Study on a dynamic traffic route choice model with travel time reliability constrains of Intelligent Transportation Systems

For Intelligent Transportation Systems(ITS), dynamic traffic route choice is one of the most important technologies. Practical applications have shown that static route choice models can not meet passengers´ travel demands, because route choice is a typical multi-objective programming problem affected by many dynamic factors, such as real-time traffic state, link travel time, traffic incident, intersection delay and so on. In this paper, I proposed a multi-objective dynamic route choice function with the minimum of link travel time and distance as the target, which travelers paid most attention to when they chose the route. Also I got travel time reliability as the model constraint to against the complexity and indetermination of traffic flow. And I obtained the link travel time by short-term forecasting based on measured traffic data of the network. Finally, in order to test its reliability, I established a simulation road network for realtime traffic data, and solved the model I put forward by improved genetic algorithm. Fortunately, I obtained an exciting result.