GB2569924A8 - Travel time distribution-based multimodal traffic anomaly detection method - Google Patents
Travel time distribution-based multimodal traffic anomaly detection method Download PDFInfo
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- GB2569924A8 GB2569924A8 GB1905907.0A GB201905907A GB2569924A8 GB 2569924 A8 GB2569924 A8 GB 2569924A8 GB 201905907 A GB201905907 A GB 201905907A GB 2569924 A8 GB2569924 A8 GB 2569924A8
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- traffic
- travel time
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Classifications
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
- G08G1/0112—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from the vehicle, e.g. floating car data [FCD]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
- G08G1/0129—Traffic data processing for creating historical data or processing based on historical data
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
- G08G1/0133—Traffic data processing for classifying traffic situation
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
- G08G1/0141—Measuring and analyzing of parameters relative to traffic conditions for specific applications for traffic information dissemination
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- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- General Engineering & Computer Science (AREA)
- Traffic Control Systems (AREA)
Abstract
A travel time distribution-based multi-modal traffic anomaly detection method. In the method, spatial positioning information at various points in time is acquired by means of on-board GNSS positioning devices in floating vehicles, and large amounts of tracking information from said floating vehicles are analyzed and mined in order to achieve smart detection of traffic anomalies and incidents on city roads. The detection method uses travel time probability distribution to represent the state of traffic, and uses measurement indicators for differences in probability distribution to reflect differences between states of traffic. Differences between states of traffic under various environmental states are also taken into consideration. The principles of the method are clear, and the method is easy to carry out and yields a high detection rate.
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
GB2100341.3A GB2587588B (en) | 2016-12-30 | 2017-12-30 | A method for detecting traffic anomaly with non-equidistant spatial-temporal division based on peak hour traffic flow rate |
GB2100340.5A GB2588556B (en) | 2016-12-30 | 2017-12-30 | A method for detecting traffic anomaly based on travel time distribution with equidistant spatial-temporal division |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
PCT/IB2016/058105 WO2018122585A1 (en) | 2016-12-30 | 2016-12-30 | Method for urban road traffic incident detecting based on floating-car data |
PCT/IB2017/058536 WO2018122806A1 (en) | 2016-12-30 | 2017-12-30 | Travel time distribtuion-based multimodal traffic anomaly detection method |
Publications (4)
Publication Number | Publication Date |
---|---|
GB201905907D0 GB201905907D0 (en) | 2019-06-12 |
GB2569924A GB2569924A (en) | 2019-07-03 |
GB2569924A8 true GB2569924A8 (en) | 2021-01-27 |
GB2569924B GB2569924B (en) | 2021-02-24 |
Family
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GBGB1711408.3A Ceased GB201711408D0 (en) | 2016-12-30 | 2016-12-30 | Early entry |
GBGB1909406.9A Ceased GB201909406D0 (en) | 2016-12-30 | 2017-12-30 | Multimodal road traffic anomaly detection method |
GB2100341.3A Active GB2587588B (en) | 2016-12-30 | 2017-12-30 | A method for detecting traffic anomaly with non-equidistant spatial-temporal division based on peak hour traffic flow rate |
GB1909405.1A Active GB2572717B (en) | 2016-12-30 | 2017-12-30 | A Method for Urban Traffic Incident Detecting |
GBGB1909408.5A Ceased GB201909408D0 (en) | 2016-12-30 | 2017-12-30 | Road traffic anomaly detection method using non-isometric time/space divison |
GB2009834.9A Active GB2582532B (en) | 2016-12-30 | 2017-12-30 | Method for detecting traffic anomaly of urban road based on peak hour traffic flow rate |
GBGB1909407.7A Ceased GB201909407D0 (en) | 2016-12-30 | 2017-12-30 | Multimodal road traffic anomaly detection method |
GBGB1909409.3A Ceased GB201909409D0 (en) | 2016-12-30 | 2017-12-30 | Traffic anomaly detection method based on time distribution of travels |
GB2009833.1A Active GB2582531B (en) | 2016-12-30 | 2017-12-30 | Method for detecting traffic anomally of urban road with equidistant spatial-temporal division |
GB1905907.0A Active GB2569924B (en) | 2016-12-30 | 2017-12-30 | Travel time distribution-based multimodal traffic anomaly detection method |
GB2100340.5A Active GB2588556B (en) | 2016-12-30 | 2017-12-30 | A method for detecting traffic anomaly based on travel time distribution with equidistant spatial-temporal division |
Family Applications Before (9)
Application Number | Title | Priority Date | Filing Date |
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GBGB1711408.3A Ceased GB201711408D0 (en) | 2016-12-30 | 2016-12-30 | Early entry |
GBGB1909406.9A Ceased GB201909406D0 (en) | 2016-12-30 | 2017-12-30 | Multimodal road traffic anomaly detection method |
GB2100341.3A Active GB2587588B (en) | 2016-12-30 | 2017-12-30 | A method for detecting traffic anomaly with non-equidistant spatial-temporal division based on peak hour traffic flow rate |
GB1909405.1A Active GB2572717B (en) | 2016-12-30 | 2017-12-30 | A Method for Urban Traffic Incident Detecting |
GBGB1909408.5A Ceased GB201909408D0 (en) | 2016-12-30 | 2017-12-30 | Road traffic anomaly detection method using non-isometric time/space divison |
GB2009834.9A Active GB2582532B (en) | 2016-12-30 | 2017-12-30 | Method for detecting traffic anomaly of urban road based on peak hour traffic flow rate |
GBGB1909407.7A Ceased GB201909407D0 (en) | 2016-12-30 | 2017-12-30 | Multimodal road traffic anomaly detection method |
GBGB1909409.3A Ceased GB201909409D0 (en) | 2016-12-30 | 2017-12-30 | Traffic anomaly detection method based on time distribution of travels |
GB2009833.1A Active GB2582531B (en) | 2016-12-30 | 2017-12-30 | Method for detecting traffic anomally of urban road with equidistant spatial-temporal division |
Family Applications After (1)
Application Number | Title | Priority Date | Filing Date |
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GB2100340.5A Active GB2588556B (en) | 2016-12-30 | 2017-12-30 | A method for detecting traffic anomaly based on travel time distribution with equidistant spatial-temporal division |
Country Status (3)
Country | Link |
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CN (7) | CN109923595B (en) |
GB (11) | GB201711408D0 (en) |
WO (7) | WO2018122585A1 (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP3912150A4 (en) * | 2019-01-15 | 2022-03-16 | Waycare Technologies Ltd. | System and method for detection and quantification of irregular traffic congestion |
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