Queue-based Eco-Driving at Roundabouts with Reinforcement Learning

arXiv:2405.00625v1 Announce Type: new
Abstract: We address eco-driving at roundabouts in mixed traffic to enhance traffic flow and traffic efficiency in urban areas. The aim is to proactively optimize speed of automated or non-automated connected vehicles (CVs), ensuring both an efficient approach and smooth entry into roundabouts. We incorporate the traffic situation ahead, i.e. preceding vehicles and waiting queues. Further, we develop two approaches: a rule-based and an Reinforcement Learning (RL) based eco-driving system, with both using the approach link …

abstract aim arxiv automated cs.lg cvs driving efficiency flow mixed queue reinforcement reinforcement learning speed traffic type urban vehicles