Research on Transportation Mode Split Model Based on BP Neural Network Between Highway And Railway in Transportation Corridor
In a transportation corridor involving highway and railway, research on transportation mode split is very important both theoretically and practically for regulating the passenger transportation market, improving the transportation level of service, and accommodating the increasing travel demand.Logit model which is a kind of stochastic discrete model is widely used in transportation mode split By analyzing the shortcomings of Logit model utility function, the paper discusses how to solve the problem of transportation modes split by using BP Neural Network.The paper puts forward Logit model based on BP Neural Network which improves the algorithm of the utility value based on neural network nonlinear approximation ability.Then, with an example, the paper expatiates how to establish and train transportation mode split model based BP nerve network and Matlab Toolbox.Result tests the accuracy and feasibility of the model based on BP Neural Network and indicates that model has a better utility value.
highway and railway transportation mode split transportation corridor BP Neural Network Logit model
Ying Wang Li Yan Qin
School of Traffic and Transportation,Beijing Jiaotong University,Beijing,China Department of Transpo Department of Transportation Engineering,Shandong Jiaotong University,Jinan,China
国际会议
太原
英文
382-387
2011-02-26（万方平台首次上网日期，不代表论文的发表时间）