CN104303014A - Transportation route distribution ratio control system and transportation route distribution control method - Google Patents
Transportation route distribution ratio control system and transportation route distribution control method Download PDFInfo
- Publication number
- CN104303014A CN104303014A CN201280073193.2A CN201280073193A CN104303014A CN 104303014 A CN104303014 A CN 104303014A CN 201280073193 A CN201280073193 A CN 201280073193A CN 104303014 A CN104303014 A CN 104303014A
- Authority
- CN
- China
- Prior art keywords
- path
- share rate
- user
- information
- traffic
- 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
Links
- 238000000034 method Methods 0.000 title claims description 44
- 238000009826 distribution Methods 0.000 title abstract description 16
- 230000008859 change Effects 0.000 claims description 19
- 238000004364 calculation method Methods 0.000 claims description 16
- 238000003860 storage Methods 0.000 claims description 12
- 230000004075 alteration Effects 0.000 claims description 3
- 238000009790 rate-determining step (RDS) Methods 0.000 claims 1
- 230000001939 inductive effect Effects 0.000 abstract description 2
- 230000009471 action Effects 0.000 description 27
- 230000008569 process Effects 0.000 description 27
- 238000005457 optimization Methods 0.000 description 19
- 238000004891 communication Methods 0.000 description 18
- 238000012545 processing Methods 0.000 description 16
- 238000012546 transfer Methods 0.000 description 15
- 230000000875 corresponding effect Effects 0.000 description 12
- 230000006870 function Effects 0.000 description 12
- 230000008901 benefit Effects 0.000 description 10
- 238000004088 simulation Methods 0.000 description 9
- 230000003321 amplification Effects 0.000 description 8
- 238000011835 investigation Methods 0.000 description 8
- 238000003199 nucleic acid amplification method Methods 0.000 description 8
- 230000000007 visual effect Effects 0.000 description 7
- 230000005540 biological transmission Effects 0.000 description 6
- 230000006698 induction Effects 0.000 description 5
- 230000002596 correlated effect Effects 0.000 description 4
- 241001269238 Data Species 0.000 description 3
- 238000006243 chemical reaction Methods 0.000 description 3
- 230000004087 circulation Effects 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 230000003203 everyday effect Effects 0.000 description 3
- 238000012544 monitoring process Methods 0.000 description 3
- 238000011002 quantification Methods 0.000 description 3
- 238000009825 accumulation Methods 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 2
- 238000013459 approach Methods 0.000 description 2
- 230000000739 chaotic effect Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000000605 extraction Methods 0.000 description 2
- 230000037361 pathway Effects 0.000 description 2
- 230000008707 rearrangement Effects 0.000 description 2
- 239000013589 supplement Substances 0.000 description 2
- 230000007704 transition Effects 0.000 description 2
- 238000012800 visualization Methods 0.000 description 2
- 238000003848 UV Light-Curing Methods 0.000 description 1
- 230000033228 biological regulation Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 239000012141 concentrate Substances 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 239000006185 dispersion Substances 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000006855 networking Effects 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 239000000047 product Substances 0.000 description 1
- 239000000700 radioactive tracer Substances 0.000 description 1
- 239000011347 resin Substances 0.000 description 1
- 229920005989 resin Polymers 0.000 description 1
- 230000001502 supplementing effect Effects 0.000 description 1
- 230000036962 time dependent Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/20—Instruments for performing navigational calculations
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L27/00—Central railway traffic control systems; Trackside control; Communication systems specially adapted therefor
- B61L27/10—Operations, e.g. scheduling or time tables
- B61L27/16—Trackside optimisation of vehicle or train operation
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L27/00—Central railway traffic control systems; Trackside control; Communication systems specially adapted therefor
- B61L27/40—Handling position reports or trackside vehicle data
Landscapes
- Engineering & Computer Science (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Mechanical Engineering (AREA)
- Automation & Control Theory (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Navigation (AREA)
- Traffic Control Systems (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
- Data Exchanges In Wide-Area Networks (AREA)
Abstract
The present invention provides route guidance information to users, taking into consideration current route distribution conditions and the preferences of individual users, and implements control so as to achieve an optimal balance in the route distribution ratio across the entire network by inducing changes in the routes taken by users. Using the data from non-contact IC cards associated with the transport system and information such as position information during transport, which is obtained from devices such as mobile phones, the current distribution ratios of the transportation means and routes are determined, and route guidance information is provided to users, taking into account the preferences of the individual users, thereby improving comfort during user movement and implementing control such that the distribution ratios between means of transport and between routes achieve appropriate values.
Description
Technical field
The present invention relates to a kind of analytical approach and device, this analytical approach is the path share rate of the data grasp multiple transportation modes by representing mode of transportation service condition, route guidance information is provided to user after the hobby considering path sharing condition and each user, by user, path is changed, guide the path share rate of whole traffic society to reach optimum balance.
Background technology
All the time, in the society centered by automobile, most people is all paid the utmost attention to the comfortableness of individual and uses action motor, and caused traffic jam etc. thus, result causes the damaged problem of comfortableness of action.But if pay attention to the efficiency of whole traffic society and implement extreme inflow rule etc., for traffic user, before being also envisioned that the comfortableness occurring in action, life itself becomes not convenient such situation.That is, if the selection of the mode of transportation based on each traffic user values and the suitable traffic behavior as entire society connected, can think that the two is in compromise relation.So compromise and realize the optimization of whole traffic society in order to eliminate, not only need the optimization realizing the respective traffic such as railway and automobile mode, also need synthetically hold the associating of these multiple transportation modes and consider the comfortableness etc. of each user.
In addition, in recent years, the information can be correlated with to traffic is carried out the mobile terminal of real-time tranception and dispensing device and is obtained and popularize fast, user can in action time retrieval traffic route, even if or ruuning situation and alternative routing also can be checked in action in process.But existing universal route guidance system, generally speaking, it only according to the hobby recommendation paths of time priority or each user of trucking costs priority scheduling, does not consider the user's sharing condition between multiple mode of transportation or path.Therefore, also can there is user and concentrate on the first-class problem of a certain mode of transportation or path in difference according to circumstances, also can see when occurring to run chaotic such traffic obstacle etc., and chaotic case occurs in whole traffic society.
On the other hand, Patent Document 1 discloses a kind of system, this system is after considering the action experience number of times of user, make the input data of road traffic simulation, and, this system treats preferential key element according to the action object definition of each user: the people travelled frequently is that due in is preferential, and people's great majority of going home are according to moment action of setting out.
Prior art document
Patent documentation
Patent documentation 1: Japanese Patent Application 2005-356254 publication
Summary of the invention
The problem that invention will solve
But, although the technology recorded in above-mentioned patent documentation 1 is the input data making road traffic simulation after considering the mobile experience number of times of user, relevant hobby when it does not consider that each user is in action.
The present invention completes in view of the above problems.The object of the invention is to, control as follows: the path share rate being grasped multiple transportation modes by traffic class usage datas such as traffic class IC-card data and GPS logs, route guidance information is provided to user after the hobby considering path sharing condition and each user, by user, path is changed, avoid extremely concentrating on a certain mode of transportation or path, make the path share rate of whole traffic society reach optimum balance.
For solving the means of problem
The problems referred to above such as can be resolved by a kind of traffic route share rate control system.Described traffic route share rate control system uses a kind of traffic information database, the current path share rate and optimal path share rate that are associated with each path and the personal path taste information be associated with user ID is stored in this traffic information database, the feature of described traffic route share rate control system is, described traffic route share rate control system has: alternative routing candidate calculating part, it is according to the current path share rate stored in described traffic information database and optimal path share rate and personal path taste information, calculate the relevant alternative routing candidate information of first user ID and be stored into described traffic information database, and, rate of change control part is shared in path, it is according to the alternative routing candidate information of described storage, path share rate variation under calculating path alteration, and the described path share rate variation calculated and the movement threshold preset are compared, when being less than described movement threshold in the path share rate variation calculated described in described comparison, according to the described alternative routing candidate information calculated, route diversion control is carried out to described first user ID, when being greater than described movement threshold in the path share rate variation calculated described in described comparison, described alternative routing candidate calculating part is indicated to calculate the alternative routing information being different from second user ID of described first user ID.
Invention effect
Can be realized by the present invention: improve the comfortableness of each user and both circulations smoothly of whole traffic society when taking action simultaneously.
In addition, can control traffic society by the present invention in comparatively cost-effective mode, which is with importing flow regulation or improve compared with the enforcement policies such as movement capacity, can provide information to each user.
In addition, by the present invention, each user can as using common route search engine, and the necessary condition minimum by means of only input just can according to situation at that time or the hobby of oneself grasp optimizing behavior route.
Accompanying drawing explanation
Fig. 1 is the concept map that the example being realized the optimization circulation of whole traffic society by the use share rate of induction user controllability path is shown.
Fig. 2 is the basic block diagram of the example implementing whole system of the present invention.
Fig. 3 is the figure of the example of the structure of the register of the use historical information illustrated for storing traffic class IC-card.
Fig. 4 is the figure of the example of the structure of the register illustrated for storing the positional information when vehicles such as gps data use.
Fig. 5 is the figure of the example of the structure of the register illustrated for being stored the result data after magnitude of traffic flow statistics by monitor investigation etc.
