation that it once marked, further increase the accuracy of transport information.
Certainly, arbitrary product of the present invention is implemented or method must not necessarily need to reach above-described all advantages simultaneously.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
Fig. 1 is the process flow diagram of a kind of Real-time Traffic Information acquisition methods of the embodiment of the present invention;
Fig. 2 be embodiment illustrated in fig. 1 in, mobile intelligent terminal sends the process flow diagram of real-time information;
Fig. 3 is the process flow diagram of the another kind of Real-time Traffic Information method of the embodiment of the present invention;
Fig. 4 is the structural representation of a kind of Real-time Traffic Information acquisition system of the embodiment of the present invention;
Fig. 5 is the structural representation of middle server embodiment illustrated in fig. 4;
Fig. 6 is the structural representation of middle mobile intelligent terminal embodiment illustrated in fig. 4;
Fig. 7 is the structural representation of middle Floating Car embodiment illustrated in fig. 4
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, be clearly and completely described the technical scheme in the embodiment of the present invention, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
The embodiment of the invention discloses a kind of Real-time Traffic Information acquisition methods and system, the technology utilizing mobile intelligent terminal to obtain Real-time Traffic Information is combined with the technology utilizing Floating Car to obtain Real-time Traffic Information, the real-time and accuracy that obtain transport information can be taken into account.
First, a kind of Real-time Traffic Information acquisition methods of the embodiment of the present invention is described in detail.
The present embodiment is applied to the server in Real-time Traffic Information acquisition system, and this Real-time Traffic Information obtains system and also comprises mobile intelligent terminal and Floating Car; The method, see Fig. 1, comprises step:
Step 101, is received in the Floating Car that road travels and the real-time information being in the mobile intelligent terminal transmission on road.
Same as the prior art, mobile intelligent terminal in the present embodiment embedded in GPS, accelerometer, direction sensor and communication module, its real-time information sent to server comprises: positional information, as GPS information, movable information, as time, direction of motion, acceleration.Meanwhile, mobile intelligent terminal can by the identification information of self, such as, can be also that IMSI sends to server.
Wherein, place road information is the road information database of mobile intelligent terminal according to self, and movable information obtains.
Same as the prior art, the Floating Car in the present embodiment also has GPS and Wireless Telecom Equipment, and its real-time information sent to server comprises: positional information, as GPS information, driving information, as time, instantaneous velocity, travel direction.Meanwhile, the identification information of self also can be sent to server by Floating Car, and server distinguishes the real-time information of each Floating Car transmission according to the identification information of Floating Car.
Step 102, for the real-time information of the mobile intelligent terminal of each storage, according to the road information data prestored, judges the real-time information whether its section, place has Floating Car to send.
In the present embodiment, the real-time information that described mobile intelligent terminal sends comprises: positional information and movable information; The real-time information that described Floating Car sends comprises positional information and driving information;
Particularly, by the positional information of the mobile intelligent terminal of each storage and movable information and the road information data match prestored, the road information in this section, mobile intelligent terminal place can be determined in this step; The real-time information whether having this section is searched from the real-time information that the Floating Car stored sends.
Step 103, during the real-time information sent when there being Floating Car, according to the real-time information that described Floating Car sends, obtaining the Real-time Traffic Information in this section and storing.
This step is same as the prior art, by positional information that Floating Car is sent and driving information and map data matching, obtain Floating Car average overall travel speed through section, as Real-time Traffic Information.Certainly, in practical application, other Real-time Traffic Informations such as the running time on this road can also be calculated by average overall travel speed.
It should be noted that, in order to ensure the real-time of the transport information obtained further, when performing step 102 and step 103, the real-time information chosen should with current time consistency.Such as: current be the morning 8:30 divide, then the mobile intelligent terminal chosen and/or the real-time information of Floating Car, should in current time former second, even closer to real-time information.
Step 104, during the real-time information sent when not having Floating Car, according to the real-time information that each mobile intelligent terminal on this section stored sends, obtaining the Real-time Traffic Information in this section and storing.
In this step, also can mode conventionally, the real-time information utilizing each mobile intelligent terminal to send, calculate mobile intelligent terminal through the average movement velocity of road, as Real-time Traffic Information.
In practical application, the real-time information that Floating Car sends and the real-time information that mobile intelligent terminal sends are stored in each self-corresponding floating car data storehouse or mobile intelligent terminal database.
In the present embodiment, same as the prior art, mobile intelligent terminal timing performs real-time information collection flow process, and obtain real-time information, this flow process as shown in Figure 2, comprises the steps:
Step 201, obtains the positional information of this terminal.
This step is exactly the GPS utilizing this terminal to embed, and obtains the GPS information of this terminal.
Step 202, judges whether in the road this terminal, if so, then performs step 203, otherwise terminates this data acquisition.
In this step, same as the prior art, terminal, according to the GPS information obtained and the road information database of self, obtains road information, determines whether in the road self.
Step 203, obtains the movable information of this terminal.
In this step, same as the prior art, acceleration information, the utilization orientation sensor acquisition direction of motion information of motion is obtained by the accelerometer in terminal.In this step, the mark IMSI of terminal can also be obtained further.
Step 204, sends to server by the positional information of this terminal obtained, movable information.
In this step, the IMSI of this terminal can be sent to server simultaneously.
In the present embodiment, it is same as the prior art that Floating Car timing performs real-time information collection flow process, repeats no more here.
Then, the another kind of Real-time Traffic Information acquisition methods of the embodiment of the present invention is described in detail.
The present embodiment is applied to the server in Real-time Traffic Information acquisition system, and this Real-time Traffic Information obtains system and also comprises mobile intelligent terminal and Floating Car; The method, see Fig. 3, comprises step:
Step 301, is received in the Floating Car that road travels and the real-time information being in the mobile intelligent terminal transmission on road.
This step is identical with step 101 embodiment illustrated in fig. 1, no longer repeats here.
Step 302, for the data that each mobile intelligent terminal sends, determines its section, place.
In this step, server by the positional information of each mobile intelligent terminal in mobile intelligent terminal database and movable information and the road information data match prestored, can determine the road information in this section, mobile intelligent terminal place.
Wherein, the road information data prestored can be stored in road information database.
Step 303, judges the real-time information whether this section has Floating Car and send, if had, then performs step 304, otherwise performs step 311.
In this step, in the data that can store in floating car data storehouse, search the real-time information whether having this section.
Same, in order to ensure the real-time of the transport information obtained further, in this step, the real-time information that Floating Car sends should with current time consistency.
Step 304, according to the real-time information that described Floating Car sends, obtains Real-time Traffic Information and stores, and calculating the average movement velocity of mobile intelligent terminal.
In this step, according to the real-time information that Floating Car sends, the method that acquisition Real-time Traffic Information also stores is identical with the step 103 shown in Fig. 1.In this step, the Real-time Traffic Information of acquisition is the average overall travel speed of Floating Car.This average overall travel speed is stored in traffic information database.
In this step, the method calculating the average movement velocity of mobile intelligent terminal can be: according in predetermined amount of time, the GPS information that mobile intelligent terminal sends, calculate during this period of time, the alternate position spike of mobile intelligent terminal, the distance of namely moving, by distance divided by the time, calculates the average movement velocity of mobile intelligent terminal.
Step 305, judges that whether the average movement velocity of mobile intelligent terminal is consistent with the average overall travel speed of Floating Car, if so, then performs step 306; Otherwise perform step 310.
In this step, judge that whether the average movement velocity of mobile intelligent terminal is consistent with the average overall travel speed of Floating Car, a less speed difference can be preset, such as: speed difference is not more than 1% of Floating Car speed.As long as before the average overall travel speed of the average movement velocity of mobile intelligent terminal and Floating Car within the scope of this speed difference, just judge that two speed are consistent, exceed this speed difference scope, then judge that speed is inconsistent.
Step 306, determines that mobile intelligent terminal is positioned on motor vehicle.
Step 307, judges that whether the positional information of mobile intelligent terminal is consistent with the positional information of Floating Car, if unanimously, then performs step 308; Otherwise perform step 309.
In this step, judge that whether the positional information of mobile intelligent terminal is consistent with the positional information of Floating Car, the GPS information that the GPS information that can directly be sent by mobile intelligent terminal and Floating Car send compares, if identical, then positional information is consistent, otherwise positional information is inconsistent.
Step 308, demarcates mobile intelligent terminal and is public transport mode and after storage, terminates this flow process.
Usual Floating Car can be realized by motorbus or other public transports, therefore when average movement velocity and the positional information of mobile intelligent terminal and the average overall travel speed of Floating Car and positional information all consistent time, can determine that this mobile intelligent terminal is public transport mode.
In the present embodiment, mobile intelligent terminal also have sent terminal iidentification IMSI to server, and this step can by the mode of transportation corresponding stored of the time of terminal iidentification IMSI, demarcation and demarcation.
Step 309, demarcates mobile intelligent terminal and is self driving mode and after storage, terminates this flow process.
Storage means in this step is identical with the storage means of step 308, no longer repeats here.
Step 310, demarcates mobile intelligent terminal and is bicycle mode and after storage, terminates this flow process.
Storage means in this step is identical with the storage means of step 308, no longer repeats here.
It should be noted that above-mentioned steps 304 ~ 310 carries out the process of mode of transportation demarcation exactly to each mobile intelligent terminal.
Step 311, judges whether the real-time information of the mobile intelligent terminal transmission be positioned on motor vehicle, if had, then performs step 312; Otherwise terminate this flow process.
Equally, will ensure the real-time of transport information further, in this step, the real-time information of the mobile intelligent terminal chosen during judgement should with current time consistency.
In this step, can method conventionally, according to GPS information, direction of motion, the acceleration of motion and the road information in step 302 acquisition that mobile intelligent terminal sends, the mode of motion of mobile intelligent terminal is classified, thus determines whether this mobile intelligent terminal is positioned on road.In addition, the method for above-mentioned steps 304 in this step, can also be adopted, calculate the average movement velocity of mobile intelligent terminal.
Have a variety of to the method prior art that the mode of motion of mobile intelligent terminal is classified, number of patent application such as can be adopted to be 201210226808.2, disclosed in the application for a patent for invention file that name is called " a kind of real-time traffic condition acquisition method based on mobile intelligent terminal ", method realizes, and can also determine according to average movement velocity.
Step 312, the real-time information of the mobile intelligent terminal transmission that merge bit confidence manner of breathing is same.
This step is exactly the real-time information of mobile intelligent terminal identical for GPS information be merged together.Due to the mobile intelligent terminal that GPS information is identical, usually show that these mobile intelligent terminals are arranged in the same vehicles.So when merging, only need the real-time information of one of them mobile intelligent terminal of Stochastic choice.
Step 313, judges the real-time information whether only having a mobile intelligent terminal to send after merging, and if so, then performs step 314; Otherwise perform step 315.
In actual applications, merge the real-time information that may have the different mobile intelligent terminal of multiple GPS information, also may only have one.Such as: in monitored section, now only have a motorbus, mobile intelligent terminal is all positioned on this motorbus, in this case, and the data after only having to merge.If be arranged in different motorbuses from multiple mobile intelligent terminal, after data merge, data after multiple merging may be had.
Step 314, according to the average movement velocity merged in rear data, after determining Real-time Traffic Information, terminates this flow process.
