CN102496277A - Method and device for acquiring road traffic information - Google Patents
Method and device for acquiring road traffic information Download PDFInfo
- Publication number
- CN102496277A CN102496277A CN2011104099421A CN201110409942A CN102496277A CN 102496277 A CN102496277 A CN 102496277A CN 2011104099421 A CN2011104099421 A CN 2011104099421A CN 201110409942 A CN201110409942 A CN 201110409942A CN 102496277 A CN102496277 A CN 102496277A
- Authority
- CN
- China
- Prior art keywords
- website
- time
- adjacent sites
- road
- public bus
- 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
Images
Landscapes
- Traffic Control Systems (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The embodiment of the invention discloses a method and device for acquiring road traffic information, and solves the problem of incomprehensive coverage of traffic information when a floating car technology is adopted to provide traffic information. The method comprises the following steps: corresponding a bus route onto an electronic map, and calculating the effective running time between two adjacent stations according to the card swiping time of the all-purpose card; and finally, calculating the road average travel time according to the effective running time and the road sequence length corresponding to the effective running time. The method and the device are applicable to the field of intelligent traffic systems.
Description
Technical field
The present invention relates to the intelligent transportation system field, particularly a kind of acquisition methods of Traffic Information and device.
Background technology
Intelligent transportation system (Intelligent Transportation System; Be abbreviated as ITS); Be with advanced person's infotech, data communication transmission technology, electronic sensor technology, electron controls technology and Computer Processing technology etc. effectively integrated apply to face traffic control system entirely and set up a kind of on a large scale in, comprehensive playing a role, in real time, comprehensive traffic transportation management system accurately and efficiently.
The main target of intelligent transportation realizes the modernization of entire city traffic and transportation system exactly, and Urban Transportation modernization key link just provides the real-time dynamic information service to alleviate traffic congestion.The Real-time Traffic Information of road has become the important foundation of ITS large-scale application development.Road Real-time Traffic Information disposal system is through the source of traffic information that collects (is comprised Floating Car information; Road coil data etc.) carry out analyzing and processing, at last with through network WEB distribution platform, public mobile network etc. to the public provide road conditions information, hourage information and trip help information such as optimum traffic route.
In order to obtain Real-time Traffic Information; Usually adopt Floating Car (Float Car Data) technology at present; Its ultimate principle is: according to the vehicle location of Floating Car periodic logging in its driving process of equipping vehicle-bone global positioning system; Direction and velocity information; Use relevant computation model and algorithm such as map match, path culculating and handle, Floating Car position data and urban road are associated on time and space, finally obtain the traffic congestion information such as driving hourage of Vehicle Speed and the road of road that Floating Car is passed through.But present Floating Car is main with taxi, has caused the low problem of road coverage rate in suburb and intercity zone, and the coverage rate of the traffic congestion information that causes providing is extensive inadequately.
Summary of the invention
Embodiments of the invention provide a kind of acquisition methods and device of Traffic Information, when having solved employing Floating Car technology transport information being provided, and the incomplete problem of the coverage rate of transport information.
The technical scheme that the embodiment of the invention adopts is:
A kind of acquisition methods of Traffic Information comprises:
Set up the corresponding relation of the road in public bus network and the electronic chart, said corresponding relation is the position relation of distance, path, website and road starting point between the same public bus network adjacent sites;
Obtain the consumption data of all-purpose card on all public transport POSs, said consumption data comprises device address ID, circuit ID, Site ID, time, and said device id is unique ID of the POS on the bus;
The said consumption data that said device id is identical with vehicle ID is divided into one group, and wherein, the said consumption data of same device id put in order by the time;
According to the order of each bus website, after the said consumption data arranged in groups with identical device ID and same vehicle ID, time of arrival, the residence time and the time of departure of obtaining each website;
According to working time of departure of sailing website and the time of arrival that stops website in the adjacent sites, and, calculate the Average Travel Speed between adjacent sites according to adjacent sites road corresponding total length in the said corresponding relation.