Fig. 6 is the figure of the example of the structure of the register of the essential information illustrated for storing station/lines/paths.
Fig. 7 be illustrate for storing use history according to traffic class IC-card, the figure of the example of the structure of the register of moving recording data that the positional information, magnitude of traffic flow statistics etc. of the vehicles when using generate.
Fig. 8 is the figure of the example of the processing sequence of the use history trendline moving recording illustrated according to traffic class IC-card.
Fig. 9 illustrates that positional information when using according to vehicles such as gps datas generates the figure of the example of the processing sequence of moving recording.
Figure 10 illustrates the figure according to being generated the example of the processing sequence of moving recording by the result data after the statistics magnitudes of traffic flow such as monitor investigation.
Figure 11 illustrates skeleton diagram that the is interval and example of the relation in path.
Figure 12 is the figure of the example of the structure that the storer defining for the prior station that comprises certain region or bus stop and store is shown.
Figure 13 is the figure of the example illustrated for the prior structure to the register that the use share rate of each traffic route stores.
Figure 14 is the figure of the example of the processing sequence of the use share rate illustrated for calculating each traffic route.
Figure 15 is the figure of the example illustrated for the prior structure to the register that the hobby relevant information of user stores.
Figure 16 is the figure of the example of the processing sequence of the hobby illustrated for calculating user.
Figure 17 is the figure that the example that the network chart of path condition and the current utilization rate considering each traffic route is explored is shown.
Figure 18 is the figure illustrated for calculating the example of pointing out the processing sequence of recommendation paths to user.
Figure 19 is the figure illustrated for realizing the example of the optimized processing sequence of whole traffic society while the hobby considering each user.
Figure 20 be illustrate to the action of each user carry out visual after the figure of example of result.
Figure 21 be to illustrate arbitrary interval between path share rate situation carry out visual after the figure of example of result.
Figure 22 is the figure of the example of the picture that expense system for setting simulation and running number of times are shown.
Figure 23 be illustrate to analog result carry out visual after the figure of example.
Figure 24 is the figure of the example of the recommendation paths searching picture illustrated towards user.
Figure 25 is the figure of the example of the result for retrieval picture of the recommendation paths search engine illustrated towards user.
Embodiment
Embodiment 1
There is provided to user after utilizing Fig. 1 ~ Figure 25 and formula 1 to show the hobby by considering path sharing condition and each user of the present invention or induce route guidance information, realizing the example of the optimization system of the path share rate of whole traffic society.
Fig. 1 is the concept map that the optimization circulation being realized whole traffic society by the use share rate of induction user controllability path is shown.Of the present inventionly utilize obtain the data of the traffic service condition of user (002) for making the effectiveness of user and traffic route share rate realize optimized route guidance system (001), analyze the current service condition of the traffic route that multiple communication person (003) provides.In addition, according to the hobby of the analysis result of present situation and the appropriate movement capacity of each communication person and user, mobile route relevant information is provided to user.Thus, because part user can move according to path according to provided information, result can adjust distribution, makes mobile route not be displaced to particular path.Due to the dispersion of user's mobile route, when the utilization rate of each traffic route changes, situation of change shows as the data of reaction traffic service condition again, utilizes data carry out the analysis about inducing effect and learn, can carry out better induction thus to user.Of the present inventionly both hobby relevant informations of information and user are used to provide the route guidance calculated information to user for making the effectiveness of user and traffic route share rate realize optimized route guidance system according to the path of present situation, by making the use share rate of traffic route change, realize the optimization of whole traffic society.
Fig. 2 is the one-piece construction figure of the system of the present embodiment, this system provides to user after the hobby by considering path sharing condition and each user or induces route guidance information, realizes the example of the optimization system of the path share rate of whole traffic society.In recent years, most of users (101) of means of transportation are used to adopt non-contact IC card or have the portable terminal device (103) of same function, by for the ticket checking machine of means of transportation or the reading terminals (102) that is arranged in car.These data obtained by terminal in ticket checking machine or car are sent to by network (105) server zone that respective communication person (106,107) manages.In addition, in recent years, universal rapidly high function portable terminal device etc. generally all has the function that can be obtained, be sent by GPS etc. positional information.When user (104) allows, communication person (106,107) can pass through networking (105) and collect above-mentioned positional information.In fact, the application program etc. of carrying out traffic route guide according to the positional information of user is widely used.In addition, also can consider that the statistics data of the extensive monitor investigation of the regular enforcement that use is traditional etc. and the Questionnaire results of autonomous collection etc. are as the data representing the magnitude of traffic flow.Moreover, in recent years, have a lot of AT STATION in or station periphery etc. the situation monitoring camera (108) is set, also can utilize that these cameras are inferred the volume of traffic according to the view data of shooting or record, quantification and accumulation.Consider that the traffic route share rate optimization system (109) of the hobby of user is made up of data server (111), calculation server (112) and information distributing server (113), its according to non-contact IC card or have the usage data of portable terminal device (103) of same function and user positional information, monitor that camera image and monitor investigation etc. are to infer or the traffic data of statistics is accumulated, and carry out analyzing and processing.In addition, there is omitted herein for contactless IC card, ticket checking machine and the illustrating of function, result and flow inference technologies monitoring camera etc.
When the user (101) holding non-contact IC card (103) is by ticket checking machine (102), for identifying the user ID of IC-card (103) and comprising and be accumulated in ticket checking machine (102) by the positional information on date etc., the server managed by the communication person (106,107) in operation source is accumulated in as metadata.The positional information of user (104) and the view data of supervision camera (108) are also same.Meanwhile, necessary part as every one hour or so every other day waiting suitable opportunity passed through network (105) and be sent to data server (111).The traffic route share rate optimization system (109) considering the user's hobby be made up of the server zone of data server (111), calculation server (112) and information distributing server (113) is connected with network (105), can with communication person (106,107) and user (115,117) communicate.In addition, although the present embodiment is described as the server zone of data server (111), calculation server (112) and information distributing server (113), but also can be configured to be made up of one or more servers, and the function of server zone can be performed.
The data of the magnitude of traffic flow that the positional information when data and the vehicles that represent the user read by IC-card wire lead terminations such as ticket checking machines are used by network (105) reception by data server (111) and the image of supervision camera and monitor investigation etc. are added up, and be recorded in the data store (121) of server.Collect and comprise traffic class IC-card data (122) with the data stored, position data (123) when being used by the vehicles, monitor the basic master data (125) etc. that the magnitude of traffic flow statistics (124) that camera image and monitor investigation etc. are added up and station or bus stop or route are relevant.Further, also store by traffic class IC-card data (122), used by the vehicles time position data (123), monitor camera image and monitor investigation etc. statistics magnitude of traffic flow statistics (124) etc. carry out the moving recording data (126) after time processing.When there is change or after upgrading, suitably also carry out upgrading and record from the basic master data (125) that its exterior input station is relevant with route.Position data (123) when these traffic class IC-cards data (122) and the vehicles use although in comprise the positional information of user, owing to having carried out encryption or anonymization etc., personal information has been adequately protected and has been stored.
Calculation server (112) carries out generating the process of Mobile data and the computing of current path share rate and considering the optimization simulation etc. that individual has a liking for according to data server (111).Calculation server (112) is formed primarily of network interface (I/F (A)) (130), CPU (131), storer (132) and storage part (133).Network interface is the interface for interconnection network.Storage part (133) comprises program group and data store (139), this program group as moving recording generator program (134), path share rate/conevying efficiency calculation procedure (135), mobile time hobby extraction program (136), the route search program (137) of the hobby considering user and current path utilization rate and personalistic utility and the optimization simulator program (138) etc. with path share rate; This data store (139) stores by the statistical value drawn in the result of computing and desired value etc.Storage part such as hard disk drive or CD-ROM drive and flash card etc.In addition, also various program and various data can be carried out distinguishing and record in a plurality of storage devices.
When performing each program group, the data as analytic target are read from data server (111), and it is temporarily stored to storer (132), by CPU (131), each program (134,135,136,137,138) read into storer and performs, thus achieving various function.The execution time of these programs can be the time that such as user asks also can be when supplementing new data to data server (111) each time.Or, also can as batch treatment, every day official hour automatically process.In addition, when the data as analytic target are sent in real time, program (134,135,136,137,138) also can such as only process the new differential data added.
Information distributing server (113) has network interface (I/F (B)) (145) and (I/F (C)) (144), CPU (146), storer (147) and pen recorder (148).Network interface is the interface for interconnection network.Pen recorder is used for recording various program and various data, such as hard disk drive, CD-ROM drive and flash card etc.In addition, also various program and various data can be carried out distinguishing and record in a plurality of storage devices.
Information distributing server (113) is for making user (115,117) according to portable information terminal (116), home-use or public information terminals (118), by network (114), the retrieval of the recommendation paths that carry out confirming with user and oneself hobby conforms to, and reference retrieval result.In addition, also can by user (115,117) non-contact IC card (103) held inserts IC-card guide device, and sends it to information distributing server (113) by network (114) and transfer to user and confirm that program (141) is to determine individual.Pen recorder (148) records user and confirms program (141), retrieval process program (142) and route guidance information delivery program (143).The various programs being recorded in pen recorder (148) are read into storer and perform by CPU (146), to realize various function.Specifically, program is confirmed by user, contrast with the user ID of the data being accumulated in data server (111), retrieval process program is performed according to according to data, thus, extract the hobby of user, carry out the calculating in rear benefit path and the Simulation of path share rate, by performing information delivery program, according to analog result, the rear benefit routing information determined being processed and being distributed to user.These information are all obtain in the moment of initiatively carrying out obtaining each user substantially.
