Research On Public Transit Line Investment Planning Model Based On Artificial Fish Swarm Algorithm

Urban rail transit has a high level of mobility,but there are difficulties in fixing the line network and construction,resulting in low coverage density and insufficient public transportation convenience.In the process of commuting,rail transportation is convenient and fast,which provides great convenience for residents,but for the"door-to-door" transportation service,other transportation methods are needed to improve it.In large residential areas,strengthening the construction of branch buses can reduce travel pressure and solve the travel problems of long-distance commuters.Therefore,in order to better improve the long-distance travel pressure of residents and improve the traffic accessibility of rail stations,it is imperative to design a set of community bus systems connected with rail transit in a targeted and planned way,which can improve the rail transit.It can not only effectively improve the transportation capacity of rail transit,but also bring more convenience to the community.This paper introduces on the basis of introducing the convenience of public transportation,optimization of public transportation network,the research status of artificial fish swarm algorithm,and the related theory and characteristic analysis of community public transportation,it discusses the development characteristics,investment characteristics and planning characteristics of urban rail transit in community bus operation.Next is the investment planning and layout method of community bus lines connecting to urban rail transit.On the basis of a simple evaluation of the convenience of urban public transportation,it expounds the planning ideas and methods of community bus connecting to urban rail transit.and then starts from connecting urban rail transit.Then,the selection of community bus stations connecting to urban rail transit is described from three aspects:service scope,demand quantification method and candidate station selection method,and the case analysis is carried out to illustrate the pre-investment planning situation of community bus lines connecting to urban rail transit.Then model based on artificial fish algorithm to carry out the bus lines investment planning optimization research,on this basis,from the artificial fish algorithm improvement,optimization of two aspects of modeling in this paper,the community bus lines investment planning based on artificial fish algorithm model optimization model,then USES the instance data line investment planning and line route optimization problem solving.In general,this paper takes the optimization of community public transportation as the research object,and analyzes and summarizes from three aspects:passenger flow demand,line network planning and urban public transportation convenience.It focuses on the study of community bus route optimization methods,so as to achieve the purpose of coordinating public transport networks and better serving urban residents,providing relevant theoretical support and practical reference for urban public transport system planning.