A kind of deriving means of Traffic Information comprises:
Set up the unit, be used for setting up the corresponding relation of the road of public bus network and electronic chart, said corresponding relation is the position relation of distance, path, website and road starting point between the same public bus network adjacent sites;
Acquiring unit is used to obtain the consumption data of all-purpose card on all public transport POSs, and said consumption data comprises device address ID, circuit ID, Site ID, time, and said device id is unique ID of the POS on the bus;
Grouped element is used for the said consumption data that said device id is identical with vehicle ID and is divided into one group, and wherein, the said consumption data of same device id put in order by the time;
Arrange acquiring unit, be used for order according to each bus website, after the said consumption data arranged in groups with identical device ID and same vehicle ID, time of arrival, the residence time and the time of departure of obtaining each website;
First computing unit is used for working the time of departure of sailing website and the time of arrival that stops website according to adjacent sites, and according to adjacent sites road corresponding total length in the said corresponding relation, calculates the Average Travel Speed between adjacent sites.
The acquisition methods of the Traffic Information that the embodiment of the invention provides and device at first correspond to public bus network on the electronic chart, according to the card using information of all-purpose card, calculate the effective running time between adjacent sites then; Last according to effective running time and with said effective running time road corresponding sequence length, calculate road average hourage.The embodiment of the invention has not only improved for the accuracy rate of calculating transport information, and when having solved prior art and obtaining transport information through Floating Car, the incomplete problem of the coverage rate of transport information.
Description of drawings
In order to be illustrated more clearly in the technical scheme in the embodiment of the invention; To do to introduce simply to the accompanying drawing of required use in embodiment or the description of the Prior Art below; Obviously, the accompanying drawing in describing below only is some embodiments of the present invention, for those of ordinary skills; Under the prerequisite of not paying creative work, can also obtain other accompanying drawing according to these accompanying drawings.
The acquisition methods process flow diagram of the Traffic Information that Fig. 1 provides for the embodiment of the invention one;
The deriving means structural representation of the Traffic Information that Fig. 2 provides for the embodiment of the invention one;
The acquisition methods process flow diagram of the Traffic Information that Fig. 3 provides for the embodiment of the invention two;
The deriving means structural representation of the Traffic Information that Fig. 4 provides for the embodiment of the invention two;
Fig. 5 is the corresponding relation of road in a public bus network and the electronic chart.
Embodiment
To combine the accompanying drawing in the embodiment of the invention below, the technical scheme in the embodiment of the invention is carried out clear, intactly description, obviously, described embodiment only is the present invention's part embodiment, rather than whole embodiment.Based on the embodiment among the present invention, those of ordinary skills are not making all other embodiment that obtained under the creative work prerequisite, all belong to the scope of the present invention's protection.
For the advantage that makes technical scheme of the present invention is clearer, the present invention is elaborated below in conjunction with accompanying drawing and embodiment.
Embodiment one
Present embodiment provides a kind of acquisition methods of Traffic Information, and is as shown in Figure 1, and said method comprises:
101, set up the corresponding relation of the road in public bus network and the electronic chart.
Wherein, said corresponding relation is the position relation of distance, path, website and road starting point between the same public bus network adjacent sites.
102, obtain the consumption data of all-purpose card on all public transport POSs.
Wherein, said consumption data comprises device address ID, circuit ID, Site ID, time, and said device id is unique ID of the POS on the bus.
103, said device id is identical with vehicle ID said consumption data is divided into one group.
Wherein, the said consumption data of same device id put in order by the time, and promptly in the consumption data, charge time is arranged in the front at preceding consumption data.
104, according to the order of each bus website, after the said consumption data arranged in groups with identical device ID and same vehicle ID, time of arrival, the residence time and the time of departure of obtaining each website.
Wherein, Be the minimum time of corresponding all consumption datas of website the time of arrival of said each website, and be the maximum time of all corresponding consumption datas of website the time of departure of said each website, the residence time of calculating each website according to formula wT=dT-aT; Wherein, WT is the residence time of each website, and aT is the time of arrival of each website, and dT is the time of departure of each website.
105,, and, calculate the Average Travel Speed between adjacent sites according to adjacent sites road corresponding total length in the said corresponding relation according to working time of departure of sailing website in the adjacent sites and stop time of arrival of website.
Present embodiment provides a kind of deriving means of Traffic Information, and is as shown in Figure 2, and said device comprises: set up unit 21, acquiring unit 22, grouped element 23, arrange acquiring unit 24, first computing unit 25.
