Eco-driving Trajectory Planning of a Heterogeneous Platoon in Urban Environments
Hao Zhen, Sahand Mosharafian, Jidong J. Yang, Javad Mohammadpour Velni

TL;DR
This paper introduces an eco-driving trajectory planning method for heterogeneous electric vehicle platoons in urban environments, optimizing energy use, mobility, and comfort while enabling intersection crossing without stops.
Contribution
It proposes a novel control strategy combining dynamic programming and cooperative adaptive cruise control for heterogeneous EV platoons in urban settings.
Findings
Energy consumption reduced in simulations
Platoon maintains mobility and passenger comfort
Vehicles can pass intersections without stopping
Abstract
Given the increasing popularity and demand for connected and autonomous vehicles (CAVs), Eco-driving and platooning in highways and urban areas to increase the efficiency of the traffic system is becoming a possibility. This paper presents Eco-driving trajectory planning for a platoon of heterogeneous electric vehicles (EVs) in urban environments. The proposed control strategy for the platoon considers energy consumption, mobility and passenger comfort, with which vehicles may pass signalized intersections with no stops. For a given urban route, first, the platoon's leader vehicle employs dynamic programming (DP) to plan a trajectory for the anticipated path with the aim of balancing energy consumption, mobility and passenger comfort. Then, every other following CAV in the platoon either follows its preceding vehicle using a PID-based cooperative adaptive cruise control or plans its own…
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
TopicsTraffic control and management · Transportation Planning and Optimization · Vehicle emissions and performance
