The Research Of Line Network Optimization Method Based On The Relief Of Non-capital Function

Based on the experience of megacities in developed countries with regard to the operation of public transportation,a sound network is significant in addressing traffic congestion,reducing air and noise pollution,enhancing public transportation efficiency as well as bringing about social benefits.Traditional layout relies on manual survey of the traffic flow,bus dispatching schedule and managerial experience.Thanks to the development of Internet technology and big data,dynamic OD is now available to provide data support to dispatch buses,optimize network and manage operations.This paper firstly introduces the change of traffic flow due to the relief of non-capital function,development of public transportation,analyzes the survy method and trend based on traffic flow,conducted simulation on OD derived from big data.Secondly,it proposes the principles of network optimization,analyzes the topological structure of the network,and studies on the basic theory of modeling which has laid solid foundation for future modeling and solving models.Thirdly,it put forwards a model with the minimum aggregate corporate cost and passenger cost as its objective function,as well as the distance between stations,interval between buses and the proportion of downtown traffic as its restrictions.The optimal solutions are sought through the selection,intersection and variation in MATLAB genetic algorithm to conduct calculation analysis.Finally,a practical area is selected to find the optimal track based on established models and genetic algorithm,so as to lay out the rapid and universal network.On the assumption of 20% decrease of traffic flow,optimal solutions can be attained and compared.The implications on the network are analyzed accordingly.