Set up unit 21, be used for setting up the corresponding relation of the road of public bus network and electronic chart.
Wherein, said corresponding relation is the position relation of distance, path, website and road starting point between the same public bus network adjacent sites.
Acquiring unit 22 is used to obtain the consumption data of all-purpose card on all public transport POSs.
Wherein, said consumption data comprises device address ID, circuit ID, Site ID, time, and said device id is unique ID of the POS on the bus.
Grouped element 23 is used for the said consumption data that said device id is identical with vehicle ID and is divided into one group.
Wherein, the said consumption data of same device id put in order by the time, and promptly in the consumption data, charge time is arranged in the front at preceding consumption data.
Arrange acquiring unit 24, be used for order according to each bus website, after the said consumption data arranged in groups with identical device ID and same vehicle ID, time of arrival, the residence time and the time of departure of obtaining each website.
Wherein, Be the minimum time of corresponding all consumption datas of website the time of arrival of said each website, and be the maximum time of all corresponding consumption datas of website the time of departure of said each website, the residence time of calculating each website according to formula wT=dT-aT; Wherein, WT is the residence time of each website, and aT is the time of arrival of each website, and dT is the time of departure of each website.
The acquisition methods of the Traffic Information that the embodiment of the invention provides and device at first correspond to public bus network on the electronic chart, according to the card using information of all-purpose card, calculate the effective running time between adjacent sites then; Last according to effective running time and with said effective running time road corresponding sequence length, calculate road average hourage.The embodiment of the invention has not only improved for the accuracy rate of calculating transport information, and when having solved prior art and obtaining transport information through Floating Car, the incomplete problem of the coverage rate of transport information.
Embodiment two
Present embodiment provides a kind of acquisition methods of Traffic Information, and is as shown in Figure 3, and said method comprises:
301, obtain the public bus network data.
Wherein, The circuit table that said public bus network data are all public bus networks, website table and equipment list; Said circuit table comprises circuit ID, line name, website sum, Site ID tabulation, circuit shape; Said website table comprises Site ID, site name, website coordinate, and said equipment list comprises device id, circuit ID.
302, the circuit shape of every public bus network in the said public bus network data and the position of all websites that said public bus network comprises are corresponded on the electronic chart.
As shown in Figure 5, for example, the corresponding road sequence of circuit L1 r1, r2, r3, r4, r5, r6, r7, r8, the corresponding road sequence of website S1 r1, the corresponding road sequence of website S2 r3, the corresponding road sequence of website S3 r6, the corresponding road sequence of website S4 r8.
303,, calculate the length of road sequence between said adjacent sites according to adjacent sites road corresponding sequence on said electronic chart.
Wherein, the road sequence length at website place is the length of the subpoint of website on the road sequence to next bar road sequence.
For example, as shown in Figure 5.Road sequence length between website S1 and the S2 is 650 (100+50+500) rice, and the road sequence length between website S2 and the S3 is 750 (100+50+500+100) rice, and the road sequence length between website S3 and the S4 is 1050 (600+50+400) rice.
304, obtain the consumption data of all-purpose card on all public transport POSs.
Wherein, said consumption data comprises device address ID, circuit ID, Site ID, time, and said device id is unique ID of the POS on the bus.
305, said device id is identical with vehicle ID said consumption data is divided into one group.
Wherein, the said consumption data of same device id put in order by the time, and promptly in the consumption data, charge time is arranged in the front at preceding consumption data.
306, according to the order of each bus website, after the said consumption data arranged in groups with identical device ID and same vehicle ID, time of arrival, the residence time and the time of departure of obtaining each website.
Wherein, Be the minimum time of corresponding all consumption datas of website the time of arrival of said each website, and be the maximum time of all corresponding consumption datas of website the time of departure of said each website, the residence time of calculating each website according to formula wT=dT-aT; Wherein, WT is the residence time of each website, and aT is the time of arrival of each website, and dT is the time of departure of each website.
307, calculate the Average Travel Speed between said adjacent sites according to formula v=L/T.
