Research On Optimization Of Battery Electric City Bus Scheduling

With the problem of urban air pollution is becoming increasingly grim;development of New Energy Vehicles of China keeps on accelerating as well.In order to guide the New Energy Automotive industry changes from big to strong and protects the environment,various cities actively promote New Energy Vehicles in the public transportation system.With its smooth running process,low noise,zero emissions and other advantages,Battery electric vehicles have been widely welcomed and the proportion of it in city bus is improving steadilyResearch on optimization of Battery Electric Bus(BEB)scheduling has been very urgent since the BEB is gradually dominant in the bus industry.The main contents of the optimization problem include the charging mode selection,the traveling range determination,the bus passenger data collection and the bus timetable optimization,etc.Scientific and rational BEB scheduling plan has a great significance in the optimization of urban traffic resources,rational operation of bus companies,and rapid and healthy development of BEB.From the view of BEB dispatching,this paper firstly summarizes the characteristics of different charging models,and determines the charging mode of BEB.By combining real-time monitoring data of BEB,the driving distance was analyzed.Then,the passenger flow data is matched to the corresponding station based on the time synchronization of the Integrated Circuit Card(IC card)data and the Global Positioning System(GPS)data.Afterwards,using passenger flow data,a Multi-objective Optimization Model of BEB vehicle scheduling problems is presented with the objective of minimizing the passenger travel cost and maximizing the bus enterprise income.The main merits of the model appears in rather than using the traditional departure interval,this paper uses departure time as variables,driving range and switching time constraint are considered as well.Finally,the model is solved by improved Genetic Simulated Annealing Algorithm(GA-SA).This paper takes the No.35 BEB in Nanjing as an example to validate the research In the consideration of interests of passengers and bus companies and to be more in line with actual situation,passenger flow derived from the IC card and GPS data are used to solve the model to get the departure timetable.