In this step, according to the real-time information of the mobile intelligent terminal after merging, the average movement velocity of a mobile intelligent terminal can be recalculated, when also can utilize step 311, the average movement velocity of the mobile intelligent terminal of calculating.By the average movement velocity obtained, be defined as the Real-time Traffic Information in this section.
Step 315, judges that whether the speed of each mobile intelligent terminal is close, if so, then performs step 316, otherwise performs step 317.
In this step, judge that average movement velocity is close to and judge that difference between each average movement velocity is in preset range, this scope preset is smaller, such as: relative error be less than 1% or relative standard deviation be less than 1%.If in preset range, then close, otherwise keep off.
Step 316, according to close average movement velocity, after determining Real-time Traffic Information, terminates this flow process.
In this step, after each close average movement velocity can being sued for peace, then calculate mean value, this mean value is defined as the Real-time Traffic Information in this section.
Step 317, has judged whether that mobile intelligent terminal is marked as self driving mode in the given time, if had, then performs step 318; Otherwise perform step 319.
In this step, Preset Time can arranging by duration according to the usual motor vehicle in Distance geometry section in this section.In addition, can also according to every day this section peak and low ebb set of time multiple schedule time, select the schedule time according to the current time.Such as: in rush hour section, whether in 3 minutes, be demarcated as self driving mode; Within the low ebb time period, whether within 1 minute, be demarcated as self driving mode.Wherein, can judge whether to be marked as self driving mode in the given time according to the mark time of record during mark and current time.
Step 318, according to the average movement velocity of the mobile intelligent terminal of self driving mode, after determining Real-time Traffic Information, terminates this flow process.
In this step, will the average movement velocity of the mobile intelligent terminal of self driving mode be demarcated as exactly, be defined as the Real-time Traffic Information in this section.
Here, can be the real-time information according to mobile intelligent terminal, recalculate the average movement velocity of a mobile intelligent terminal, when also can utilize step 311 or step 314, the average movement velocity of the mobile intelligent terminal of calculating.
Step 319, has judged whether that mobile intelligent terminal is marked as public transport mode in the given time, if had, then performs step 320, otherwise performs step 321.
The schedule time in this step is identical with the schedule time of step 317, and method to set up and determination methods are also identical.
Step 320, according to the average movement velocity of the mobile intelligent terminal of public transport mode, after determining Real-time Traffic Information, terminates this flow process.
This step is exactly the average movement velocity of the mobile intelligent terminal by being demarcated as public transport mode, is defined as the Real-time Traffic Information in this section.
Step 321, the average movement velocity according to mobile intelligent terminal carries out cluster, according to cluster result, after determining the Real-time Traffic Information in this section, terminates this flow process.
In this step, be exactly by the average movement velocity in maximum for data volume class, be defined as the Real-time Traffic Information in this section.
In actual applications, if wish simplify processes flow process, or time not high to the accuracy requirement of obtaining information, also can not demarcate the mode of transportation of mobile intelligent terminal.In this case, also just without the need to calculating the average movement velocity of mobile intelligent terminal in step 304, and when only having the real-time information of mobile intelligent terminal, just can only take steps 315 and/or the mode of step 321 to determine Real-time Traffic Information.
In the present embodiment, Floating Car can be the motorbus or special test carriage of specifying; Mobile intelligent terminal can be the handheld device that mobile phone, notebook computer, panel computer, navigating instrument etc. embedded in GPS, accelerometer, direction sensor and communication module.
A kind of Real-time Traffic Information that the embodiment of the present invention provides obtains system, as shown in Figure 4, comprises one or more mobile intelligent terminal 401, one or more Floating Car 402 and server 403.In Fig. 4, mobile intelligent terminal 401 and Floating Car 402, in the mode of radio communication, are communicated with server 403 by network.
In Fig. 4, the structure of server 403 as shown in Figure 5, comprising: real-time information receiver module 501, mobile intelligent terminal data judge module 504 and traffic information acquisition module 506.
Wherein, described receiver module 501, receives the real-time information of the mobile intelligent terminal be on road and the Floating Car travelled on road transmission and stores.
Described mobile intelligent terminal data judge module 504, for the real-time information of the mobile intelligent terminal of each storage, according to the road information data prestored, judges the real-time information whether its section, place has Floating Car to send.
Described traffic information acquisition module 506, comprises the first transport information and obtains submodule 507 and the second transport information acquisition submodule 508.Described first transport information obtains submodule 507, during the real-time information sent when there being Floating Car, according to the real-time information that described Floating Car sends, obtaining the Real-time Traffic Information in this section and storing; Described second transport information obtains submodule 508, during the real-time information sent when not having Floating Car, according to the real-time information that each mobile intelligent terminal on this section stored sends, obtaining the Real-time Traffic Information in this section and storing.
As shown in Figure 5, this server also comprises mobile intelligent terminal database 502, floating car data storehouse 503, road information database 505 and traffic information database 509.
Described mobile intelligent terminal database 502, store the real-time information received from mobile intelligent terminal, this real-time information comprises positional information and movable information; Its real-time information stored resolves rear forwarding by real-time information receiver module 501 pairs of data.
Described floating car data storehouse 503, store the real-time information received from Floating Car, this real-time information comprises positional information and driving information; Its real-time information stored also resolves rear forwarding by real-time information receiver module 501 pairs of data.
This is in real time in example, the data received is resolved to obtain Real-time Traffic Information with prior art in Floating Car mode identical with an analytic method obtained in Real-time Traffic Information by mobile intelligent terminal mode, repeats no more here.
Described road information database 505, stores the essential information of urban road, and whether as GPS, overpass etc., this transportation database is identical with the road information database of prior art.
Described traffic information database 509 stores the Real-time Traffic Information that the first transport information obtains submodule 507 and the acquisition of the second transport information acquisition submodule 508.
