期刊
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
卷 144, 期 -, 页码 -出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.trc.2022.103876
关键词
Eco-driving algorithm; Advisory speed limit; Signalized intersection; Connected vehicle; Traffic throughput; Fuel consumption
资金
- State of California
- UC-ITS Multi-Campus Research Program and Initiative on Sustainable Transportation (MRPI)
- Inha University
- Institute of Information & communications Technology Planning &Evaluation (IITP) - Korea government (MSIT) [RS-2022-00155915]
This paper proposes an eco-driving algorithm based on connected vehicle technologies to improve the efficiency of traffic signals at signalized intersections. By adjusting vehicle speeds and signal timings, the algorithm can increase throughput and reduce fuel consumption, responding to real-time traffic conditions.
Efficient operations of traffic signals are of critical importance in urban areas, as signalized intersections prevent the smooth flow of traffic and cause delays. This paper devises an eco-driving algorithm based on connected vehicle technologies, with basic kinematic wave and car-following models. The objectives of the proposed algorithm are to increase the throughput of signal intersections and decrease fuel consumption. Specifically, we focus on a signalized intersection under mixed traffic flows with connected and autonomous vehicles (AVs) and human-driven vehicles (HVs). Through the proposed algorithm, the vehicle speeds at the intersection (i.e., the intersection control speed) and signal timings can be adjusted in response to the real-time traffic conditions. According to the signal timing and the speed at the intersection, the algorithm estimates the time points of each vehicle entering the intersection. An advisory speed limit approach is formulated for each AV, making the vehicle enter the intersection at the allocated timing with the control speed. An onboard alert is set for each HV to stop or pass through. The algorithm is evaluated under various market penetration rates of AVs, different congestion levels, and with signal actuation. The results indicate that the eco-driving algorithm can increase the throughput and average travel speed at signalized intersections in addition to gaining fuel savings.
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