Research on signalized intersection mixed traffic flow platoon control method considering Backward-looking effect
Binghao Feng, Hui Guo, Minghui Ma, Yuepeng Wu, Shidong Liang, Yansong, Wang

TL;DR
This paper introduces a novel mixed platoon control method for signalized intersections that accounts for backward-looking effects, improving traffic efficiency and fuel economy in mixed CAV and HDV traffic.
Contribution
It proposes a new 1+n+1 mixed platoon model with backward-looking effect and develops an optimal control framework for intersection management.
Findings
Considering backward-looking effects improves vehicle throughput.
The proposed method reduces fuel consumption compared to traditional control.
Numerical simulations validate the effectiveness of the new control strategy.
Abstract
Connected and Autonomous Vehicles (CAVs) technology facilitates the advancement of intelligent transportation. However, intelligent control techniques for mixed traffic flow at signalized intersections involving both CAVs and Human-Driven Vehicles (HDVs) require further investigation into the impact of backward-looking effect. This paper proposes the concept of 1+n+1 mixed platoon considering the backward-looking effect, consisting of one leading CAV, n following HDVs, and one trailing CAV. The leading and trailing CAVs collectively guide the movement of intermediate HDVs at intersections, forming an optimal control framework for platoon-based CAVs at signalized intersections. Initially, a linearized dynamic model for the 1+n+1 mixed platoon is established and compared with a benchmark model focusing solely on controlling the lead vehicle. Subsequently, constraints are formulated for…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSimulation and Modeling Applications · Evaluation Methods in Various Fields · Advanced Decision-Making Techniques