System fortune user (119) considering the traffic route share rate optimization system (109) of user's hobby can pass through network (151) use information terminal (120), confirms that the structure of various accumulation data and situation, the situation of calculation server and result of calculation and user carry out the situation etc. of retrieval request.In addition, when carrying out personalistic utility and the Simulation with path share rate, also setting parameter etc. can be carried out.Moreover the business operation person carrying out the communication person (106,107) of the cause operation of the vehicles also can carry out the application of traffic route share rate optimization system (109) and the setting parameter etc. during simulation.
Fig. 3 is the figure of the data structure example that the representative data be stored in data server (111) is shown.First, traffic class IC-card data (122) comprises the information such as use classes (245), wherein, use classes (245) comprise as the user ID (242) of object, the station ID relevant to the information that have passed which digital independent terminal (243), by use moment (244) of this reading terminals and enter the station or departures etc.Here the use classes said refers to, such as, represents " entering the station " and " departures " when ticket checking machine or gateway, if commodity selling terminal etc. then represent the information of the kind of process such as " purchases ".Traffic class IC-card data (22) can be sent out in each newly-generated data, or also can carry out disposable transmission using the late into the night reduced.In data server (111) side, the stores processor matched opportunity with this transmission only need be carried out.
Fig. 4 is the figure of another example of the data structure that the representative data be stored in data server (111) is shown.What the position data (123) when the vehicles use comprised record data (251), the user ID (252) as object, the position ID (253) relevant to the information that have passed which place and passed through this place passes through the information such as moment (254).Here user ID refers to as the card ID of traffic class IC-card, the device id of portable information terminal and positional information obtain the information relevant to user such as member ID of program.In addition, position ID refers to the information in the place representing relevant to using the place of the vehicles such as station, bus stop and highway.Position data (123) when the vehicles use refers to such as, when taking electric car or automobile, bus etc., by the data accumulated after the Latitude-Longitude data manually or with fixed time interval automatically obtaining or send are replaced into positional information.Position data (123) when traffic class instrument uses can be sent out when each newly-generated data, or also can carry out disposable transmission within the time period using minimizing.In data server (111) side, the stores processor matched opportunity with this transmission only need be carried out.
Fig. 5 is the figure of another example of the data structure that the representative data be stored in data server (111) is shown.Magnitude of traffic flow statistics (124) comprises the information such as homeposition ID (261), in-position ID (262), time period (263), the vehicles (264) and action number (265).Here homeposition ID and in-position ID refer to the information in the place representing relevant to using the place of the vehicles such as station, bus stop and highway.All the time, it is well known that to have added up from certain place to the data of the magnitude of traffic flow in another place be in esse or be disclosed.When comprising the details about using path with the use moment, store according to this grain size, when dividing with the time period and adding up, can directly store, or also can in certain time zone the Random assignment moment, by second or point in units of store.On the other hand, by using face detection or personage's tracer technique etc. in AT STATION or in the image of supervision camera that arranges of station periphery, the data of the magnitude of traffic flow represented from a certain place to another place can be converted to.Magnitude of traffic flow statistics (124) is to be investigated by above-mentioned supervision or image recognition etc. stores the example of the data structure of traffic flow data.Can be sent out when each newly-generated data, or also can carry out disposable transmission within the time period using minimizing.In data server (111) side, the stores processor matched opportunity with this transmission only need be carried out.
Fig. 6 illustrates to be stored in the kind of data server (111) interior master data (125) and the figure of each data structure.First, the master data relevant to using the place of station or the vehicles such as bus stop and highway, namely situation template (300) comprises and identifies the position ID (301) in place, object (302), holds the information such as the information (305) of the locations (304) such as company (303), residence and Latitude-Longitude.AT STATION, bus stop and route, highway structure when changing, carry out real time data and supplement or amendment.The essential information relevant to route and route template (310) comprise the information such as route type (314) identifying the route ID of route, route name (312), operator (313) and difference ordinary train and rapid.Comprise the route ID (321) identifying route, the position ID (322) being contained in this route with the master data associated of station and route and position/route correlate template (320), manage the serial number (323) of the order in place, identify the classification (324) stopping or pass through and from light the information such as required time (325).Moreover, the master data that path is relevant and path template (330) except comprise identify path path ID (331), embark point ID (332), get off position ID (333), also comprises the route ID (334,336 of riding route number ...) and lowering position ID (335 ...) information etc.When going to position of getting off (333) from embark point (332), only use a kind of means of transportation when, data be stored in for identify take which bar route route ID1 (334) in.In addition, go to from embark point station ID (332) get off position ID (333) time, when using multiple means of transportation, data are stored in successively according to the value of riding route number (341): for identifying the route ID1 (334) taking which bar route, for identifying in the lowering position ID1 (335) of transfer site, then be that the route ID2 (336) taking route is shown ... in addition, also riding route number (341) and the information such as standard required time (342) and expense (343) of the integrated information representing this path is comprised.Although there is the situation that the path of combination corresponding to embark point ID (332) and the position ID (333) that gets off has many here, general here path the highest for frequency of utilization to be distributed as the 1st path.Also can consider, when making the path of combination corresponding to embark point ID (332) and the position ID (333) that gets off have many, to increase use car according to every paths, and carry out the method analyzed after which.Such as AT STATION, bus stop, route or road be when occurring to change, and master data (125), when changing at every turn, is transfused to from the outside of system as shown in Figure 2 and upgrades or record.
Fig. 7 illustrates the figure for store storage data structure of moving recording data (126) in data server (111).Moving recording data (126) comprise the Record ID (361) for identification record, as the user ID (362) of object, indicate the amplification degree (363) of the typical value of several users, illustrate that in departure place the riding time (364) in moment brought into use by the vehicles, illustrate that the vehicles use the time getting off (365) of finish time at place of arrival, embark point station ID (366), to get off station, position (367), the payment (368) of mobile required expense is shown, and the information such as the path ID (369) of the routing information to comprise for internuncial pathway template (330).These moving recording data (126) are the position data (123) when using according to traffic class IC-card data (122), the vehicles and the data after the time processing that generates of magnitude of traffic flow statistics (124).
Fig. 8 illustrates generate moving recording data (126) according to traffic class IC-card data (122) and be stored in the figure of the order of data server (111).Here the process being stored to data server (111) is described according to carrying out a batch treatment at predetermined instant every day.First, with reference to the user ID (242) be included in new traffic class IC-card data (122) collected and use moment (244), total data is carried out resequence (treatment step 400) according to user ID order and moment order.Then, only for process identical below the user ID number repetition in the data after rearrangement in treatment step 400.First, by corresponding to embark point ID, by bus moment, get off position ID and variable corresponding to moment of getting off carry out initialization (treatment step 402).Then, for according to process (treatment step 403) identical below moment tactic Data duplication.First, place differentiating and processing is carried out according to the value of use classes (245).When the value of use classes (245) is for entering place (treatment step 404), by the value being stored in station ID (243) in the variable of embark point ID, and being stored in the variable in moment of riding uses the value in moment (244) to carry out respectively separately setting (treatment step 405).
Here, when the value of use classes (245) is for walking out place (treatment step 406), when the variable intermediate value being only limitted to embark point ID and by bus moment is set, the value in moment (244) is used to set respectively separately by being stored in the variable of the value with moment of getting off that are stored in station ID (243) in the variable of the position ID that gets off.Then, find out the use classes (245) of following appearance for entering record when place, within the use moment (244) of this record is the value in now set moment of getting off and t divides, then the use classes (245) finding out following appearance is for walking out the record (treatment step 407) when place.This is because employ other vehicles situations immediately after the use vehicles under, the destination of this user is the arrival point of the latter.On the contrary, if the difference of getting off between the moment in the use moment and setting now that enter the record in place next time is divided above (treatment step 408) at t, find out the combination of embark point ID and the position ID that gets off being equivalent to set according to path template (330), extract consistent path ID (treatment step 409).Finally, in the variable of amplification degree, arrange 1, the information of Record ID, user ID, amplification degree, by bus moment, the moment of getting off, embark point station ID, position station ID of getting off, payment and path ID is carried out storing (treatment step 410) as 1 record in moving recording data (126).Here, Record ID (361) keeps as Universal Number.The transfer time of t value expression standard here, set in advance.The allowed band of transfer time can be adjusted according to t value.The transfer time dependent thresholds t of standard be on the occasion of, as common value, also can different values can be set in each area in the overall network of communication lines.
On the other hand, when the value of use classes (245) is purchase (treatment step 411), ignores these data and enter data processing (treatment step 412) next time.
