Comparing the Information Feedback Strategies in a Signal Controlled Network

The dynamics of traffic flow influenced by real-time traffic information has become a hot topic. The aim of this paper is to explore the effects of four different information service strategies on travelers´ route choice and the resultant system performance in a signal controlled network, where the exact real-time information is more difficult to collect in comparison with the two-route scenario. Simulation results given by cellular automaton model show that the system purpose-based mean velocity feedback strategy and the congestion coefficient feedback strategy have more advantages in improving network utilization efficiency and reducing travelers´ travel times. The travel time feedback strategy and the individual purpose-based mean velocity feedback strategy behave slightly better in assuring user equity.