Demand-for graph evaluation of traffic congestion due to Altruistic Lane Changes of CAVs

The development of automated driving technology is expected to reduce traffic congestion. It is necessary to consider the impact that vehicle control of connected automated vehicles (CAVs) has on the overall traffic flow in situations where automated and manually driven vehicles are mixed. In this paper, we represent the traffic flow as an asymmetric simple exclusion process (ASEP) network exploration of multi-agent systems to evaluate the traffic congestion due to the altruistic lane changing of CAVs. To evaluate the congestion, we propose a new method of representing traffic congestion, the Demand-for graph, which represents the action demands among agents. By expressing the demand for altruistic lane changes, deceleration, and acceleration in a demand-for graph, we can evaluate the scale of traffic congestion due to lane changes and the reduction speed of the congestion.