Fig. 9 illustrates that the position data (123) when using according to the vehicles generates moving recording data (126) and is stored in the figure of the order of data server (111).Here the process being stored to data server (111) is described according to carrying out a batch treatment at predetermined instant every day.First, with reference to the user ID (252) in the position data (123) be included in when the new vehicles collected use and use moment (254), total data is carried out resequence (treatment step 500) according to user ID order and moment order.Then, only for process (treatment step 501) identical below the user ID number repetition in the data after rearrangement in treatment step 500.First, by corresponding to be used for memory location ID and arrange inventory and embark point ID, by bus moment by the continuous data Dun in moment, get off position ID and data corresponding to moment of getting off carry out initialization (treatment step 502).Then, for according to process (treatment step 503) identical below moment tactic Data duplication.When position ID and by the arrangement in moment in what all do not add when (treatment step 504), at position ID with by supplementary data in the arrangement in moment, in embark point ID and setting value (treatment step 505) respectively separately in the moment by bus.Position ID and by the arrangement in moment in add data, and by the value of the final data of the arrangement in moment and the difference by the moment of record when t divides above (treatment step 506), be seen as and there is no continuous moving, in the last value (treatment step 507) of position ID and setting position ID and the arrangement by the moment in the moment of getting off of getting off.Moreover, due to the order of the list by tracing position ID, namely can know by any paths movement, therefore according to the path template extraction path ID consistent with this path and expense (treatment step 508).Finally, 1 is arranged in the variable of amplification degree, in moving recording data (126), the information of Record ID, user ID, amplification degree, by bus moment, the moment of getting off, embark point station ID, position station ID of getting off, payment and path ID is carried out storing (treatment step 509) as 1 record, position ID, arrangement list by the moment, embark point ID, by bus moment, embark point ID and the variable in moment are by bus carried out initialization (treatment step 510).
Here, the Record ID (361) of moving recording data (126) keeps as Universal Number.Here t value is the value of the time division point represented between multiple movement, sets in advance.The successional degree of movement can be adjusted according to t value.Threshold value t be on the occasion of, according to the vehicles and position as common value, also different values can not can be set.
Figure 10 illustrates generate moving recording data (126) according to magnitude of traffic flow statistics (124) and be stored in the figure of the order of data server (111).Here the process being stored to data server (111) is carried out batch treatment to illustrate according in the new supplementary data moment.Following process (treatment step 600) is carried out for the total data comprised in new magnitude of traffic flow statistics (124) of collecting.First, by corresponding to embark point ID, by bus moment, the position ID that gets off, get off moment and variable corresponding to amplification degree carry out initialization (treatment step 601).Then, arrange the homeposition ID of record in embark point ID, getting off, position ID arranges in-position ID.In addition, also have when record time period be according to per hour carry out statistic behavior, in this time period, extract the random moment carry out the method such as set (treatment step 602).In this case, the methods such as the value setting the mobile number divided according to the length of time period in amplification degree can be considered.The job operation of these data can linearly be carried out, and also can carry out according to n function (n >=2) and probability distribution.Then, with the value of embark point ID, get off position ID and the vehicles, retrieve suitable register according to path template (330), and extract the value (treatment step 603) of consistent path ID and expense and standard required time out.Finally, substitute into the value added after the standard required time extracted from path template (330) in carving while taking a bus, the information of Record ID, user ID, amplification degree, by bus moment, the moment of getting off, embark point station ID, position station ID of getting off, payment and path ID is carried out storing (treatment step 604) as 1 record in moving recording data (126).Here, Record ID (361) keeps as Universal Number.
Figure 11 is the station roughly illustrated in the railway network and bus routes net, bus stop, route and figure that is interval and path relation.Generally speaking, the railway network and bus routes toward in, to exist near the station of multiple Te Lu company and public transport company and bus stop so-called changes station into.Such as, in walking circle, have the bus stop 2 (706) at the bus stop 1 near station 1 (701), the bus stop 3 (705) near station 2 (703) and station 4 (704), close station 3 (707) with being respectively adjacent to.In addition, from station 1 (701), have following path: use rail route 1 (711) to go to the path 1 at station 2 (703), and use public bus network 1 (713) to go to bus stop 2 (706) and AT STATION (707) transfer use rail route 2 (712) get to the station 4 (704) path 2.Moreover, from bus stop 1 (702), also have the route 3 using bus routes 2 (714) to arrive bus stop 3.When user considers to go near station 2 near station 1, region, departure place A comprises the options of station 1 (701) and bus stop 1 (702), region, destination B comprises the options of station 2 (703), station 4 (704) and bus stop 3 (705), further, also exist therebetween path 1 to path 3 these three kinds of options.So, to connect the line in certain region, departure place and region, destination for interval, the route connected between station and station in the middle of it is defined as path.
Figure 12 illustrates to store for transfer site group regarding the figure of the data structure of the region definition data of same area as by illustrated in fig. 11.The information such as position ID1 (805), position ID2 (806), position ID3 (807), position ID4 (808) comprised in used vehicles place quantity (804) comprised in (803), this region during region definition list (800) comprises representative position ID (802) for comprising in the region ID (801) of identity register, this region, the effective object of this definition, region.Traffic can be neglected place to use and be represented the places such as station, bus stop and taxi boarding station.The networks of communication lines such as station, traffic station, route and highway also change along with the transition in epoch, therefore, need to carry out new definition to it along with change.In addition, the valid period (803) of prior stipulative definition, very important in subsequent treatment.
Figure 13 is the figure that the data structure that the path existed for calculating each interval is also preserved with its utilization rate is shown.Path use share list (900) to comprise for cog region between interval ID (901), represent the region, departure place ID (902) of departure place, represent arrival point region ID (903) of arrival point, during object as objects of statistics (904), as the time period (905) of objects of statistics, the user taken action in this interval always utilizes number of times (906), the number of path (907) that this interval comprises, first path ID (908), the utilization rate (909) in first path, second path ID (921), the utilization rate (922) in second path, 3rd path ID (931), the information such as the utilization rate (932) in the 3rd path.This list comprises all path ID existed in source data.
Figure 14 illustrates for extracting the path that may exist whole interval and being stored in the figure that path uses the processing sequence in share rate list (900).First, register corresponding with the time period only extract the object of setting in advance according to moving recording data (126) during, and prepare for store All Paths, by statistics path ID and control the listing arrangement that the group of resin forms, and carry out initialization (treatment step 1000).Here during object and the value of time period be set in outside in advance, during set all data objects and the combination of time period carry out same treatment, but the example with the process when time period during 1 determines data object is shown here.For whole records (treatment step 1001) of the Mobile data extracted, with reference to the path ID of moving recording, be stored in (treatment step 1002) in the listing arrangement of preparation.For the listing arrangement of statistics, repeat following process (treatment step 1003).When statistical value is positive (treatment step 1004), in path template (330) according to the record of this path ID with reference to embark point ID, get off position ID, region, the departure place ID of transition region definition list and arrival point region ID (treatment step 1005).When region, departure place ID and arrive region ID combination Already in path use share rate list (900), in the record of this interval ID, whether retrieval comprises the path ID of object, so add statistical value if comprised, and the utilization rate of All Paths is calculated again with reference to the value amounting to number of packages between new district and stores.When not comprising the path ID of object in the data of this interval ID, again supplement path and amount in interval in the value of number of packages and add 1 in number of path, additional calculation is carried out to the statistical value in path, and again calculate with reference to the utilization rate of value to complete trails amounting to number of packages between new district, and store (treatment step 1007).When the combination of region, departure place ID and arrival region ID is not present in path use share rate list (900) (treatment step 1008), again interval ID is given, 1 is set in number of path, interval statistical value moreover the setting 100 in utilization rate amounting to set path in number of packages, is stored in path and uses share rate list (treatment step 1009).
Figure 15 is the figure of the data structure that the action hobby property information that the action for storing user is correlated with is shown.User's hobby property information comprises user ID (1101), region, departure place ID (1102), arrival point region ID (1103), as judge object object during (1104), as the time period (1105) judging object, the path ID (1106) the most often used in the path existed between region, departure place and arrival point region during object, the path utilization rate (1107) the most often used in the path existed between region, departure place and arrival point region during object, represent the admission fee coefficient (1108) of the degree paying attention to admission fee, and the information such as the time coefficient (1109) of the degree of required time are paid attention in expression.Here in order to description is simplified, only describe the coefficient relevant with this two path conditions of time to admission fee, also number of transfer and the key element such as the starting station that other users pay attention to can be supplemented, in this case, the region of the data for storing the coefficient relevant to other key elements need only be prepared.In addition, in judgement during usage data, except during object and except the time period, also can with what day classification or working day/classification on off-day etc. stores result of determination.
