Research Of Advanced Public Transportation Forecasting System Based On The Extended Communication Node

This thesis analyzes the development of intelligent public transportation at home and abroad. According to the shortcomings in domestic vehicle bus system, the new research and development machine on bus by Public Transport Services Department of Hisense, the forecasting system in Advanced Public Transportation System, APTS in short, is researched.Public transport system is real time work environment with a large amount of information. Many data should be collected and analyzed in the operation of the public transportation. It is necessary to study the intelligent public transport operations. The data are organiced integration in order to realize the advanced control strategies, and improve the performance of APTS.This thesis introduces the profiles of the system terminal on bus firstly. The exist problems and the shortage of the terminal on bus are analyzed. In order to resolve those problems, a powerful data collection and transmission device is designed. It is the extended communication node. Not only does the device make the terminal on bus gain more inforamtion, but also realize the communication between vehicle equipment and bus-station. It can improve the ccuracy about the forecasting sytem. And it is important for improve the whole APTS.The ARM chip LPC2364 is used as the processor of the extended communication board. Operating system is not used on the ARM chip. In hardware design, data acquisition circuit schematic diagram of analog volume, digital volume and pulse volume were degined; Intelligent CAN communication module, DSRC 2.4GHz communication module, RS232 and RS422 communication module circuit were designed.After the completion of hardware design, communication and data acquisition programs were designed and debuged. In this thesis, part of the CAN protocol was briefly introduced (including the application-layer protocol provided by other companies), as well as the DSRC wireless communications protocol designed by Hisense. By combination of protocol and collection data, the extended communication board communicates with the machine on bus through the RS232, communicates with the extended communication board on the station machine through the DSRC short-range wireless.Finally, the present control scheme is improved with functional of the extended communication board base on the analysis of the inadequacy and the defect of the existing system. Local prediction accuracy of the bus-station was greatly enhanced by use of Dual-loop vehicle identification technology. The problem of loss GPS signal was resolved by using of DSRC. At E-Stop, the time prediction algorithm model based on the multi-information fusion and Kalman filter theory were used. The speed, time, historical data and other information uploaded by the extended communication board are used in the model to improve the accuracy of the forecast arrival time.Theoretical analysis about how to improve the forecasting system is discussed in this thesis. The present control method is improved, and some comparison is made. How to improve the control algorithm further and achieve practical application of the theory will be the focus in the further work.