The Optimal Multi-target Model And Method Of Adjustment For Bus Routes Overlap With Metro Line

In recent years,with the rapid development of urban social economy in our country,the increasing demand for travel of residents leads to the increasingly prominent traffic congestion in cities.Urban subways and conventional buses have always played an important role in alleviating urban traffic congestion.Metro has a series of advantages such as high transportation efficiency,fast speed,low environmental pollution,good safety and high punctuality rate,subway has been vigorously planned,constructed and put into operation in many cities in our country.However,subway lines need to be laid out along the passenger flow corridor of urban public transport,which is usually centralized with several conventional bus routes to serve the residents before the subway is put into operation.Therefore,after the opening of the metro line,it will inevitably appear with a large number of conventional bus routes.This will affect the transport efficiency of bus and metro in varying degrees,resulting in mutual competition and rich transport capacity in common line segment;The adverse situation of low coverage rate and poor accessibility of bus stops in non-common line segment.In view of this,the study of the optimization and adjustment model and method of metro line overlap with bus route has important theoretical reference significance in the practice and development of the path optimization theory,and has important practical application value in improving the quality of urban public transport service and optimizing the structure of residents’ travel mode.In view of the above background,in order to improve the bus line carrying rate and operation efficiency,to optimize the structure of public transportation resources,the optimization and adjustment model and algorithm of metro line overlap with bus routes are studied.Taking into account the interests of passengers and bus operators,factors such as departure frequency are considered.Taking the maximum passenger travel satisfaction cost,the minimum bus operation cost and the bus system revenue as the optimization goals,a multi-objective optimization model is constructed.Constraints of the optimization model are established considering factors such as the rationality of common line segment nodes,rated bus carrying capacity,line length and station spacing.The idea based on genetic algorithm,the algorithm of solving the above optimization model is designed,and the algorithm is implemented through MATLAB programming.The metro line 2 in dalian as a case study of the goal line,and select the Hongqi West Road Station to Lianhe Road Station as the specific analysis object of this study.The optimization model and genetic algorithm are used to solve the problem of the bus route which is collinear with the metro.The optimization and adjustment scheme of the subway co-line bus line is obtained.The number of stations,the distance between stations,the non-linear coefficient and the area covered by stations after adjustment are analyzed and compared.The results show that the proposed optimization model and genetic algorithm can increase the distance between conventional bus stops without changing the number of stops on the original line.In order to expand the range of passenger flow,the increased detour distance increases the cost of line addition and also increases the area of station coverage.