Figure 16 is figure Mobile data for analyzing user being shown and being stored in the processing sequence of user's hobby property information (1110).According to moving recording data (126), with time period corresponding record during only extracting the object of setting in advance, be separated according to the order of user ID, listing arrangement that prepare the statistics for storing All Paths, that be made up of the group of path ID and access times, carries out initialization (treatment step 1200).Here during object and the value of time period be set in outside in advance, during set all data objects and the combination of time period carry out same treatment, but the example with the process when time period during 1 determines data object is shown here.Following process (treatment step 1201) is repeated to all records extracted.With reference to the record path ID of moving recording, in the listing arrangement be made up of the group of path ID and access times, carry out additional calculation (treatment step 1203).By treatment step 1203, after the statistics of all moving recordings terminates, repeat following process (treatment step 1204) for the listing arrangement be made up of the group of path ID and access times.Based on the ID of path, with reference to path template (330), extract corresponding embark point ID and the position ID that gets off, reference area definition list (800) conversion is set out region ID and arrive region ID, and to setting out, region ID and the combination that arrives region ID keep (treatment step 1205) in advance with the list of numerical value processed of the total access times of this combination of enclosing.When to exist have identical set out region ID and arrive the path ID of combination of region ID (treatment step 1206), the path ID that choice for use number of times is maximum, by path ID and access times and identical set out region ID and arrive region ID combination total access times value based on, again calculate the utilization rate using maximum path, and carry out storing (treatment step 1208).In addition, based on the path ID with the combination of identical set out region ID and arrival region ID, with reference to path template (330), the value extracting admission fee and required time compares, and calculates the coefficient (treatment step 1209) representing the how preferential admission fee of user and required time thus.When there is multiple options about traffic route, the feature (conditional value of admission fee and required time etc.) being conceived to respective path shows the gimmick of the selection action of user to be commonly referred to as logarithmic model.Use logarithmic mode, based on the conditional value in multiple path, can illustrate that what key element user payes attention to and have multiple looking, therefore most phenomenon (formula 1, formula 2) selecting this paths such.
V
j=a × x0+b × x1+c × x2+d × x3+e ... (formula 2)
Formula 2 represents that user uses the formula that the effectiveness during vehicles is relevant.Such as, using admission fee and required time etc. as explanatory variable, calculating the sum of products of the coefficient that each independent variable is correlated with, by being substituted into formula 1, the action what has changed which kind of path of selection with can be represented.
Such as, 2 is example with the formula, and Vj represents the value of the user utility of path j.X0, x1, x2, x3 ... it is explanatory variable; A, b, c, d ... it is the coefficient that explanatory variable is relevant.Pj is the probability of user's selecting paths j.
When there is not the path ID of the combination with identical set out region ID and arrival region ID (treatment step 1209), in utilization rate, set 100, in user's hobby property information (1100) using during user ID, region, departure place ID, arrival point region ID, object, the maximum path ID of time period, use and use the utilization rate information in maximum path to carry out storing (treatment step 1210) as 1 record.In addition, as action hobby property during individual action in above-mentioned example, show admission fee and required time, in addition, the consideration of number of transfer and hybrid UV curing, on foot time and the type etc. of buying place are comprehensively analyzed, precision and quality can be improved.
Figure 17 is the figure that the example that the network chart of path condition and the current utilization rate considering each traffic route is explored is shown.Such as, in region A ~ D (1301 ~ 1304), the various vehicles can be utilized, suppose to there is the traffic route as the line in figure, in respective interregional path (line) generally speaking, path condition and the operational throughpuies etc. such as average required time and admission fee is specified according to communication person.On the other hand, although user takes notice of respective path condition, and the delivery pathways amount of paying no attention between each region is how many.Therefore, if only consider the hobby of each user and induce user to pass through the maximum path of advantage, the operational throughput can envisioning the path occurred between each region significantly exceeds, and becomes the state of affairs mixed very much.Therefore, observe the current use amount in the path between each region and the appropriate operational throughput of setting in advance, adjustment can be carried out difference is reduced as far as possible.Specifically, the hobby considering each user can be expected, extract the rear benefit in the path between multiple departure place and arrival point, judge which paths is closest to methods such as appropriate operational throughpuies.
Figure 18 illustrates after considering the current situation of use share rate and the hobby of user individual, calculates the figure of program (137) processing sequence of the rear benefit in the path meeting its hobby.Consider that the route search program (137) of the hobby of user and the path utilization rate of present situation performs after the retrieval request receiving user.First, by WEB website and portable information terminal application etc., region, departure place and arrival point area related information are supplied to user carries out selecting or inputting, and obtains information (treatment step 1500).At this moment, require the ID of input user, the card ID of such as traffic class IC-card and the device id of information terminal and other member ID etc., can be obtained by lead-in wire.
Then, calculate allow user carry out inputting have what kind of path between region, departure place and arrival point region, and use share rate to become how (treatment step 1501).At this moment, when various traffic service condition data are sended in real time, use real time data to grasp current value.On the other hand, when cannot real-time reception traffic service condition information, from path use share rate list (900) extract this record, statistically use the value calculated.
Moreover, each path between the region, departure place that user is inputted and arrival point region, consider the transport capacity that operation number of times and number of passengers etc. are respective to read the optimum value using share rate, calculate the difference (treatment step 1502) with the use share rate of present situation.
Then, during using the ID of the user obtained and the object of in advance setting, the information such as time period, this record (treatment step 1503) is extracted from user's hobby property information (1100).During object, can recent months or recent weeks etc. be set, for the time period, the time period can be determined according to present moment.In addition, also prior in addition this user action model up to now can be analyzed with action frequency, use its result.
Moreover, when do not exist with this region or object during, the record of consistent user's hobby property information such as time period, during also can changing object and the time period, repeated retrieval.When not having the user profile of corresponding user's hobby property information (1100), be extracted in the user (several) of this regional action, statistics is the most typically had a liking for, and uses its result.
Use the information that the user's hobby property extracted as mentioned above is correlated with, extract All Paths and the path condition of the existence of this interval, use (formula 1) will for object user score high, order that namely utility value is high arrangement path (mending path afterwards) (treatment step 1504).Such as, when the hobby information of user extracted in treatment step 1503 be admission fee preferential, comparatively cheap for expense path permutations is obtained comparatively upper.
For the rear benefit path of arrangement like this, in order, with reference to the value calculated in treatment step 1501 and 1502, the path of " appropriately use share rate-current utilize share rate > 0 " is mended after the 1st, and points out (treatment step 1505) to user.Basically, for the user of retrieval, meet the path of " appropriately use share rate-current utilize share rate > 0 " condition in mending after being recommended in it path meeting this user, thus realize global optimization.In addition, when many people carry out retrieval request to the action between same zone at the same time, also can consider to carry out the adjustment such as the larger heat source distribution of the value of " appropriately use share rate-current utilize share rate ".In addition, in treatment step 1504, due to (formula 1) can be used according to each rear benefit path computing select probability, therefore can expect that the probability considered according to recommendation paths distributes the method with the path of high probability according to every user.On the other hand, whether the route search program (137) of the hobby of this user of considering and the use utilization factor of present situation is no matter exist the retrieval requirement of user, select the user of certain part at random or under certain conditions, the situation conversion of these users when transform path is used as simulated scenario.That is, make certain user relevant information interval with action of wishing randomly or under certain conditions, in treatment step 1501 ~ 1505, all carry out same treatment.
In addition, when target user have selected the first rear benefit path calculated in treatment step 1505, calculate the variable quantity of the use share rate of giving each path, and transferred to personalistic utility and the optimization simulator program (138) (treatment step 1506) with path share rate.
Figure 19 is the figure illustrated for realizing the example of the processing sequence of the optimized program (138) of whole traffic society while the hobby considering every user.Individual effectiveness and always occur in pairs with the route search program (137) of the path utilization rate of the hobby and present situation that consider user with the optimization simulator program (138) of path share rate, and the retrieval proposed with user requires irrelevant, is the simulation carried out for realizing appropriate path share rate.First, for the variation of appropriate use share rate, set threshold value (d) in advance, repeat following process until converge to (treatment step 1600) within its threshold value.Then, read in the result of the route search program (137) of the path utilization rate of the hobby considering user shown in Figure 18 and present situation, for each path between region, any departure place and arrival point region, statistics is considered to the user's quantity that have selected this path, how to change carry out quantification (treatment step 1601) to the use share rate in each path.According to the result of quantification, the predicted value of the use share rate in each path and the appropriate use share rate value that presets or read in are compared, judge its difference whether converge to threshold value (d) within (treatment step 1602).For the path be not converged within threshold value (d), again start the route search program (137) considering the hobby of user and the path utilization rate of present situation, from by this routing be likely mend path after the 2nd, the 3rd user select some people, the adjustment carrying out rear benefit path makes these groups of people use this path, then starts personalistic utility and optimization simulator program (138) double counting (treatment step 1603) with path share rate.
Figure 20 be illustrate generated by information distributing server (113) and distribution system-oriented network operator or communication person responsible official hint image an example in, by every user dynamically carry out visual after the figure of example of result (1700).Picture (1700) is configured to: have and represent with map image to be the icon (1702 that background can use the place of the vehicles such as station or bus stop, 1703) with represent the line (1704) being connected the route in these places and operating path etc., further, represent that the icon (1701) of user changes chronologically.By color, shape and size, the icon representing station or bus stop also can illustrate that additional information (1702,1703) also can change according to sequential.Such as, also can be following expression way: according to the user's number etc. waiting for electric car at certain station, carry out moment change.Represent that the icon of user also can illustrate diversified information by its color, shape, size and additional literal expression, such as, represent for the hobby of user or the select probability of mobile route such as electric car preference or bus preferences.Use such and picture, can follow the trail of in units of user that it is dynamic.Can find that labile region and the higher diversified information such as place and time period of Occupation are held in the action of user, in addition, picture entirety can use the input interface such as mouse or keyboard to operate.Such as, following function: utilize mouse pulley etc. carry out shifting near target/remove target operation or by the information of amplifying specific station and user's icon of clicking the mouse.Not only microscopically can follow the trail of flowing to follow the trail of the dynamic of user, can also by by the effectiveness of all users and and current conevying efficiency (balance of the path share rate in each path) carry out indexing and show (1705), catch overall condition on a macro scale.Therefore, for the responsible official of system operator or communication person, situation can be grasped according to various sharpness.