Mobile intelligent terminal data judge module 504 in the present embodiment, by the data match in the positional information of the mobile intelligent terminal of each storage and movable information and road information database 505, the road information in this section, mobile intelligent terminal place can be determined; The real-time information whether having this section is searched from floating car data storehouse 503.
In addition, the second transport information in the present embodiment obtains submodule 506 and can comprise: average movement velocity obtains submodule and Real-time Traffic Information determination module (not shown in Fig. 5); Described average velocity obtains submodule, according to the positional information of mobile intelligent terminal, road information and movable information, has judged whether that mobile intelligent terminal is positioned on motor vehicle, and has obtained the average movement velocity of each mobile intelligent terminal be positioned on motor vehicle; Described Real-time Traffic Information determination module, according to the average movement velocity of each mobile intelligent terminal be positioned on motor vehicle, determines the Real-time Traffic Information in this section.
In another embodiment, described first transport information obtains submodule 507, during the real-time information that the real-time information having Floating Car to send at once also has mobile intelligent terminal to send, further each is sent to the mobile intelligent terminal of real-time information, according to positional information and movable information, obtain average movement velocity, then according to the average movement velocity of each mobile intelligent terminal, its mode of transportation is demarcated to each mobile intelligent terminal.Corresponding, the second transport information in this embodiment obtains submodule 508, during the real-time information sent when not having Floating Car, according to the positional information of mobile intelligent terminal, movable information and road information, judge whether that mobile intelligent terminal is positioned on motor vehicle, and obtained the average movement velocity of each mobile intelligent terminal be positioned on motor vehicle; Again according to the average movement velocity of each mobile intelligent terminal with whether in the given time by demarcation mode of transportation, determine the Real-time Traffic Information in this section.
In the embodiment of the present invention, how server determines that the method for the Real-time Traffic Information in section can be identical with the method in aforementioned Real-time Traffic Information acquisition methods, no longer repeat specification here.
In Fig. 4, the structure of mobile intelligent terminal 401 as shown in Figure 6, comprising: first information acquisition module 601, judge module 602 and the first data transmission blocks 603.Described first information acquisition module 601 Real-time Collection positional information and movable information.Particularly, first information acquisition module 601 can be embedded by terminal GPS, accelerometer, direction sensor obtain positional information and movable information.
Described judge module 602, according to the positional information gathered and the road information database 604 self stored, judges whether self is on road.When being on road, described first data transmission blocks 603 sends the real-time information collected to server.In the present embodiment, first information acquisition module 601 can also obtain the terminal iidentification IMSI of this terminal, and this mark and real time data together send to server.
In the present embodiment, the road information database 604 in mobile intelligent terminal, stores the essential information of urban road, and whether as GPS, overpass etc., this transportation database is identical with the road information database of prior art.
In Fig. 4, the structure of Floating Car 401 as shown in Figure 7, comprising: the second information acquisition module 701 and the second data transmission blocks 702, when road travels, and described second information acquisition module 701 Real-time Collection positional information and driving information; Second data transmission blocks 702 sends the real-time information collected to server.In the present embodiment, the structure of Floating Car can be identical with prior art, no longer describes in detail here.
From above-mentioned specific embodiment, Real-time Traffic Information acquisition methods, server and system that the embodiment of the present invention provides, have employed and mobile intelligent terminal obtained the mode that transport information and Floating Car obtain transport information comprehensive and finally obtain real-time transport information, intelligent mobile terminal is utilized to obtain real-time information, and be sent to server, the transport information obtained with Floating Car on the server merges, and has taken into account real-time and the accuracy of obtaining information.
Each embodiment in this instructions all adopts relevant mode to describe, between each embodiment identical similar part mutually see, what each embodiment stressed is the difference with other embodiments.Especially, for system embodiment, because it is substantially similar to embodiment of the method, so description is fairly simple, relevant part illustrates see the part of embodiment of the method.
For convenience of description, describing above device is be divided into various module to describe respectively with function.Certainly, the function of each module can be realized in same or multiple software and/or hardware when implementing of the present invention.
As seen through the above description of the embodiments, those skilled in the art can be well understood to the mode that the present invention can add required general hardware platform by software and realizes.Based on such understanding, technical scheme of the present invention can embody with the form of software product the part that prior art contributes in essence in other words, this computer software product can be stored in storage medium, as ROM/RAM, magnetic disc, CD etc., comprising some instructions in order to make a computer equipment (can be personal computer, server, or the network equipment etc.) perform the method described in some part of each embodiment of the present invention or embodiment.
In addition, in this article, the such as relational terms of first and second grades and so on is only used for an entity or operation to separate with another entity or operational zone, and not necessarily requires or imply the relation that there is any this reality between these entities or operation or sequentially.And, term " comprises ", " comprising " or its any other variant are intended to contain comprising of nonexcludability, thus make to comprise the process of a series of key element, method, article or equipment and not only comprise those key elements, but also comprise other key elements clearly do not listed, or also comprise by the intrinsic key element of this process, method, article or equipment.When not more restrictions, the key element limited by statement " comprising ... ", and be not precluded within process, method, article or the equipment comprising described key element and also there is other identical element.
The foregoing is only preferred embodiment of the present invention, be not intended to limit protection scope of the present invention.All any amendments done within the spirit and principles in the present invention, equivalent replacement, improvement etc., be all included in protection scope of the present invention.

