| In the context of the rapid increase in the number of private cars and road traffic in my country,urban public transportation has developed rapidly.The urban public transportation system presents the characteristics of multiple routes and high frequency of bus departures.This aspect provides urban residents with convenient travel services.,Improving the attractiveness of bus travel is also meaningful to alleviating traffic congestion;but on the other hand,this will inevitably bring about the high frequency of multi-line buses in the operation section,which will lead to the transformation of public transportation and its derivative problems.The coordinated dispatch and optimization of multi-line buses in the operating section is one of the important means to alleviate the above-mentioned problems.Therefore,this article has important practical significance for the research on the coordinated dispatch and optimization of multi-line public transportation considering the collocation of operating intervals.First of all,this article introduces the current research status of domestic and foreign experts and scholars in the field of public transport dispatch,and expounds the concept of bus line co-line and the theoretical knowledge of urban public transport dispatch.Combining the distribution characteristics of passenger travel stations,the attractiveness coefficient of land use and the coefficient of transfer capacity,the structured model is used to reverse the OD of public transport passenger flow,which provides data processing support for the coordinated scheduling and optimization of multi-line public transport in the following article.Secondly,this article analyzes the bus operation process,and considers the passenger detention due to bus capacity restrictions.The optimization goal is to minimize the passenger travel time and maximize the operating profit of the bus company to reflect the bus headway variation coefficient of the bus service level.With the bus load rate as a constraint,the departure interval is used as a decision variable to establish a multi-line bus coordinated scheduling optimization model considering the collinear operation of the operating intervals;then,based on the established optimization model,a serial hybrid algorithm of particle swarm optimization followed by genetic algorithm is designed Solve the model.Finally,the bus lines with the two operating sections of Dalian City 101 and 522 are selected as examples to verify the model and algorithm of this article.Based on the surveyed bus line-related data,the OD of bus passenger flow is reversed,and then the passenger flow arrival rule and passenger flow distribution rule of the bus station are obtained.With the help of MATLAB,the hybrid genetic particle swarm algorithm is used to solve the problem,and the departure interval plan of each line research period is determined.Finally,the passenger waiting time before and after optimization is compared with the operating profit of the bus company.The results show that multi-line bus coordinated scheduling optimization can not only effectively reduce the number of bus departures,reduce bus operating costs,increase the benefits of bus companies,and reduce passenger travel time.Improving the level of public transport services further verifies the effectiveness and practicability of this model. |