Figure 21 be illustrate generated by information distributing server (113) and distribution system-oriented network operator or communication person responsible official hint image an example in, the path share rate situation between arbitrary region is carried out visual after the figure of example of result (1800).Picture (1800) is configured to: region, departure place (1801) and arrival point region (1802) are arranged as sheet form with transverse and longitudinal in order, in the part that region, each departure place and arrival point region intersect, the situation of the path share rate in this interval is shown by various ways (1803) such as pie chart, histogram, slice map, words.Identical with the picture of Figure 20, picture entirety can use the input interface such as mouse or keyboard to operate.Such as, following function: utilize mouse pulley etc. to carry out shifting near target/remove the operation of target or the details (1804) by clicking the mouse between viewing given zone.Use such picture can find the interval that still there is room for improvement, and the reason that why poor investigation conevying efficiency is.
Figure 22 be illustrate generated by information distributing server (113) and distribution system-oriented network operator or communication person responsible official hint image an example in, set the figure of the example of the picture (1900) of expense system for simulating and operation number of times.The path that picture (1900) can specify this interval to exist meticulously after specifying interval (1901), the path condition of expense (1902) and required time and number of run (1903) and so on.In addition, the adequate value (1904) of the distribution class in the path existed in this interval can be changed.The result that this condition changes, in the track search chart shown in Figure 17, because the path condition in each path and both adequate value of path allocation rate all change, therefore can attempt the rear benefit path and the path use share rate that change prompting user.Variation result can confirm in the picture of visualization result (1700,1800).At this time, the station wishing to note and bus stop (1905), rail route and bus route (1906) can especially be specified.Except the content that picture (1900) illustrates, also there is the setting item of stand-by period and Operational Timelines and so on of station and station, traveling time between station and bus stop and the change of transfer time and electric car or bus.Here the picture set and project not only for simulation, also can be used in the operational system of reality.
Figure 23 illustrates in an example of the hint image of the responsible official by information distributing server (113) generation and distribution system-oriented network operator or communication person, analog result is carried out the figure of visual example.Picture (2000) is configured to: the utilization rate at certain interval All Paths existed shown according to sequential, according to the induction situation of user, confirm its effect.Can the region that can set/confirm the induction situation of observing which interval such appointment and user be set by the form that this picture (2000) is subsidiary, also can points out in other picture.By such picture, can the result of moment to the route diversion of user monitor.When poor effect, the setting screen shown in Figure 22 can being used, by changing expense system, feeding back.Other, also can use the picture shown in Figure 20 and Figure 21 undertaken visual by analog result and confirm.
For generating the information of the hint image of Figure 20 ~ 23 by the storage part (133) accumulated in calculation server (112), the responsible official of system fortune user (119) and each communication person enters predetermined Web page, by complete drop-down menu option, according to the condition of specifying, retrieval process program (142) is performed, obtain necessary information, the information obtained by information delivery program (143) is carried out edit and sending information.
Figure 24 illustrates to be generated by information distributing server (113) and the figure of example of the recommendation paths searching picture (2100) towards user of distribution.On the recommendation paths searching picture (2100) of prompting, perform user in the moment that user (115,117) carries out asking and confirm program (141).In addition, after accepting the condition that user (115,117) specifies, perform retrieval process program (142), by route guidance information delivery program (143) object information edited and distribute.First, user (115,117) utilizes the drop-down menu on information terminal (116,118) such as Web picture, selects displaying contents.User (115,117) can use the input interface such as setting screen or mouse/keyboard to set these display conditions and change.Such as, allow user (115,117) select recommendation paths searching picture (2100) can select user ID (2101) by drop-down menu etc., departure place (2102), arrival point (2103), date (2104), time (2105), the kind (2106) selecting departure time or time of arrival, acquisition user (115,117) menu (2108) of the function that current time also sends and the hobby for choice for use person, and the condition of specifying is transferred to retrieval process program (142).In addition, for the input of user ID (2101), can be gone between by IC-card, the ID of the traffic class IC-card of user is sent to information distributing server (113).In addition, also can be the device ids such as portable information terminal.Moreover this user ID (2101) is recorded by information distributing server (113) when the maiden visit of user (115,117), the input after second time can be saved.At this moment, the menus such as date and time have been typically preset the current date etc., and therefore necessarily user does not select.In general, the DISPLAY ORDER of transfer route search picture provides the path alone of thing dealer to determine according to transfer guide engine, but employ of the present invention consider individual hobby property route search means after, preferentially can point out the path of the hobby meeting searcher.Even in the interval that first time uses, according to action history in the past, carry out the presumption of hobby property according to the subregion that working day or time period etc. are at ordinary times careful, the path being considered to be best suited for this user can be judged.In addition, after considering the path service condition in this region, the path for this user with higher convenience and comfortableness can be recommended.
Figure 25 illustrates to be generated by information distributing server (113) and the figure of example of the recommendation paths searching picture (2200) towards user of distribution.According to user at the upper menu selected of recommendation paths searching picture (2100), perform retrieval process program (142), utilize distributing programs (143), this object information is edited and distributes.Towards on the recommendation paths result for retrieval picture (2200) of user, such as, for freight priority deflection, the picture having preferential path in freight charges that prompting is recommended.Be A place for departure place, arrival point is the such combination in B place, and after execution retrieval process program (142), result exists following two kinds of paths, namely in the path of C place transfer and the path in the transfer of D place.But extracting result is that passed through distributing programs (143), formation is recommended in C station and changes to such picture, and is distributed to user when the path of C place transfer more meets the hobby of user.
As mentioned above, by analyzing the mobile data of vehicles user, can quantitatively grasp traffic route sharing condition, and, in order to realize the applicable state that traffic route is shared, the path meeting each user can be explored, induces.
Foregoing is the explanation carried out embodiments of the present invention, but the present invention is not limited in above-mentioned embodiment, can implement various deformation, can carry out suitable combination, it will be appreciated by those skilled in the art that above-mentioned embodiment.
Meet explanation
The effectiveness of user and traffic route share rate are carried out optimized route guidance system by 001
002 user
More than 003 communication person
101 users
102 ticket checking machines
103 IC-cards
104 users
105 networks
106 ~ 107 communication persons
108 monitor camera
The 109 traffic route share rate optimization systems considering the hobby of user
111 data servers
112 calculation servers
113 information distributing servers
114 networks
115 users
116 portable information terminals
117 users
118 information terminals
119 system fortune users
120 operating terminals
121 data store
122 traffic class IC-card data
Position data when 123 vehicles use
124 magnitude of traffic flow statisticss
125 master datas
126 moving recording data
130 network interfaces
131?CPU
132 storeies
133 storage parts
134 moving recording generator programs
135 path share rate/conevying efficiency calculation procedures
136 hobby extraction procedures when moving
The 137 route search programs considering the hobby of user and the path utilization rate of present situation
The effectiveness of 138 people and the optimization simulator program with path share rate
139 data store
141 users confirm program
142 retrieval process programs
143 information delivery programs
144 network interfaces
145 network interfaces
146?CPU
147 storeies
148 storage parts
151 networks
241 Record IDs
242 user ID
243 station ID
244 use the moment
245 use classes
251 Record IDs
252 user ID
253 position ID
254 pass through the moment
261 homeposition ID
262 in-position ID
263 time periods
264 vehicles
265 action numbers
300 situation templates
301 position ID
302 objects
303 all companies
304 locations
305 lat/lon
310 route templates
311 route ID
312 route names
313 operators
314 route type
320 stations-route relationship templates
321 route ID
322 position ID
323 orders
324 classifications
325 required times from initial point
330 path templates
331 path ID
332 embark point ID
333 get off position ID
334 route ID1
335 lowering position ID1
336 route ID2
341 riding route quantity
342 standard required times
343 expenses
361 Record IDs
362 user ID
363 magnifications
364 ride the date
365 get off the date
366 embark point ID
367 get off position ID
368 payments
369 path ID
400 ~ 412 treatment steps
500 ~ 510 treatment steps
600 ~ 604 treatment steps
701 stations
702 bus stops
703 ~ 704 stations
705 ~ 706 bus stops
707 stations
711 ~ 712 rail routes
713 ~ 714 bus routes
800 region definition lists
801 region ID
802 represent position ID
During 803 objects
804 vehicles can place to use quantity
805 position ID1
806 position ID2
807 position ID3
808 position ID4
900 paths use share rate list
901 interval ID
902 region, departure place ID
903 arrival point region ID
During 904 objects
905 time periods
906 interval total numbers of packages
907 number of paths
908 the 1st path ID
909 the 1st path utilization rates
921 the 2nd path ID
922 the 2nd path utilization rates
931 the 3rd path ID
932 the 3rd path utilization rates
1000 ~ 1009 treatment steps
1100 user's hobby property information
1101 user ID
1102 region, departure place ID
1103 arrival point region ID
During 1104 objects
1105 time periods
1106 the most often use path ID
1107 maximum utilization rates using path
1108 freight charges coefficients
1109 time coefficients
1200 ~ 1210 treatment steps
1301 ~ 1304 vehicles can place to use
1500 ~ 1506 treatment steps
1600 ~ 1603 treatment steps
1700 flow state visualization result pictures
1701 users
1702 stations
1703 bus stops
1704 routes
1705 indexs
1800 path sharing condition list screen
1801 region, departure places
1802 arrival point regions
The situation of 1803 path share rate
Details between 1804 given zone
1900 condition setting screens
1901 regional choice projects
1902 cost change projects
1903 running number of times change project
The adequate value setting item of 1904 path allocation rates
1905 stations or retrieval hurdle, bus stop
The selectionbar in 1906 rail path or bus path
2000 path share rate monitoring images
2100 recommendation paths searching pictures
2101 user ID
2102 go out tours start here
2103 get to the station
2104 dates
2105 times
2106 kinds
The acquisition of 2107 current locations
2108 DISPLAY ORDER
2200 result for retrieval pictures
Claims (15)
1. one kind uses the traffic route share rate control system of traffic information database, wherein, the current path share rate and optimal path share rate that are associated with each path and the personal path taste information be associated with user ID is stored in described traffic information database, it is characterized in that, described traffic route share rate control system has:
Alternative routing candidate calculating part, it is according to the current path share rate stored in described traffic information database and optimal path share rate and personal path taste information, calculates the relevant alternative routing candidate information of first user ID and is also stored into described traffic information database; And,
Rate of change control part is shared in path, it is according to the alternative routing candidate information of described storage, path share rate variation under calculating path alteration, and the described path share rate variation calculated and the movement threshold preset are compared, when being less than described movement threshold in the path share rate variation calculated described in described comparison, according to the described alternative routing candidate information calculated, route diversion control is carried out to described first user ID, when being greater than described movement threshold in the path share rate variation calculated described in described comparison, described alternative routing candidate calculating part is indicated to calculate the alternative routing information being different from second user ID of described first user ID.