Wherein, V is the Average Travel Speed between adjacent sites; L is an adjacent sites key road corresponding sequence total length, and T is the running time between revised adjacent sites, T=t-Δ t; T is the running time between adjacent sites before revising, and Δ t is bus the set off time loss difference of accelerator and normal driving of moderating process and bus that enters the station.
308, when at least two public bus networks of same road sequence correspondence, all public bus networks after the Average Travel Speed of same link sequence merges, are obtained the Average Travel Speed after the said fusion.
Present embodiment provides a kind of deriving means of Traffic Information, and is as shown in Figure 4, and said device comprises: set up unit 41, acquiring unit 42, grouped element 43, arrange acquiring unit 44, first computing unit 45, second computing unit 46.
Set up unit 41, be used for setting up the corresponding relation of the road of public bus network and electronic chart.
The said unit 41 of setting up comprises: acquisition module 47, processing module 48, first computing module 49.
Wherein, The circuit table that said public bus network data are all public bus networks, website table and equipment list; Said circuit table comprises circuit ID, line name, website sum, Site ID tabulation, circuit shape; Said website table comprises Site ID, site name, website coordinate, and said equipment list comprises device id, circuit ID.
As shown in Figure 5, for example, the corresponding road sequence of circuit L1 r1, r2, r3, r4, r5, r6, r7, r8, the corresponding road sequence of website S1 r1, the corresponding road sequence of website S2 r3, the corresponding road sequence of website S3 r6, the corresponding road sequence of website S4 r8.
Wherein, the road sequence length at website place is the length of the subpoint of website on the road sequence to next bar road sequence.
For example, as shown in Figure 5.Road sequence length between website S1 and the S2 is 650 (100+50+500) rice, and the road sequence length between website S2 and the S3 is 750 (100+50+500+100) rice, and the road sequence length between website S3 and the S4 is 1050 (600+50+400) rice.
Acquiring unit 42 is used to obtain the consumption data of all-purpose card on all public transport POSs.
Wherein, said consumption data comprises device address ID, circuit ID, Site ID, time, and said device id is unique ID of the POS on the bus.
Grouped element 43 is used for the said consumption data that said device id is identical with vehicle ID and is divided into one group.
Wherein, the said consumption data of same device id put in order by the time, and promptly in the consumption data, charge time is arranged in the front at preceding consumption data.
Arrange acquiring unit 44, be used for order according to each bus website, after the said consumption data arranged in groups with identical device ID and same vehicle ID, time of arrival, the residence time and the time of departure of obtaining each website.
Wherein, Be the minimum time of corresponding all consumption datas of website the time of arrival of said each website, and be the maximum time of all corresponding consumption datas of website the time of departure of said each website, the residence time of calculating each website according to formula wT=dT-aT; Wherein, WT is the residence time of each website, and aT is the time of arrival of each website, and dT is the time of departure of each website.
Said first computing unit 45 comprises: second computing module 410, handle acquisition module 411.
Wherein, V is the Average Travel Speed between adjacent sites; L is an adjacent sites key road corresponding sequence total length, and T is the running time between revised adjacent sites, T=t-Δ t; T is the running time between adjacent sites before revising, and Δ t is bus the set off time loss difference of accelerator and normal driving of moderating process and bus that enters the station.
Handle acquisition module 411, be used for when at least two public bus networks of same road sequence correspondence, all public bus networks after the Average Travel Speed of same link sequence merges, are obtained the Average Travel Speed after the said fusion.
The acquisition methods of the Traffic Information that the embodiment of the invention provides and device at first correspond to public bus network on the electronic chart, according to the card using information of all-purpose card, calculate the effective running time between adjacent sites then; Last according to effective running time and with said effective running time road corresponding sequence length, calculate road average hourage.The embodiment of the invention has not only improved for the accuracy rate of calculating transport information, and when having solved prior art and obtaining transport information through Floating Car, the incomplete problem of the coverage rate of transport information.
The deriving means of the Traffic Information that the embodiment of the invention provides can be realized the above-mentioned method embodiment that provides, and concrete function is realized seeing also the explanation among the method embodiment, repeats no more at this.The acquisition methods of the Traffic Information that the embodiment of the invention provides and device go for the intelligent transportation system field, but are not limited only to this.
