A link-based semi-dynamic user equilibrium traffic assignment model considering signal effect

Abstract

In most cities, traffic conditions vary significantly during the day. A static traffic assignment model may not adequately represent time-dependent congestion phenomena in traffic network analysis. Moreover, a dynamic traffic assignment model is too complex and is computationally intensive. As effective alternatives, various semi-dynamic traffic assignment models have been proposed. This paper develops a link-based semi-dynamic user equilibrium traffic assignment model and extends it to consider the signal delay time. In many cities, the signal cycle length changes during the day related to traffic volume, so its consideration is essential. We have previously reported that if the signal stop time is not considered, the route travel time will be underestimated. Furthermore, the effectiveness of this model is illustrated by applying it to the Kanazawa urban area network.