2. traffic route share rate control system according to claim 1, is characterized in that,
Described traffic route share rate control system also has efferent, and any one or all in the personal path taste information of the current user ID used in described each path or alternative routing candidate or current path share rate is presented on picture by it.
3. traffic route share rate control system according to claim 1, is characterized in that,
Described traffic route share rate control system also has effectiveness and calculating part, its according to the personal path taste information that stores in described traffic information database calculate effectiveness and, wherein, described effectiveness and be the effectiveness sum in described path of each user ID; And efferent, it is by described effectiveness and be presented on picture.
4. traffic route share rate control system according to claim 2, is characterized in that,
Also area of departure domain information and arrival area domain information is stored explicitly with described path in described traffic information database;
Described each path is divided into described area of departure domain information and described arrival area domain information by described efferent, and is presented on described picture in described each path of described division and described current path share rate.
5. traffic route share rate control system according to claim 1, is characterized in that,
Described traffic route share rate control system also has condition and specifies input receiving unit, and it accepts the expense system in described path or any one or all input of running number of times or optimal path share rate;
Described alternative routing candidate calculating part according to described in the input that accepts upgrade described traffic information database, and according to the current path share rate stored in described traffic information database and optimal path share rate and personal path taste information, calculate the alternative routing candidate information that described first user ID is relevant.
6. traffic route share rate control system according to claim 2, is characterized in that,
The timing variations of the described current path share rate in described each path and the moment after carrying out described route diversion control for described user ID are presented on described picture by described efferent.
7. traffic route share rate control system according to claim 1, is characterized in that,
Described traffic route share rate control system also has user's route search input receiving unit, and it accepts the input of described user ID and zone of departure domain information and arrival area information;
Described alternative routing candidate calculating part is according to accepting the described zone of departure domain information after described input and described arrival area information, extract the current path share rate and optimal path share rate and personal path taste information that store in described traffic information database, and using the user ID that accepts after described input as described first user ID.
8. traffic route share rate control system according to claim 7, is characterized in that,
Described user's route search input receiving unit also accepts the input of path display sequence information;
Described path display sequence information joins in the described personal path taste information be associated with described first user ID by described alternative routing candidate calculating part.
9. traffic route share rate control system according to claim 7, is characterized in that,
Described alternative routing candidate calculating part is according to the described personal path taste information stored in described traffic information database, calculate the effectiveness in the described each path for described first user ID, and according to the described effectiveness calculated order from high to low, the size of described optimal path share rate and described current path share rate is compared, described size relatively in, when described optimal path share rate is greater than described current path share rate, generate alternative routing candidate information, wherein, described alternative routing candidate information using described size relatively in use path as alternative routing candidate.
10. one kind uses the traffic route share rate control method of traffic information database, wherein, the current path share rate and optimal path share rate that are associated with each path is stored in described traffic information database, and the personal path taste information to be associated with user ID, it is characterized in that, described traffic route share rate control method comprises:
Alternative routing candidate calculation procedure, it according to the current path share rate stored in described traffic information database and optimal path share rate and personal path taste information by alternative routing candidate calculating part, is calculated the relevant alternative routing candidate information of first user ID and is also stored into described traffic information database; And,
Rate of change rate-determining steps is shared in path, it shares the alternative routing candidate information of rate of change control part according to described storage by path, path share rate variation under calculating path alteration, and the described path share rate variation calculated and the movement threshold preset are compared, when being less than described movement threshold in the path share rate variation calculated described in described comparison, according to the described alternative routing candidate information calculated, route diversion control is carried out to described user ID, when being greater than described movement threshold in the path share rate variation calculated described in described comparison, described alternative routing candidate calculating part is indicated to calculate the alternative routing information being different from second user ID of described first user ID.
11. traffic route share rate control methods according to claim 10, is characterized in that,
Described traffic route share rate control method also comprises output step, and any one or all in the personal path taste information of the current user ID used in described each path or alternative routing candidate or current path share rate is presented on picture by efferent by it.
12. traffic route share rate control methods according to claim 10, is characterized in that,
Described traffic route share rate control method also comprises effectiveness and calculation procedure, its by effectiveness and calculating part according to the personal path taste information stored in described traffic information database calculate effectiveness and, wherein, described effectiveness and be the effectiveness sum in described path of each user ID; And, export step, its by efferent by described effectiveness and being presented on picture.
13. traffic route share rate control methods according to claim 11, is characterized in that,
Also area of departure domain information and arrival area domain information is stored explicitly with described path in described traffic information database;
In described output step, by described efferent, described each path is divided into described area of departure domain information and described arrival area domain information, and each path of described division and described current path share rate are presented on described picture.
14. traffic route share rate control methods according to claim 10, is characterized in that,
Described traffic route share rate control method also comprises condition and specifies input reception step, and it specifies input receiving unit to accept the expense system in described path or any one or all input of running number of times or optimal path share rate by condition;
In described alternative routing candidate calculation procedure, by described alternative routing candidate calculating part according to described in the input that accepts upgrade described traffic information database, and according to the current path share rate stored in described traffic information database and optimal path share rate and personal path taste information, calculate the alternative routing candidate information that described first user ID is relevant.
15. traffic route share rate control methods according to claim 11, is characterized in that,
In described output step, by described efferent, the timing variations of the described current path share rate in described each path and the moment after carrying out described route diversion control for described user ID are presented on described picture.
