The Design Of Intelligent Public Transportation System Based On RSSI Positioning

The establishment of the bus going ahead strategy is an effective measure to ease the traffic congestion. The intelligent and humanized urban public transport system is an inevitable trend. Bus positioning system,as a subsystem of urban public transport system,has essential research value. Wireless sensor network technology is integrated with the sensor technology,wireless communication technology and wireless sensor network is a kind of feasible bus positioning solution,having the characteristics of low cost,small volume,the self-organizing. The wireless sensor network is used for urban public transport positioning system with a low cost,facile realization and positioning accuracy to meet the needs.The detail research contents are as follows:On the basis of domestic and foreign research status and methods on vehicle positioning method,combining with the research purpose and application significance of the topic,determine the overall framework of the wireless sensor in the city bus network positioning system. According to the function of the sensor nodes in the positioning system,elaborations on all aspects of the circuit on the hardware side are given. Node adopts TI Company’s CC2530 as he processing module and external CC2591 RF as front-end,its work together to achieve the system functions. The research design is concretely divided into upper wireless transmission module and the lower test base for research design.Firstly,the paper analyses Several related technologies of the bus positioning system,introduces the principle and Analyze the working principle of the radio frequency system, and can be applied on the nodes at the front part, and then introduces the wireless data transmission technology. Then,the paper analyses the causes of errors on the bus positioning information. From the research of the errors,it puts forward the corresponding compensation schemes.The research focus of this project is the localization algorithm. Based on the analysis the advantages and disadvantages of the existing vehicle positioning method, the great importance is attached on analysis of a localization algorithm on the basis of RSSI wireless sensor location. Using its own advantages, a certain improvement, introducing the idea of self-learning in this paper,it is use a self-learning type node localization algorithm based on RSSI to solve the location problem under the circumstance of straight way and curve way,and knowing the actual distance between vehicle and platform. On the basis of the localization algorithm, bus arrival time is predicted by considering the average speed in the electronic stop section and the distance between vehicle and platform.In this basis, task is acquiring the signal intensity of sensor nodes by experimenting based on the study of positioning systems and algorithms, the data were analyzed by the Matlab simulation to verify the algorithm. The experimental results show that the node communication distance can reach 1000 meters,and data transmission process is very stable,positioning ranging error is within acceptable range,which proves that this scheme is feasible. This simple-designed and low-cost positioning system,on the one hand,provides some new theoretical basis for the further development,which has a certain reference value;on the other hand,can reduces the cost,be helpful for bus based on wireless sensor network positioning system is widely used.Finally,it made an experiment by using 382 line’s historical data in Shenzhen. The experimental results show that the training speed of the new model has been greatly improved and the prediction accuracy is within acceptable limits. The new model will have a good performance in the practical application.