Simulation Analysis of the Market Diffusion Effects of Risk-averse Route Guidance on Network Traffic

Though the development of real-time traffic information and vehicle navigation has contributed to the increase in drivers’ satisfaction, the market diffusion of these technologies may not lead to the reduction of traffic congestion mainly due to the concentration of traffic into particular paths or links in the traffic networks. The hyperpath-based route recommendation would have the potential of reducing the congestion of the entire network because it recommends a potential optimal set of paths instead of the shortest (single) path and lead to the dispersion of traffic in an appropriate way. This study analyses the market diffusion effects of hyperpath-based route recommendation on the whole network traffic by employing agent-based traffic simulation mid dynamic traffic assignment. Some comparison studies reveal that indeed the hyperpath-based route recommendation would contribute to the mitigation of traffic congestion in some aspects