Claims (11)

1. a Real-time Traffic Information acquisition methods, is characterized in that: be applied to the server in Real-time Traffic Information acquisition system, and this Real-time Traffic Information obtains system and also comprises mobile intelligent terminal and Floating Car; The method comprising the steps of:
Receive the real-time information of the mobile intelligent terminal be on road and the Floating Car travelled on road transmission and store;
For the real-time information of the mobile intelligent terminal of each storage, according to the road information data prestored, judge the real-time information whether its section, place has Floating Car to send;
During the real-time information sent when there being Floating Car, according to the real-time information that described Floating Car sends, obtaining the Real-time Traffic Information in this section and storing;
During the real-time information sent when not having Floating Car, according to the real-time information that each mobile intelligent terminal on this section stored sends, obtaining the Real-time Traffic Information in this section and storing.
2. method according to claim 1, is characterized in that: the real-time information that described mobile intelligent terminal sends comprises: positional information and movable information; The real-time information that described Floating Car sends comprises positional information and driving information;
The real-time information of the described mobile intelligent terminal for each storage, according to the road information data prestored, judges to comprise the real-time information whether its section, place has Floating Car to send:
By the positional information of the mobile intelligent terminal of each storage and movable information and the road information data match that prestores, determine the road information in this section, mobile intelligent terminal place; The real-time information whether having this section is searched from the real-time information that the Floating Car stored sends.
3. method according to claim 2, is characterized in that:
The real-time information that on described this section according to storing, each mobile intelligent terminal sends, obtains the Real-time Traffic Information in this section, comprising:
According to the positional information of each mobile intelligent terminal, movable information and road information, judge whether that mobile intelligent terminal is positioned on motor vehicle, and obtained the average movement velocity of each mobile intelligent terminal be positioned on motor vehicle;
According to the average movement velocity of each mobile intelligent terminal be positioned on motor vehicle, be defined as the Real-time Traffic Information in this section.
4. method according to claim 2, is characterized in that:
When the real-time information that the real-time information that existing Floating Car sends also has mobile intelligent terminal to send, further each is sent to the mobile intelligent terminal of real-time information, according to positional information and movable information, obtain average movement velocity, again according to the average movement velocity of each mobile intelligent terminal, its mode of transportation is demarcated to each mobile intelligent terminal;
During the real-time information sent when not having Floating Car, according to the positional information of mobile intelligent terminal, movable information and road information, judge whether that mobile intelligent terminal is positioned on motor vehicle, and obtained the average movement velocity of each mobile intelligent terminal be positioned on motor vehicle; Again according to the average movement velocity of each mobile intelligent terminal with whether in the given time by demarcation mode of transportation, determine the Real-time Traffic Information in this section.
5. method according to claim 4, is characterized in that: the method receives the terminal iidentification that mobile intelligent terminal sends further; The real-time information that described Floating Car sends comprises positional information and driving information;
The described average movement velocity according to each mobile intelligent terminal, its mode of transportation is demarcated to each mobile intelligent terminal and comprises:
The positional information sent according to Floating Car and driving information, obtain the average overall travel speed of Floating Car;
Judge that whether the average movement velocity of mobile intelligent terminal is consistent with the average overall travel speed of Floating Car in same section, if inconsistent, then the mode of transportation of this mobile intelligent terminal is demarcated as bicycle mode; If consistent, then judge that whether the positional information of this mobile intelligent terminal is consistent with the positional information of Floating Car further, if positional information is inconsistent, then the mode of transportation of this mobile intelligent terminal is demarcated as self driving mode, if positional information is consistent, then the mode of transportation of this mobile intelligent terminal is demarcated as public transport mode;
By the terminal iidentification of each mobile intelligent terminal and the mode of transportation of its demarcation and nominal time corresponding stored.
6. method according to claim 5, is characterized in that: the described average movement velocity according to each mobile intelligent terminal and whether demarcated mode of transportation and determine the Real-time Traffic Information in this section in the given time, comprising:
The real-time information of multiple mobile intelligent terminals that merge bit confidence manner of breathing is same;
When the real-time information after merging is data, then according to the average movement velocity merged in rear data, determine the Real-time Traffic Information in this section;
When the data after merging are the data of multiple mobile intelligent terminal, and the average movement velocity of each mobile intelligent terminal is close, then according to close average movement velocity, determine the Real-time Traffic Information in this section; Described average movement velocity is close to difference between each average movement velocity in preset range;
When the data after merging are the data of multiple mobile intelligent terminal, and the average movement velocity of each mobile intelligent terminal is kept off, and have mobile intelligent terminal in the given time by demarcation mode of transportation, then according to the average movement velocity of mobile intelligent terminal being demarcated as self driving mode or public transport mode in the schedule time, determine the Real-time Traffic Information in this section;
