期刊
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES
卷 7, 期 2, 页码 186-197出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIV.2021.3096993
关键词
Schedules; Delays; Optimal scheduling; Optimal control; Merging; Fuels; Scheduling; Platoons coordination; intersection control; connected and automated vehicles
类别
资金
- National Institute of Technology, Tiruchirappalli, India
- ARPAE's NEXTCAR program [DE-AR0000796]
- Delaware Energy Institute (DEI)
This paper addresses the problem of coordinating platoons of connected and automated vehicles crossing a signal-free intersection. A decentralized, two-level optimal framework is proposed to minimize travel delay and fuel consumption. The effectiveness of the framework is validated in simulation with significant improvements compared to baseline scenarios.
In this paper, we address the problem of coordinating platoons of connected and automated vehicles crossing a signal-free intersection. We present a decentralized, two-level optimal framework to coordinate the platoons with the objective to minimize travel delay and fuel consumption of every platoon crossing the intersection. At the upper-level, each platoon leader derives a proven optimal schedule to enter the intersection. At the low-level, the platoon leader derives their optimal control input (acceleration/deceleration) for the optimal schedule derived in the upper-level. We validate the effectiveness of the proposed framework in simulation and show significant improvements both in travel delay and fuel consumption compared to the baseline scenarios where platoons enter the intersection based on first-come-first-serve and longest queue first - maximum weight matching scheduling algorithms.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据