One of ordinary skill in the art will appreciate that all or part of flow process that realizes in the foregoing description method; Be to instruct relevant hardware to accomplish through computer program; Described program can be stored in the computer read/write memory medium; This program can comprise the flow process like the embodiment of above-mentioned each side method when carrying out.Wherein, described storage medium can be magnetic disc, CD, read-only storage memory body (Read-Only Memory, ROM) or at random store memory body (Random Access Memory, RAM) etc.
The above; Be merely embodiment of the present invention, but protection scope of the present invention is not limited thereto, any technician who is familiar with the present technique field is in the technical scope that the present invention discloses; The variation that can expect easily or replacement all should be encompassed within protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion with the protection domain of claim.
Claims (10)
1. the acquisition methods of a Traffic Information is characterized in that, comprising:
Set up the corresponding relation of the road in public bus network and the electronic chart, said corresponding relation is the position relation of distance, path, website and road starting point between the same public bus network adjacent sites;
Obtain the consumption data of all-purpose card on all public transport POSs, said consumption data comprises device address ID, circuit ID, Site ID, time, and said device id is unique ID of the POS on the bus;
The said consumption data that said device id is identical with vehicle ID is divided into one group, and wherein, the said consumption data of same device id put in order by the time;
According to the order of each bus website, after the said consumption data arranged in groups with identical device ID and same vehicle ID, time of arrival, the residence time and the time of departure of obtaining each website;
According to working time of departure of sailing website and the time of arrival that stops website in the adjacent sites, and, calculate the Average Travel Speed between adjacent sites according to adjacent sites road corresponding total length in the said corresponding relation.
2. the acquisition methods of Traffic Information according to claim 1; It is characterized in that; The said corresponding relation of setting up the road in public bus network and the electronic chart, said corresponding relation are that the position relation of distance, path, website and road starting point between the same public bus network adjacent sites comprises:
Obtain the public bus network data; The circuit table that said public bus network data are all public bus networks, website table and equipment list; Said circuit table comprises circuit ID, line name, website sum, Site ID tabulation, circuit shape; Said website table comprises Site ID, site name, website coordinate, and said equipment list comprises device id, circuit ID;
The circuit shape of every public bus network in the said public bus network data and the position of all websites that said public bus network comprises are corresponded on the electronic chart;
According to adjacent sites road corresponding sequence on said electronic chart, calculate the length of road sequence between said adjacent sites.
3. the acquisition methods of Traffic Information according to claim 1 is characterized in that, be the minimum time of corresponding all consumption datas of website the time of arrival of said each website;
Be the maximum time of all corresponding consumption datas of website the time of departure of said each website.
4. the acquisition methods of Traffic Information according to claim 1 is characterized in that, also comprises:
According to the residence time that formula wT=dT-aT calculates each website, wherein, wT is the residence time of each website, and aT is the time of arrival of each website, and dT is the time of departure of each website.
5. the acquisition methods of Traffic Information according to claim 1; It is characterized in that; Said according to working the time of departure of sailing website and the time of arrival that stops website in the adjacent sites; And according to adjacent sites road corresponding total length in the said corresponding relation, the Average Travel Speed that calculates between adjacent sites comprises:
Calculate the Average Travel Speed between said adjacent sites according to formula v=L/T; Wherein v is the Average Travel Speed between adjacent sites; L is an adjacent sites key road corresponding sequence total length, and T is the running time between revised adjacent sites, T=t-Δ t; T is the running time between adjacent sites before revising, and Δ t is bus the set off time loss difference of accelerator and normal driving of moderating process and bus that enters the station.
6. the acquisition methods of Traffic Information according to claim 5 is characterized in that, also comprises:
When at least two public bus networks of same road sequence correspondence, all public bus networks after the Average Travel Speed of same link sequence merges, are obtained the Average Travel Speed after the said fusion.
