Chapter
Apr 26, 2012
Automated Traffic Pattern Identification Algorithms for Freeways Based on 3GS Technologies
Authors: Zhili Cai [email protected], Guiyan Jiang, Longhui Gang, and Qiushi DingAuthor Affiliations
Publication: International Conference on Transportation Engineering 2007
Abstract
Aiming at traffic patterns on freeways, an Automated Traffic Pattern Identification (ATPI) algorithm is proposed based on GPS, GIS and GPRS (3GS) technologies which include in-vehicle module and centralized module corresponding to the different information transformation modes of event-response feedback and real-time feedback respectively. The former can be used to detect accidents related to Floating Car (FC), and the latter can be used to detect all kinds of congestions where FCs passing through. The simulation tests indicate that the proposed algorithm can be used to identify the position, types and phases of congestions, the head and the end of the queues as well as the accidents not inducing congestion under lower volume.
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Information
Published In
International Conference on Transportation Engineering 2007
Pages: 3971 - 3977
Copyright
© 2007 American Society of Civil Engineers.
History
Published online: Apr 26, 2012
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ASCE Technical Topics:
- Algorithms
- Automatic identification systems
- Communication systems
- Detection methods
- Engineering fundamentals
- Geographic information systems
- Geomatics
- Highway and road management
- Highway transportation
- Highways and roads
- Infrastructure
- Lifeline systems
- Mathematics
- Methodology (by type)
- Surveying methods
- Traffic accidents
- Traffic engineering
- Traffic management
- Transportation engineering
- Vehicles
Authors
Affiliations
Traffic Information Laboratory, College of Transportation, Jilin University, P.R. China, Changchun City. E-mail: [email protected]
Guiyan Jiang
Traffic Information Laboratory, College of Transportation, Jilin University, P.R. China, Changchun City
Longhui Gang
Traffic Information Laboratory, College of Transportation, Jilin University, P.R. China, Changchun City
Qiushi Ding
Traffic Information Laboratory, College of Transportation, Jilin University, P.R. China, Changchun City
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