A double time-scale passenger assignment model for high-speed railway networks with continuum capacity approximation

Author(s):  
Guangming Xu ◽  
Wei Liu ◽  
Runfa Wu ◽  
Hai Yang
2019 ◽  
Vol 21 (6) ◽  
pp. 1577-1592 ◽  
Author(s):  
Zhongbai Jiang ◽  
Changqiao Xu ◽  
Jianfeng Guan ◽  
Yang Liu ◽  
Gabriel-Miro Muntean

2020 ◽  
Vol 148 ◽  
pp. 106650
Author(s):  
Xiaojuan Li ◽  
Dewei Li ◽  
Xiaotian Hu ◽  
Zhenying Yan ◽  
Yongsheng Wang

2017 ◽  
Vol 2017 ◽  
pp. 1-16 ◽  
Author(s):  
J. Xie ◽  
S. C. Wong ◽  
S. M. Lo

High-speed railways have been developing quickly in recent years and have become a main travel mode between cities in many countries, especially China. Studying passengers’ travel choices on high-speed railway networks can aid the design of efficient operations and schedule plans. The Tong and Richardson algorithm that is used in this model offers a promising method for finding the optimal path in a schedule-based transit network. However, three aspects of this algorithm limit its application to high-speed railway networks. First, these networks have more complicated common line problems than other transit networks. Without a proper treatment, the optimal paths cannot be found. Second, nonadditive fares are important factors in considering travel choices. Incorporating these factors increases the searching time; improvement in this area is desirable. Third, as high-speed railways have low-frequency running patterns, their passengers may prefer to wait at home or at the office instead of at the station. Thus, consideration of a waiting penalty is needed. This paper suggests three extensions to improve the treatments of these three aspects, and three examples are presented to illustrate the applications of these extensions. The improved algorithm can also be used for other transit systems.


2020 ◽  
Vol 9 (2) ◽  
pp. 202-205 ◽  
Author(s):  
Jianpeng Xu ◽  
Bo Ai ◽  
Liangyu Chen ◽  
Li Pei ◽  
Yujian Li ◽  
...  

2015 ◽  
Vol 19 (12) ◽  
pp. 2106-2109 ◽  
Author(s):  
Miao Hu ◽  
Zhangdui Zhong ◽  
Minming Ni ◽  
Ruisi He

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