先行車情報の共有が自然渋滞に与える影響の解析

Nagel-Schreckenberg Modelの一般化

抄録

In this paper, we introduce an intelligent vehicle in traffic flow where a phantom traffic jam occurs for ensuring traffic-flow stability. The intelligent vehicle shares information on the speed and gap of the leading vehicle. Furthermore, the intelligent vehicle can foresee changes in the leading vehicles through shared information and can start accelerating faster than human-driven vehicles can. We propose an intelligent vehicle model, which is a generalized Nagel-Schreckenberg model can arbitrarily set the number of leading vehicles to share information with and set maximum distance of inter-vehicle communication. We found that phantom traffic jams are suppressed by an intelligent vehicle that can share information with two or more vehicles in front and information at least 30 meters away.