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
PCT/JP2012/003119 WO2013171780A1 (en) | 2012-05-14 | 2012-05-14 | Transportation route distribution ratio control system and transportation route distribution control method |
Publications (2)
Publication Number | Publication Date |
---|---|
CN104303014A true CN104303014A (en) | 2015-01-21 |
CN104303014B CN104303014B (en) | 2016-11-02 |
Family
ID=49583241
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201280073193.2A Expired - Fee Related CN104303014B (en) | 2012-05-14 | 2012-05-14 | Traffic route share rate control system and traffic route share rate control method |
Country Status (4)
Country | Link |
---|---|
JP (1) | JP5931188B2 (en) |
CN (1) | CN104303014B (en) |
SG (1) | SG11201407487QA (en) |
WO (1) | WO2013171780A1 (en) |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107690568A (en) * | 2015-06-07 | 2018-02-13 | 苹果公司 | Current stroke based on frequency characterizes |
CN108225359A (en) * | 2017-12-26 | 2018-06-29 | 上海展扬通信技术有限公司 | The method and relevant device of a kind of path planning |
CN109102114A (en) * | 2018-08-02 | 2018-12-28 | 中南大学 | A kind of bus trip get-off stop estimation method based on data fusion |
CN110363358A (en) * | 2019-07-23 | 2019-10-22 | 马妍 | Public transportation mode share prediction technique based on multi-agent simulation |
US11015951B2 (en) | 2015-06-06 | 2021-05-25 | Apple Inc. | Feature selection in transit mode |
US11054275B2 (en) | 2015-06-06 | 2021-07-06 | Apple Inc. | Mapping application with transit mode |
CN116129650A (en) * | 2023-03-03 | 2023-05-16 | 山东锐纳交通科技有限公司 | Traffic early warning system and method based on big data analysis |
Families Citing this family (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US9672740B2 (en) | 2014-07-15 | 2017-06-06 | Hitachi, Ltd. | Privacy protected public transit data mining method and system for effective passenger detouring |
KR102004064B1 (en) | 2015-01-16 | 2019-07-25 | 미츠비시 쥬고 기카이 시스템 가부시키가이샤 | Navigation system and on-board unit |
JP6633372B2 (en) * | 2015-12-01 | 2020-01-22 | 株式会社エヌ・ティ・ティ・データ | Route search device and route search method |
JP6612631B2 (en) * | 2016-01-25 | 2019-11-27 | 株式会社東芝 | Detour route information providing system and method, and road management device applied to detour route information providing system |
CN106297273B (en) * | 2016-09-29 | 2019-11-26 | 百度在线网络技术(北京)有限公司 | The processing method and processing device of regular bus route |
JP7078357B2 (en) * | 2017-06-07 | 2022-05-31 | ヤフー株式会社 | Distribution device, distribution method and distribution program |
JP6591571B2 (en) * | 2018-01-10 | 2019-10-16 | デジタル・アドバタイジング・コンソーシアム株式会社 | Program, information processing method and information processing apparatus |
WO2022024244A1 (en) * | 2020-07-29 | 2022-02-03 | 日本電気株式会社 | Route guidance device, route guidance method, and recording medium |
JPWO2022162738A1 (en) * | 2021-01-26 | 2022-08-04 | ||
JP7388620B2 (en) * | 2021-07-20 | 2023-11-29 | Lineヤフー株式会社 | Information processing device, information processing method, and information processing program |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2005041324A (en) * | 2003-07-22 | 2005-02-17 | Hitachi Software Eng Co Ltd | Railroad car information guide system to serve in train and guiding method |
JP2005212499A (en) * | 2004-01-27 | 2005-08-11 | Hitachi Ltd | Train route guide method and train route guide system |
JP2006188150A (en) * | 2005-01-06 | 2006-07-20 | Nippon Signal Co Ltd:The | Prediction system for rate of occupancy |
JP2006268368A (en) * | 2005-03-23 | 2006-10-05 | Railway Technical Res Inst | Alternate route guide system and alternate route guide program |
JP2007183880A (en) * | 2006-01-10 | 2007-07-19 | Fujitsu Ten Ltd | Traffic route guiding system, traffic information providing device, traffic route receiving terminal and traffic route guiding terminal |
CN101275836A (en) * | 2007-03-27 | 2008-10-01 | 株式会社日立制作所 | Traffic information system |
JP2009023444A (en) * | 2007-07-18 | 2009-02-05 | Tokyu Car Corp | Transfer guide information display system |
CN101576991A (en) * | 2009-06-10 | 2009-11-11 | 东南大学 | Method for determining grade allocation of urban roads |
-
2012
- 2012-05-14 CN CN201280073193.2A patent/CN104303014B/en not_active Expired - Fee Related
- 2012-05-14 WO PCT/JP2012/003119 patent/WO2013171780A1/en active Application Filing
- 2012-05-14 JP JP2014515344A patent/JP5931188B2/en active Active
- 2012-05-14 SG SG11201407487QA patent/SG11201407487QA/en unknown
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2005041324A (en) * | 2003-07-22 | 2005-02-17 | Hitachi Software Eng Co Ltd | Railroad car information guide system to serve in train and guiding method |
JP2005212499A (en) * | 2004-01-27 | 2005-08-11 | Hitachi Ltd | Train route guide method and train route guide system |
JP2006188150A (en) * | 2005-01-06 | 2006-07-20 | Nippon Signal Co Ltd:The | Prediction system for rate of occupancy |
JP2006268368A (en) * | 2005-03-23 | 2006-10-05 | Railway Technical Res Inst | Alternate route guide system and alternate route guide program |
JP2007183880A (en) * | 2006-01-10 | 2007-07-19 | Fujitsu Ten Ltd | Traffic route guiding system, traffic information providing device, traffic route receiving terminal and traffic route guiding terminal |
CN101275836A (en) * | 2007-03-27 | 2008-10-01 | 株式会社日立制作所 | Traffic information system |
JP2009023444A (en) * | 2007-07-18 | 2009-02-05 | Tokyu Car Corp | Transfer guide information display system |
CN101576991A (en) * | 2009-06-10 | 2009-11-11 | 东南大学 | Method for determining grade allocation of urban roads |
Cited By (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US11015951B2 (en) | 2015-06-06 | 2021-05-25 | Apple Inc. | Feature selection in transit mode |
US11054275B2 (en) | 2015-06-06 | 2021-07-06 | Apple Inc. | Mapping application with transit mode |
CN107690568A (en) * | 2015-06-07 | 2018-02-13 | 苹果公司 | Current stroke based on frequency characterizes |
US12066293B2 (en) | 2015-06-07 | 2024-08-20 | Apple Inc. | Transit navigation |
US11768077B2 (en) | 2015-06-07 | 2023-09-26 | Apple Inc. | Transit navigation |
US10976168B2 (en) | 2015-06-07 | 2021-04-13 | Apple Inc. | Frequency based transit trip characterizations |
CN107690568B (en) * | 2015-06-07 | 2021-05-25 | 苹果公司 | Frequency-based trip characterization |
US11231288B2 (en) | 2015-06-07 | 2022-01-25 | Apple Inc. | Transit navigation |
CN108225359A (en) * | 2017-12-26 | 2018-06-29 | 上海展扬通信技术有限公司 | The method and relevant device of a kind of path planning |
CN109102114B (en) * | 2018-08-02 | 2022-04-05 | 中南大学 | Bus trip getting-off station estimation method based on data fusion |
CN109102114A (en) * | 2018-08-02 | 2018-12-28 | 中南大学 | A kind of bus trip get-off stop estimation method based on data fusion |
CN110363358A (en) * | 2019-07-23 | 2019-10-22 | 马妍 | Public transportation mode share prediction technique based on multi-agent simulation |
CN116129650A (en) * | 2023-03-03 | 2023-05-16 | 山东锐纳交通科技有限公司 | Traffic early warning system and method based on big data analysis |
CN116129650B (en) * | 2023-03-03 | 2023-10-31 | 新疆北斗同创信息科技有限公司 | Traffic early warning system and method based on big data analysis |
Also Published As
Publication number | Publication date |
---|---|
WO2013171780A1 (en) | 2013-11-21 |
JPWO2013171780A1 (en) | 2016-01-07 |
CN104303014B (en) | 2016-11-02 |
JP5931188B2 (en) | 2016-06-08 |
SG11201407487QA (en) | 2014-12-30 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN104303014B (en) | Traffic route share rate control system and traffic route share rate control method | |
Shen et al. | Integrating shared autonomous vehicle in public transportation system: A supply-side simulation of the first-mile service in Singapore | |
Gurumurthy et al. | Benefits and costs of ride-sharing in shared automated vehicles across Austin, Texas: Opportunities for congestion pricing | |
US10915978B2 (en) | Integrated ride sharing system and method for fleet management systems | |
US20130339076A1 (en) | Geocoding points of interest and service route delivery and audit field performance and sales method and apparatus | |
US20190094030A1 (en) | Goal-based travel reconstruction | |
Hora et al. | Estimation of Origin-Destination matrices under Automatic Fare Collection: the case study of Porto transportation system | |
Nahmias-Biran et al. | From traditional to automated mobility on demand: a comprehensive framework for modeling on-demand services in SimMobility | |
JP5951903B2 (en) | Fee refund system and method | |
Kondor et al. | Addressing the “minimum parking” problem for on-demand mobility | |
CN105335795B (en) | A kind of subway Public Transport Transfer problem automatic diagnosis method based on IC card data | |
CN108109082A (en) | A kind of Destination Management method and system | |
CN108876465A (en) | A kind of pair of trade company's mode of carrying on the work divides the method, apparatus and server of group | |
Liu et al. | Effects and feasibility of shared mobility with shared autonomous vehicles: An investigation based on data-driven modeling approach | |
Dudycz et al. | Smart mobility solutions in public transport based on analysis chosen smart cities | |
Aljohani et al. | Receivers-led delivery consolidation policy: Estimating the characteristics of the most interested businesses to participate | |
CN114820264A (en) | Public transport vehicle transfer data processing method, device, equipment and storage medium | |
JP5823332B2 (en) | Personal behavior preference analysis system and personal behavior preference analysis method | |
Wolken et al. | Driving change: Technology diffusion in the transport sector, June 2018 | |
Habib et al. | The role of station accessibility, multimodal competitions and contextual variables in retaining customer base of urban commuter rails | |
Kagho et al. | Potential impacts of integrating an on-demand transport service with public transit system: A case study for Zurich | |
Leurent et al. | Smart mobility: A landscape under development | |
Dragomanovits et al. | Developing a Policy Support Tool for Connected and Automated Transport Systems | |
Li et al. | Identification Dockless Bike‐Sharing and Metro Transfer Travelers through Mobility Chain | |
Hora et al. | Identifying Relevant Transfer-Connections from Entry-Only Automatic Fare Collection Data: The Case Study of Porto |
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: 20161102 Termination date: 20200514 |