Algorithm for origin-destination matrix estimation of mutil-mode network bus route

被引:0
作者
Zhang, Yi [1 ]
机构
[1] School of Transportation and Logistics, Southwest Jiaotong University
来源
Xinan Jiaotong Daxue Xuebao/Journal of Southwest Jiaotong University | 2013年 / 48卷 / 03期
关键词
Bus transit; Origin-destination matrix; Travel time; Urban rail transit;
D O I
10.3969/j.issn.0258-2724.2013.03.020
中图分类号
学科分类号
摘要
In order to analyze the impact of urban rail transit on the travel mode choice of conventional bus passengers, an algorithm for origin-destination matrix estimation of conventional bus passenger flow under the impact of urban rail transit was developed in MATLAB by using Dijkstra's algorithm to calculate the path with shortest travel time, where the minimum travel time was taken as the objective in travel mode choice. Compared with the traditional gravity model, this method can avoid the complicated process of estimating the impedance coefficient. The result of a case study show that in order to choose urban rail transit, the passenger flow at 43.7% of bus stations have increased to 2.73 times that before the advent of urban rail transit, and 56.3% of original bus passengers choose the urban rail transit system to substitute bus.
引用
收藏
页码:520 / 524
页数:4
相关论文
共 17 条
[1]  
pp. 117-119, (1996)
[2]  
Sun A., Research on forecasting methods of bus passenger flow, Urban Transportation, 6, pp. 32-33, (1996)
[3]  
Si B., Gao Z., A study on the equilibrium assignment model and algorithm for urban transit network, Journal of Highway and Transportation Research and Development, 15, 3, pp. 41-44, (1998)
[4]  
Song Y., Gao Z., A bi-level programming model and solution algorithm for the continuous equilibrium network design problem, Journal of Highway and Transportation Research and Development, 16, 1, pp. 40-43, (1999)
[5]  
Jiang H., Gao Z., Genetic algorithm for solving a stochastic user equilibrium assignment model of congested transit network, Journal of Highway and Transportation Research and Development, 17, 2, pp. 37-41, (2000)
[6]  
Guo X., Wang W., Lu S., Study on URT's forecast model on co-operant and competitive OD matrix, Journal of Highway and Transportation Research and Development, 17, 4, pp. 57-63, (2000)
[7]  
Lu S., Guo X., Method of the URT's passenger flow forecast, Systems Engineering: Theory and Practice, 8, pp. 106-110, (2001)
[8]  
Fan H., Fan B., Zhang L., The application of gray-BP networks method in the passenger volume forecast, Journal of University of Shanghai for Science and Technology, 25, 1, pp. 25-28, (2003)
[9]  
Liu J., Li L., Guan W., Et al., Short term prediction of traffic flow in Beijing ring road based on neural network, Communication and Transportation Systems Engineering and Information, 5, 6, pp. 110-115, (2005)
[10]  
Jiang P., Shi Q., Chen W., Et al., Prediction of passenger volume based on Elman type recurrent neural network, Journal of Hefei University of Technology, 31, 3, pp. 340-342, (2008)