When the data after merging are the data of multiple mobile intelligent terminal, and the average movement velocity of each mobile intelligent terminal is kept off, and there is no mobile intelligent terminal in the given time by demarcation mode of transportation, then carry out cluster according to the average movement velocity of mobile intelligent terminal, according to the average movement velocity in the class that data volume is maximum, determine the Real-time Traffic Information in this section.
7. the server in Real-time Traffic Information acquisition system, is characterized in that: comprise real-time information receiver module, mobile intelligent terminal data judge module and traffic information acquisition module;
Described receiver module, receives the real-time information of the mobile intelligent terminal be on road and the Floating Car travelled on road transmission and stores;
Described mobile intelligent terminal data judge module, for the real-time information of the mobile intelligent terminal of each storage, according to the road information data prestored, judges the real-time information whether its section, place has Floating Car to send;
Described traffic information acquisition module, comprises the first transport information and obtains submodule and the second transport information acquisition submodule;
Described first transport information obtains submodule, during the real-time information sent when there being Floating Car, according to the real-time information that described Floating Car sends, obtaining the Real-time Traffic Information in this section and storing;
Described second transport information obtains submodule, during the real-time information sent when not having Floating Car, according to the real-time information that each mobile intelligent terminal on this section stored sends, obtaining the Real-time Traffic Information in this section and storing.
8. server according to claim 7, is characterized in that: this server also comprises mobile intelligent terminal database, floating car data storehouse, road information database and traffic information database;
The real-time information that described mobile intelligent terminal database purchase receives from mobile intelligent terminal, this real-time information comprises positional information and movable information;
The real-time information that described floating car data library storage receives from Floating Car, this real-time information comprises positional information and driving information;
Described traffic information database stores the Real-time Traffic Information that the first transport information obtains submodule and the acquisition of the second transport information acquisition submodule;
Described mobile intelligent terminal data judge module, by the data match in the positional information of the mobile intelligent terminal of each storage and movable information and road information database, determines the road information in this section, mobile intelligent terminal place; The real-time information whether having this section is searched from floating car data storehouse.
9. server according to claim 8, is characterized in that: described second transport information obtains submodule and comprises: average movement velocity obtains submodule and Real-time Traffic Information determination module;
Described average velocity obtains submodule, according to the positional information of mobile intelligent terminal, movable information and road information, has judged whether that mobile intelligent terminal is positioned on motor vehicle, and has obtained the average movement velocity of each mobile intelligent terminal be positioned on motor vehicle;
Described Real-time Traffic Information determination module, according to the average movement velocity of each mobile intelligent terminal be positioned on motor vehicle, determines the Real-time Traffic Information in this section.
10. server according to claim 8, it is characterized in that: described first transport information obtains submodule, when the real-time information that the real-time information that existing Floating Car sends also has mobile intelligent terminal to send, further each is sent to the mobile intelligent terminal of real-time information, according to positional information and movable information, obtain average movement velocity, then according to the average movement velocity of each mobile intelligent terminal, its mode of transportation is demarcated to each mobile intelligent terminal;
Described second transport information obtains submodule, during the real-time information sent when not having Floating Car, according to the positional information of mobile intelligent terminal, movable information and road information, judge whether that mobile intelligent terminal is positioned on motor vehicle, and obtained the average movement velocity of each mobile intelligent terminal be positioned on motor vehicle; Again according to the average movement velocity of each mobile intelligent terminal with whether in the given time by demarcation mode of transportation, determine the Real-time Traffic Information in this section.
11. 1 kinds of Real-time Traffic Informations obtain system, it is characterized in that: comprise mobile intelligent terminal, Floating Car and the server described in any one of claim 7-10;
Described mobile intelligent terminal comprises first information acquisition module, judge module and the first data transmission blocks, described first information acquisition module Real-time Collection positional information and movable information; Described judge module, according to the positional information gathered and the road information database self stored, judges whether self is on road; When being on road, described first data transmission blocks sends the real-time information collected to server;
Described Floating Car comprises the second information acquisition module and the second data transmission blocks, when road travels, and described second information acquisition module Real-time Collection positional information and driving information; Second data transmission blocks sends the real-time information collected to server.
CN201310213905.2A 2013-05-31 2013-05-31 A kind of Real-time Traffic Information acquisition methods, server and system Expired - Fee Related CN104217588B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201310213905.2A CN104217588B (en) 2013-05-31 2013-05-31 A kind of Real-time Traffic Information acquisition methods, server and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201310213905.2A CN104217588B (en) 2013-05-31 2013-05-31 A kind of Real-time Traffic Information acquisition methods, server and system

