An effective method to estimate urban link travel time in real-time traffic information system

Nowadays the Floating Car technology is playing a more and more important role in the dynamic route guidance, congestion management, traffic incidents detection, because it can collect more accurate travel time information in real-time traffic service systems. However the key problem of using it is that the moving direction and driving behaviors of floating car at low speed are dynamic and quite complex, disregarded these influence factors will seriously affect the accuracy of the evaluation of the Average Link Travel Time. In this paper, we proposed an effective Average Link Travel Time evolution method via combining trajectories with a new road network structure. Finally, we carried out our experiments on real data of 15,000 taxies for 13 months in several ways.