Exploring the effects of connected and automated vehicles at fixed and actuated signalized intersections with different market penetration rates
To investigate the effects of different market penetration rates (MPRs) of intelligent vehicles – Intelligent Driving Model (IDM) for autonomous vehicles (AVs), Adaptive Cruise Control (ACC) for AVs, and Cooperative Adaptive Cruise Control (CACC) for connected and automated vehicles (CAVs) – in mixed traffic flows with human driving vehicles (HDVs) at intersections, three signalized intersections (fixed signal, gap-based actuated signal, and delay-based actuated signal-controlled intersections) with low, medium, and high traffic demands are investigated. The simulation results indicate that CAVs with the CACC system outperform AVs with ACC or IDM systems and could reduce the average delay under low and high demand scenarios by 49% to 96%. CAVs with the CACC system could also significantly reduce average delay with a 20% MPR, while significant drops could only be observed after 60% and 80% MPRs for AVs with the ACC/IDM system. Gap-based and delay-based actuated signal control schemes are preferred under medium traffic flow demand, and CACC/ACC systems could significantly improve the performance of actuated signal-controlled intersections under high traffic flow demand.
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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:
- This material is published by permission of the Center for Advanced Multimodal Mobility Solutions and Education, operated by University of North Carolina at Charlotte for the U.S. Department of Transportation under Contract No. 69A3551747133. The US Government retains for itself, and others acting on its behalf, a paid-up, non-exclusive, and irrevocable worldwide license in said article to reproduce, prepare derivative works, distribute copies to the public, and perform publicly and display publicly, by or on behalf of the Government. Abstract reprinted with permission of Taylor & Francis.
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Authors:
- Song, Li
- Fan, Wei (David)
- Liu, Pengfei
- Publication Date: 2021-8
Language
- English
Media Info
- Media Type: Web
- Pagination: pp 577-593
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Serial:
- Transportation Planning and Technology
- Volume: 44
- Issue Number: 6
- Publisher: Taylor & Francis
- ISSN: 0308-1060
- Serial URL: https://www.tandfonline.com/toc/gtpt20/current
Subject/Index Terms
- TRT Terms: Actuated traffic signal controllers; Connected vehicles; Intelligent vehicles; Market penetration; Signalized intersections
- Subject Areas: Highways; Operations and Traffic Management;
Filing Info
- Accession Number: 01777917
- Record Type: Publication
- Files: TRIS
- Created Date: Jul 27 2021 3:59PM