System Optimum Traffic Assignment for Connected Cars

Abstract

Traffic jams are a serious issue in urban life. Conventional car navigation systems are based on user equilibrium (UE) traffic assignment, in which a driver always chooses the best route. System optimal (SO) traffic assignment is better than UE traffic assignment. However, it is difficult to realize SO because of a lack of complete traffic information. In the near future, almost all cars will be connected to the cloud. This means that complete traffic information can be collected by connected cars. In this paper, we describe an SO-based navigation method. In our method, the cloud detects SO traffic assignment using collected traffic information. We also evaluate the proposed method for several cases.