Study On The Path Matching And System Design Of The Real-time Taxipooling

Along with the rapid development of urbanization and motorization, the contradiction between supply and demand of traffic have become increasingly prominent, especially in the big city land resources nervous, road facilities supply scale is limited, it is not possible to use unlimited road construction to meet the growing traffic demand. In recent years, environmental pollution has become more and more serious, the proportion of motor vehicle emissions is high and the quantity is increasing, which has become one of the main sources of air pollution. Based on this, the state put forward energy saving and emission reduction, and improve the transportation efficiency of the transport system. Taxi as an important part of the transportation system, it should also actively take energy-saving emission reduction, improve the efficiency of measures to support the transformation of the traffic system. As an important and effective way to improve the operational capacity and energy efficiency of the taxi, taxi co- operation should be vigorously promoted. But traditional passenger service quality is difficult to guarantee, chaotic management, security risks there existing in etc., making carpool has not spread, there is an urgent need to develop advanced intelligent carpool scheduling system to realize the combined taxi services with high quality demand and orderly operation of the regulatory.In this paper, we focus on the realization of the technical requirements of taxi ride, to carry out the design of the system architecture design and the method of real time co route matching based on the information of the two direction sensing. First, on the basis of domestic urban taxi operation situation analysis of taxi the multiplied by the necessity to improve the transportation efficiency, and from the policies and regulations, infrastructure, technology support multi-level multi angle proposed the taxi passenger security measures. Secondly, combined with information collection, data processing, information dissemination, and other aspects of demands, constructed for passengers and drivers information bidirectional sensing module combined taxi system, from data acquisition, data stream, data analysis to carry on the elaboration to the function of the system and based on the SQL Server database design database structure. Then, the matching types are divided into three types: complete matching, basic matching and incomplete matching. By analyzing and comparing different path matching types, the DAL path matching algorithm based on the reference path is constructed. Finally, by using the grey model and ant colony algorithm combined with the method for solving the optimal path problem based on real-time reference impedance.In this paper, the framework of taxi service system can meet the demands and function of passengers, drivers and managers for real-time carpool requirements, to achieve the passengers and the driver information perceived by demand. Real-time carpool path matching model is considered in this article, the applicability of different types of carpool with high. And the algorithm is simple, the matching path is split into two parts, respectively, then part of the path matching problem is simplified to the point to the line matching problem, improve the efficiency of data analysis and processing. With the optimal path matching path generation algorithm as a reference path to participate in, to improve the accuracy of path matching. At the same time the traffic impedance is introduced into the algorithm of real-time traffic flow data based on the enhanced ride matching degree, and the real situation of the path.