Exploring the effects of cooperative adaptive cruise control on highway traffic flow using microscopic traffic simulation
This paper examines the impact of having cooperative adaptive cruise control (CACC) embedded vehicles on traffic flow characteristics of a multilane highway system. The study identifies how CACC vehicles affect the dynamics of traffic flow on a complex network and reduce traffic congestion resulting from the acceleration/deceleration of the operating vehicles. An agent-based microscopic traffic simulation model (Flexible Agent-based Simulator of Traffic) is designed specifically to examine the impact of these intelligent vehicles on traffic flow. The flow rate of cars, the travel time spent, and other metrics indicating the evolution of traffic congestion throughout the lifecycle of the model are analyzed. Different CACC penetration levels are studied. The results indicate a better traffic flow performance and higher capacity in the case of CACC penetration compared to the scenario without CACC-embedded vehicles.
- Record URL:
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/oclc/1767712
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Supplemental Notes:
- Abstract reprinted with permission of Taylor & Francis
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Authors:
- Arnaout, Georges M
- Arnaout, Jean-Paul
- Publication Date: 2014-2
Language
- English
Media Info
- Media Type: Web
- Pagination: pp 186-199
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Serial:
- Transportation Planning and Technology
- Volume: 37
- Issue Number: 2
- Publisher: Taylor & Francis
- ISSN: 0308-1060
- Serial URL: https://www.tandfonline.com/toc/gtpt20/current
Subject/Index Terms
- TRT Terms: Autonomous intelligent cruise control; Intelligent transportation systems; Intelligent vehicles; Traffic congestion; Traffic flow; Traffic simulation
- Subject Areas: Highways; Operations and Traffic Management; Vehicles and Equipment; I73: Traffic Control; I90: Vehicles;
Filing Info
- Accession Number: 01523007
- Record Type: Publication
- Files: TRIS
- Created Date: Apr 24 2014 11:45AM