Intelligent traffic systems can help road users make reasonable route choice by providing them real-time traffic information，thus alleviate congestion. Considering the existence of overlapping between routes， this paper applies the cellular automaton model to simulate and investigate the route choice behavior under two information service strategies， namely travel time feedback strategy and mean velocity feedback strategy. Our simulation results indicate that the mean velocity feedback strategy can reduce the route travel time more efficiently than the time feedback strategy， particularly in longer networks with very short or very long overlapping segments. Its advantage in improving the network utilization efficiency decreases with the route length and drops first and rises afterwards with the length of overlapping part.