A Simulation-based Performance Evaluation on Transient-value-based Route Planning Strategy in Urban Road Networks

Traditional strategies of dynamic route planning can be divided into Transient-value-based Shortest-Path-Finding (T-SPF) and Average-value-based Shortest-Path-Finding (A-SPF) in term of processing for real-time traffic conditions.It is significant for traffic management departments to know how to balance individual benefits and long-term impacts of these strategies.To this end, a series of situations based on actual road networks are simulated.Vissim Car2X module and customized programs are applied to achieve dynamic steering during the simulations.The results show that the performances of T-SPF and A-SPF under different levels of market share have their own problems.When the market share is higher than 15%, the T-SPF strategy may cause an oscillatory state in traffic capacity of urban road networks.The A-SPF strategy can achieve stable performance in average delay and traffic throughput of road networks under the same conditions.However, it shows poor performance in individual benefit.Suggestions for solving these problems are coordination of a new route planning strategy, and enhancement of an adaptive signal control policy.