| The development of society has brought prosperity of auto industry, which makes the automobile production and per retain number increase year by year. While at the same time, the urban traffic pressure significantly increases and the traffic congestion problem has had negative effects on urban development and living qualfty of citizens. Therefore the Intelligent Transportation System draws wide attention, aiming at combining the high-tech and urban road traffic system to improve the traffic quality of the city and to allocate the road resource properly. This paper focuses on the ATIS system in Intelligent Transportation System by processing and analyzing the collected real-time traffic information, then providing the effective information to travelers and traffic managers.This paper studies the current domestic and foreign development situation and the key techniques of ATIS system and designs an ATIS system which meets the functional requirement. This system can obtain real-time traffic information by collecting real-time floating car GPS data and processing the data in Map Matching System and Real-time Traffic Information Processing System. Then, the processed information is coded by TPEG standard in XML format and released through WEB server. Travelers can observer the real-time traffic information by using terminal in Windows and Android platform which can decode the released XML information.This paper also optimizes the information processing and communication part of the designed ATIS system. Firstly, this paper proposes a new map matching algorithm which uses road meshing method to improve the real-time quality. It also revises the road weight based on second road meshing. GPS angle and number calculating, uses Dijkstra algorithm to search the shortest path in order to improve the map matching precision and ensure processing efficiency at the same time. Secondly, this paper adds data fusion function to the information calculation algorithm in Real-time Traffic Information Processing Subsystem, which improves the robustness of the system when the GPS data is insufficient. Finally, this paper designs and realizes a distributed information processing system which significantly improves the real-time performance while guaranteeing the stability of the system.This paper stimulates the optimized processing and communication system. The simulation data derives from the Dalian taxi real-time data which almost covers the whole Dalian road network. Firstly, this paper determines the road meshing and road weight parameters in map matching algorithm and the best node number in distributed system by comparison test. Secondly, this paper compares the current algorithm with Miwa algorithm. The result shows that the speed of the proposed algorithm has increased greatly and the precision also has an improvement. Thirdly, compared with serial communication architecture, the processing efficiency of distributed communication architecture used by this paper improves about twice. Finally, the paper joints the whole ATIS system to simulate. The result shows that the system performance meets the design requirements and is suitable for the practical application in Intelligent Transportation System. |