Research On The Connection Between Urban Rail Transit And Conventional Public Transport Based On Improved Immune Genetic Algorithm

Urban rail transit is in the rapid development stage,promoting the rapid development of the city,making people’s travel more convenient,safe and comfortable.At present,the integration of urban public transportation is not perfect,and urban rail transit is in competition with the surrounding conventional buses in the operation process.Due to their characteristics,both conventional bus and urban rail transit cannot meet the different needs of passengers alone.In addition,with the sustained,healthy and steady development of China’s economy,private car ownership keeps rising.At present,the fuel of cars is mainly gasoline and diesel oil.A large number of vehicle exhaust emissions lead to serious air pollution and urban traffic congestion.Therefore,for the above problems,how to operate urban rail transit and conventional public transport development is particularly necessary.Based on the above background and practical demand,this research firstly for urban rail transit and conventional public briefly expounds related concepts and basic theory,the specific analysis of the characteristics of two kinds of modes of transport and function orientation,and gives the existing conventional adjustment scheme of bus lines,on how to adjust and competitive line of urban rail transit are briefly analyzed;Then,aiming at the optimization problem of receiving bus network within the influence range of urban rail transit,taking into account several factors such as departure frequency and other factors according to the actual situation,the mathematical model is constructed with the objective function of minimizing the total social travel time of passengers and the operation cost of bus enterprises.Then,according to the mathematical model of transit line network optimization established in this study,by comparing the characteristics of several modern optimization algorithms,immune genetic algorithm is selected as the solution algorithm of this optimization model,and is improved.Finally,through the above specification of the result of theoretical analysis,the light rail line 12 in Dalian as an empirical research on the goal line,and the selection of Lushun tower and river stand two sites as a concrete analysis of this study object,through field investigation to obtain required data model,based on this research established optimization model,using the improved immune genetic algorithm to solve optimization model for urban rail transit within the scope of influence of several of the feeder bus routes,to verify the effectiveness of the algorithm,and the light rail line 12 in Dalian how efficient and reasonable operation together with surrounding conventional public traffic constructive adjustment method is put forward.