Computation and Matching of Road Segment Velocity with Floating Car Data and Its Web Publication Based on Spatial Road Network

摘要

With the improvement of road condition, traffic control and traffic information services become more and more popular and necessary. The accurate raw data of traffic situation is vital precondition for traffic decision-making. Intelligent transportation system is the certain outcome when the modern traffic system develops to a high degree. In intelligent transportation systems, real-time transportation information can be collected by Floating Car Data (FCD). In this situation, positions of a sufficient number of vehicles can be frequently sent to the center site and travel time can be measured directly. The traffic center gathers all FCD to realize traffic pattern recognition and then the recognition sets are sent by broadcast. Users can receive this information by wireless implements for dynamic navigation. In this paper, coordinate transformation of FCD, map-matching method and road segment velocity considering FCD and traffic information publication are discussed. To verify the feasibility of these methods, they are applied in a case study and prototype for Urban Transport Simulation System and certain experiment results are obtained.