7. the deriving means of a Traffic Information is characterized in that, comprising:
Set up the unit, be used for setting up the corresponding relation of the road of public bus network and electronic chart, said corresponding relation is the position relation of distance, path, website and road starting point between the same public bus network adjacent sites;
Acquiring unit is used to obtain the consumption data of all-purpose card on all public transport POSs, and said consumption data comprises device address ID, circuit ID, Site ID, time, and said device id is unique ID of the POS on the bus;
Grouped element is used for the said consumption data that said device id is identical with vehicle ID and is divided into one group, and wherein, the said consumption data of same device id put in order by the time;
Arrange acquiring unit, be used for order according to each bus website, after the said consumption data arranged in groups with identical device ID and same vehicle ID, time of arrival, the residence time and the time of departure of obtaining each website;
First computing unit is used for working the time of departure of sailing website and the time of arrival that stops website according to adjacent sites, and according to adjacent sites road corresponding total length in the said corresponding relation, calculates the Average Travel Speed between adjacent sites.
8. the deriving means of Traffic Information according to claim 7 is characterized in that, the said unit of setting up comprises:
Acquisition module; Be used to obtain the public bus network data; The circuit table that said public bus network data are all public bus networks, website table and equipment list; Said circuit table comprises circuit ID, line name, website sum, Site ID tabulation, circuit shape, and said website table comprises Site ID, site name, website coordinate, and said equipment list comprises device id, circuit ID;
Processing module, the position that is used for all websites that circuit shape and said public bus network with every public bus network of said public bus network data comprise corresponds to electronic chart;
First computing module is used for calculating the length of road sequence between said adjacent sites according to adjacent sites road corresponding sequence on said electronic chart.
9. the deriving means of Traffic Information according to claim 7 is characterized in that, also comprises:
Second computing unit is used for the residence time according to each website of formula wT=dT-aT calculating, and wherein, wT is the residence time of each website, and aT is the time of arrival of each website, and dT is the time of departure of each website.
10. the deriving means of Traffic Information according to claim 7 is characterized in that, said first computing unit comprises:
Second computing module; Be used for calculating the Average Travel Speed between said adjacent sites according to formula v=L/T, wherein v is the Average Travel Speed between adjacent sites, and L is an adjacent sites key road corresponding sequence total length; T is the running time between revised adjacent sites; T=t-Δ t, t is the running time between adjacent sites before revising, Δ t is bus the set off time loss difference of accelerator and normal driving of moderating process and bus that enters the station;
Handle acquisition module, be used for when at least two public bus networks of same road sequence correspondence, all public bus networks after the Average Travel Speed of same link sequence merges, are obtained the Average Travel Speed after the said fusion.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201110409942.1A CN102496277B (en) | 2011-12-09 | 2011-12-09 | Method and device for acquiring road traffic information |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201110409942.1A CN102496277B (en) | 2011-12-09 | 2011-12-09 | Method and device for acquiring road traffic information |
Publications (2)
Publication Number | Publication Date |
---|---|
CN102496277A true CN102496277A (en) | 2012-06-13 |
CN102496277B CN102496277B (en) | 2014-01-29 |
Family
ID=46188096
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201110409942.1A Active CN102496277B (en) | 2011-12-09 | 2011-12-09 | Method and device for acquiring road traffic information |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN102496277B (en) |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104766473A (en) * | 2015-02-09 | 2015-07-08 | 北京工业大学 | Traffic trip feature extraction method based on multi-mode public transport data matching |
CN107103756A (en) * | 2017-06-19 | 2017-08-29 | 南京理工大学 | Congestion in road degree judgment means and method based on the public transport operation time |
CN107798865A (en) * | 2016-09-07 | 2018-03-13 | 高德信息技术有限公司 | A kind of public bus network running time predictor method and device |
CN108922187A (en) * | 2018-07-20 | 2018-11-30 | 肖哲睿 | A kind of intelligent transportation system |
