Speed Harmonization Algorithm Using Connected Autonomous Vehicles
Freeway bottlenecks often cause traffic capacity drops and speed oscillations that not only compromise traffic performance at the bottlenecks but also likely propagate far backward to break down the upstream traffic. The adverse impacts of bottlenecks include more travel delay, excessive fuel consumption and emissions, and extra safety risks. With the advent of connected and automated vehicles (CAV) technologies, one can control detailed vehicle trajectory shapes within sensing, communication, computation, and physical limits. In this study, a CAV-based trajectory-smoothing concept is proposed to harmonize traffic and improve mobility and environmental impacts. The presented algorithm is applicable to mixed-traffic environments where only a portion of vehicles are CAVs. Simulation analyses are performed to assess the algorithm performance. The results show significant improvement in traffic throughput as well as in fuel consumption and emissions.
-
Supplemental Notes:
- This paper was sponsored by TRB committee AHB45 Standing Committee on Traffic Flow Theory and Characteristics.
-
Corporate Authors:
500 Fifth Street, NW
Washington, DC United States 20001 -
Authors:
- Ghiasi, Amir
-
0000-0002-0986-9840
- Ma, Jiaqi
-
0000-0002-8184-5157
- Zhou, Fang
- Li, Xiaopeng
-
Conference:
- Transportation Research Board 96th Annual Meeting
- Location: Washington DC, United States
- Date: 2017-1-8 to 2017-1-12
- Date: 2017
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References;
- Pagination: 17p
- Monograph Title: TRB 96th Annual Meeting Compendium of Papers
Subject/Index Terms
- TRT Terms: Algorithms; Bottlenecks; Mobile communication systems; Traffic flow; Traffic speed; Vehicle mix; Vehicle trajectories
- Subject Areas: Highways; Operations and Traffic Management;
Filing Info
- Accession Number: 01632162
- Record Type: Publication
- Report/Paper Numbers: 17-02565
- Files: TRIS, TRB, ATRI
- Created Date: Apr 5 2017 9:57AM