Publications (2)

Publication Number Publication Date
CN104217588A true CN104217588A (en) 2014-12-17
CN104217588B CN104217588B (en) 2017-03-08

Family

ID=52099023

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201310213905.2A Expired - Fee Related CN104217588B (en) 2013-05-31 2013-05-31 A kind of Real-time Traffic Information acquisition methods, server and system

Country Status (1)

Country Link
CN (1) CN104217588B (en)

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106530703A (en) * 2016-11-25 2017-03-22 四川长虹电器股份有限公司 Intelligent terminal traffic condition acquisition system based on IOT
CN107146404A (en) * 2016-03-01 2017-09-08 香港生产力促进局 The information processing system and its method of a kind of real-time collecting and transmission traffic data
CN107241496A (en) * 2017-05-26 2017-10-10 宇龙计算机通信科技(深圳)有限公司 Mode switching method, mode-changeover device and mobile terminal
CN107564278A (en) * 2017-07-21 2018-01-09 重庆市市政设计研究院 A kind of Chongqing City road traffic operation monitoring system
CN107784835A (en) * 2016-08-30 2018-03-09 蓝色信号株式会社 Traffic behavior model prediction system and its Forecasting Methodology based on traffic data analyzing
CN108538054A (en) * 2018-05-17 2018-09-14 北京中交汇智数据有限公司 A kind of method and system obtaining traffic information based on mobile phone signaling data
CN108648453A (en) * 2018-05-15 2018-10-12 北京百益高科信息技术有限公司 A method of traffic trip data portrait is carried out based on mobile phone location fresh information
CN111159510A (en) * 2018-11-08 2020-05-15 奇酷互联网络科技(深圳)有限公司 Bus stop inquiry method based on intelligent terminal, intelligent terminal and device
CN112949946A (en) * 2021-04-20 2021-06-11 智道网联科技(北京)有限公司 Method and device for predicting real-time traffic road condition information and electronic equipment

Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6401027B1 (en) * 1999-03-19 2002-06-04 Wenking Corp. Remote road traffic data collection and intelligent vehicle highway system
WO2005098780A1 (en) * 2004-03-30 2005-10-20 S.C. M-Zone Srl Method of obtaining road traffic situation using mobile telephony installation
CN100463009C (en) * 2006-12-25 2009-02-18 北京世纪高通科技有限公司 Traffic information fusion processing method and system
CN101436346A (en) * 2007-11-20 2009-05-20 孙少炜 Traffic intelligent management system and method
CN101540103A (en) * 2008-03-17 2009-09-23 上海宝康电子控制工程有限公司 Method and system for traffic information acquisition and event processing
CN102157063A (en) * 2011-05-17 2011-08-17 北京工业大学 Vehicle-mounted GPS-based ubiquitous traffic detection system and method
CN202102592U (en) * 2011-06-14 2012-01-04 上海雷腾软件有限公司 Double-source distributed vehicle location data collection system
CN102737510A (en) * 2012-07-03 2012-10-17 浙江大学 Real-time traffic condition acquisition method based on mobile intelligent terminal
CN103000027A (en) * 2012-12-19 2013-03-27 安徽科力信息产业有限责任公司 Intelligent traffic guidance method based on floating car under congestion condition
CN103000022A (en) * 2011-09-08 2013-03-27 北京掌城科技有限公司 Method for generating real-time traffic information
CN103106788A (en) * 2013-01-09 2013-05-15 众联智领科技(北京)有限公司 Road condition collecting and service system and method

