| Bus dispatching is the main aspect affecting the operational efficiency and service level of the public transport system,and it is the core content of the intelligent public transport system research.In order to improve the transport efficiency of urban transport and meet the requirements of convenient and comfortable travel for urban residents,local governments continuously increase the investment in public transport construction and the increase in public transport vehicles;but on the other hand,in the context of the economic development market,domestic Prices have increased dramatically in recent years,and have further affected the operating costs of public transport.Therefore,most cities now try to use advanced technology to manage the operational scheduling of public transport,thereby increasing the use efficiency.In order to study the real-time scheduling optimization method of public transportation,this paper first introduces the key technologies from the aspects of automatic passenger counting technology,global positioning technology and mobile communication technology,and analyzes and discusses the application of vehicle-mounted GPS in China’s public transportation system industry.The situation and the comparison of the passenger flow data collection methods were compared.By comparing this paper,the image-based APC was selected for the passenger flow data collection,and the APC data matching method to each site was introduced.Combining GPS data and APC data collection,the statistics and prediction process of the passenger flow at the site are given.During the statistical process,the number of passengers getting on and off at each site is obtained.Finally,based on the theoretical basis of the article,the research was conducted on the background of the operation of Bus No.1 in Wuhan City.Firstly,it introduces the current operational status of No.1 bus in Wuhan;then it introduces the real-time collection methods of vehicle operating data and passenger data in the context of real-time scheduling;finally,it uses the collection to obtain real-time information and uses“genetic-simulated annealing”."The algorithm" solves the model and obtains the bus departure interval at the time of morning and evening peaks under real-time data acquisition,and further obtains the frequency of its departure. |
