| The rapid increase of urbanization population leads to urban traffic congestion.Public transportation is an important means to alleviate urban congestion,and rail transit,as the backbone of public transportation network,is a golden key to solve urban congestion.However,the coverage of rail transit trunk lines is limited,so it is extremely important to realize passenger distribution by establishing effective public transport connection routes,and then expand the coverage of rail transit trunk lines.Under this background,this paper takes the fixed-line bus system,which is the most widely used in China’s urban rail transit system,as the research object,puts forward the accessibility index of a single line,analyzes the factors and mechanisms affecting the bus system,establishes the optimization model of the bus network,and studies the related optimization problems of the bus line of urban rail transit.In this paper,python crawler is used to obtain the operation information of Xi ’an bus lines,people flow and site data,and the existing bus lines in Xi ’an are analyzed by Arc GIS software,and the site map of Xi ’an connecting bus lines is drawn,which provides data support for the subsequent line optimization research.At the level of a single line,the accessibility index of the connected bus lines is studied,and the influence of line length,station spacing,number of vehicles on the line and different connection modes on the accessibility of the connected bus lines is measured with passenger flow and passenger travel time as indicators.Based on the above analysis,the reachability formula is established,and the single route optimization model of connecting bus is constructed,and the example is solved and verified.On the level of online network,based on the actual investigation of the bus line operation in Xi ’an,this paper puts forward an optimization model aiming at the minimum operating cost of connecting urban rail transit with bus lines.On the premise of considering the travel time cost of passengers and the operating cost of bus operators,an optimization model of urban connecting bus lines with constraints is established,and the artificial bee colony algorithm is used for iterative solution,and compared with the simulated annealing genetic algorithm.The results show that the bee colony algorithm is better than the simulated annealing genetic algorithm in the optimization of urban rail transit connecting bus lines.Through numerical analysis and experiments,four best routes in the study area are planned by optimizing the model,aiming at reducing the travel time cost of passengers and the operating cost of bus operators,and providing ideas for the planning and operation of bus routes connected to urban stations. |