CN111667689A (en) * | 2020-05-06 | 2020-09-15 | 浙江师范大学 | Method, device and computer device for predicting vehicle travel time |
CN111932926A (en) * | 2020-09-22 | 2020-11-13 | 深圳市都市交通规划设计研究院有限公司 | Method and system for calculating station stop time |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2010023568A2 (en) * | 2008-08-27 | 2010-03-04 | Waze Mobile Ltd. | System and method for road map creation |
CN101794516A (en) * | 2009-12-25 | 2010-08-04 | 北京工业大学 | Mobile phone information based section speed calculation method |
CN102097004A (en) * | 2011-01-31 | 2011-06-15 | 上海美慧软件有限公司 | Mobile phone positioning data-based traveling origin-destination (OD) matrix acquisition method |
WO2011072753A1 (en) * | 2009-12-18 | 2011-06-23 | Tomtom International B.V. | Traffic analysis based on historical global positioning system data |
-
2011
- 2011-12-09 CN CN201110409942.1A patent/CN102496277B/en active Active
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2010023568A2 (en) * | 2008-08-27 | 2010-03-04 | Waze Mobile Ltd. | System and method for road map creation |
WO2011072753A1 (en) * | 2009-12-18 | 2011-06-23 | Tomtom International B.V. | Traffic analysis based on historical global positioning system data |
CN101794516A (en) * | 2009-12-25 | 2010-08-04 | 北京工业大学 | Mobile phone information based section speed calculation method |
CN102097004A (en) * | 2011-01-31 | 2011-06-15 | 上海美慧软件有限公司 | Mobile phone positioning data-based traveling origin-destination (OD) matrix acquisition method |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104766473A (en) * | 2015-02-09 | 2015-07-08 | 北京工业大学 | Traffic trip feature extraction method based on multi-mode public transport data matching |
CN104766473B (en) * | 2015-02-09 | 2019-10-18 | 北京工业大学 | Transit trip feature extracting method based on multi-mode public transport Data Matching |
CN107798865A (en) * | 2016-09-07 | 2018-03-13 | 高德信息技术有限公司 | A kind of public bus network running time predictor method and device |
CN107103756A (en) * | 2017-06-19 | 2017-08-29 | 南京理工大学 | Congestion in road degree judgment means and method based on the public transport operation time |
CN108922187A (en) * | 2018-07-20 | 2018-11-30 | 肖哲睿 | A kind of intelligent transportation system |
CN111667689A (en) * | 2020-05-06 | 2020-09-15 | 浙江师范大学 | Method, device and computer device for predicting vehicle travel time |
CN111932926A (en) * | 2020-09-22 | 2020-11-13 | 深圳市都市交通规划设计研究院有限公司 | Method and system for calculating station stop time |
Also Published As
Publication number | Publication date |
---|---|
CN102496277B (en) | 2014-01-29 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN103177575B (en) | System and method for dynamically optimizing online dispatching of urban taxies | |
CN104064024B (en) | A kind of public transit vehicle arrival time Forecasting Methodology based on historical data | |
CN102496277B (en) | Method and device for acquiring road traffic information | |
CN106323321A (en) | Vehicle navigation real-time correction method and vehicle navigation real-time correction system | |
CN103337189A (en) | Dynamic road segment division based vehicle route guidance method | |
CN102795248A (en) | System for dynamically tracking and monitoring train running based on precise satellite positioning | |
CN102750826B (en) | Identification method of driver response behaviors under group induction information | |
CN101964148A (en) | Road traffic information recording server and GPS (Global Positioning System) user terminal | |
CN102506861A (en) | Travel information processing method and device | |
CN105096643A (en) | Real-time bus arrival time prediction method based on operation data of former buses in multiple lines | |
CN103021221A (en) | Simulation system and simulation method for virtual driving behavior of drivers of subway trains | |
CN107270921A (en) | A kind of generation dimension polling path method and device for planning | |
CN104424812A (en) | Bus arrival time prediction system and method | |
CN102610091B (en) | Method and device for acquiring travelling service information | |
CN104966408A (en) | GPS positioning data compensation method | |
CN115063978B (en) | Bus arrival time prediction method based on digital twins | |
CN105528401A (en) | Bus information inquiry method and apparatus | |
CN110136469A (en) | The compensation method of the running data of bus and device | |
CN101807348B (en) | Dynamic network navigation system and method | |
CN202728266U (en) | Train driving dynamic tracking and monitoring system based on satellite accurate positioning | |
CN104613974A (en) | Navigation time acquisition method and system, navigation method and device | |
Sotelo et al. | Introduction to the special issue on emergent cooperative technologies in intelligent transportation systems | |
CN102568207A (en) | Traffic data processing method and device | |
CN102592446A (en) | Method for computing intercity road travel time by using floating car locating data | |
CN101794510A (en) | Data processing method and device of floating cars |
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 |