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Anonymous Vehicle Tracking for Real-time Traffic Surveillance and Performance on Signalized Arterials

Title
Anonymous Vehicle Tracking for Real-time Traffic Surveillance and Performance on Signalized Arterials
Author
오철
Keywords
vehicle signature; detector; sensor; inductive loop; vehicle classification; vehicle reidentification; testbed; freeway; signalized intersection; level of service; detector card; search space reduction; microscopic simulation
Issue Date
2003-01
Publisher
University of California
Citation
California Partners for Advanced Transportation Technology 2005 Research Reports
Abstract
One of the fundamental requirements for facilitating implementation of any advanced transportation management and information system (ATMIS) is the development of a real-time traffic surveillance system able to produce reliable and accurate traffic performance measures. This study presents a new framework for anonymous vehicle tracking capable of tracing individual vehicles by the vehicle features. The core part of the proposed vehicle tracking method is a vehicle reidentification algorithm for signalized intersections based on inductive vehicle signatures. The new vehicle reidentification system consists of two major components: search space reduction and probabilistic pattern recognition. Not only real-time intersection performance but also intersection origin-destination information can be obtained as the algorithms basic output. A systematic simulation investigation was conducted of the performance and feasibility of anonymous vehicle tracking on signalized arterials using the Paramics simulation model. Extensive research experience with vehicle reidentification techniques on single roadway segments was the basis for investigating the performance that could be obtained from tracking individual vehicles across multiple detector stations. The findings of this study serve as a logical and necessary precursor to possible field implementation of vehicle reidentification techniques. The proposed anonymous vehicle tracking methodology with existing traffic surveillance infrastructure would be an invaluable tool for operating agencies in support of ATMIS strategies for congestion monitoring, adaptive traffic control, system evaluation, and provision of real-time traveler information.
URI
https://escholarship.org/uc/item/50c6z6zhhttps://repository.hanyang.ac.kr/handle/20.500.11754/155380
ISSN
1055-1425
Appears in Collections:
COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > TRANSPORTATION AND LOGISTICS ENGINEERING(교통·물류공학과) > Articles
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