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6401027B1 (en) * 1999-03-19 2002-06-04 Wenking Corp. Remote road traffic data collection and intelligent vehicle highway system
WO2005098780A1 (en) * 2004-03-30 2005-10-20 S.C. M-Zone Srl Method of obtaining road traffic situation using mobile telephony installation
CN100463009C (en) * 2006-12-25 2009-02-18 北京世纪高通科技有限公司 Traffic information fusion processing method and system
CN101436346A (en) * 2007-11-20 2009-05-20 孙少炜 Traffic intelligent management system and method
CN101540103A (en) * 2008-03-17 2009-09-23 上海宝康电子控制工程有限公司 Method and system for traffic information acquisition and event processing
CN102157063A (en) * 2011-05-17 2011-08-17 北京工业大学 Vehicle-mounted GPS-based ubiquitous traffic detection system and method
CN202102592U (en) * 2011-06-14 2012-01-04 上海雷腾软件有限公司 Double-source distributed vehicle location data collection system
CN103000022A (en) * 2011-09-08 2013-03-27 北京掌城科技有限公司 Method for generating real-time traffic information
CN102737510A (en) * 2012-07-03 2012-10-17 浙江大学 Real-time traffic condition acquisition method based on mobile intelligent terminal
CN103000027A (en) * 2012-12-19 2013-03-27 安徽科力信息产业有限责任公司 Intelligent traffic guidance method based on floating car under congestion condition
CN103106788A (en) * 2013-01-09 2013-05-15 众联智领科技(北京)有限公司 Road condition collecting and service system and method

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
侯晓雯: "3G移动通信技术在城市交通信息系统中的应用", 《河南科技》 *
李志辉,等: "一种基于3G应用的动态交通信息服务系统", 《2010通信理论与技术新发展-第15届全国青年通信学术会议论文集上册》 *

Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107146404A (en) * 2016-03-01 2017-09-08 香港生产力促进局 The information processing system and its method of a kind of real-time collecting and transmission traffic data
CN107784835A (en) * 2016-08-30 2018-03-09 蓝色信号株式会社 Traffic behavior model prediction system and its Forecasting Methodology based on traffic data analyzing
CN107784835B (en) * 2016-08-30 2021-06-25 蓝色信号株式会社 Traffic state mode prediction system based on traffic data analysis and prediction method thereof
CN106530703A (en) * 2016-11-25 2017-03-22 四川长虹电器股份有限公司 Intelligent terminal traffic condition acquisition system based on IOT
CN106530703B (en) * 2016-11-25 2019-09-24 四川长虹电器股份有限公司 A kind of intelligent terminal road condition acquiring system based on Internet of Things
CN107241496A (en) * 2017-05-26 2017-10-10 宇龙计算机通信科技(深圳)有限公司 Mode switching method, mode-changeover device and mobile terminal
CN107564278A (en) * 2017-07-21 2018-01-09 重庆市市政设计研究院 A kind of Chongqing City road traffic operation monitoring system
CN108648453A (en) * 2018-05-15 2018-10-12 北京百益高科信息技术有限公司 A method of traffic trip data portrait is carried out based on mobile phone location fresh information
CN108538054A (en) * 2018-05-17 2018-09-14 北京中交汇智数据有限公司 A kind of method and system obtaining traffic information based on mobile phone signaling data
CN108538054B (en) * 2018-05-17 2020-12-01 北京中交汇智数据有限公司 Method and system for acquiring traffic road condition information based on mobile phone signaling data
CN111159510A (en) * 2018-11-08 2020-05-15 奇酷互联网络科技(深圳)有限公司 Bus stop inquiry method based on intelligent terminal, intelligent terminal and device
CN112949946A (en) * 2021-04-20 2021-06-11 智道网联科技(北京)有限公司 Method and device for predicting real-time traffic road condition information and electronic equipment

Also Published As

Publication number Publication date
CN104217588B (en) 2017-03-08

Similar Documents

Publication Publication Date Title
US10984652B2 (en) Method and system for modeling and processing vehicular traffic data and information and applying thereof
CN104217588A (en) Method, server and system for acquiring real-time traffic information
CN109000668B (en) Real-time intelligent navigation method based on Internet of vehicles
EP2203714B1 (en) A method of creating map data
Tao et al. Real-time urban traffic state estimation with A-GPS mobile phones as probes
Menard et al. Comparing the GPS capabilities of the Samsung Galaxy S, Motorola Droid X, and the Apple iPhone for vehicle tracking using FreeSim_Mobile
US10458804B2 (en) Methods of obtaining and using point of interest data
US20060149464A1 (en) Method and system for determining the shortest elapsed time route
AU2005334686A1 (en) Method, device and system for modeling a road network graph
US9644970B2 (en) Parking garage environment detection and EHPE determination for vehicular navigation
CN102737510A (en) Real-time traffic condition acquisition method based on mobile intelligent terminal
CN101933062A (en) The system that is used for sensing road and traffic
CN101925939A (en) Method and system for estimating road traffic
CA2720448A1 (en) A method of creating a speed estimation
CN103888894A (en) Traffic state information acquisition method and device
CN118538021A (en) Vehicle path restoration method and electronic equipment
Misesner et al. VII California: Development and Deployment—Lessons Learned

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20170308