Smart and Resilient Transportation: Volume 6 Issue 1 , Open Access

Adjust train schedules to minimize passenger waiting times during disruptions

Huijuan Zhou, Rui Wang, Dongyang Weng, Ruoyu Wang, Yaoqin Qiao

The interruption event will seriously affect the normal operation of urban rail transit lines,causing a large number of passengers to be stranded in the station and even making…

Location and segmentation of important railway signs based on improved segmentation

Wang Zengqing, Zheng Yu Xie, Jiang Yiling

With the rapid development of railway-intelligent video technology, scene understanding is becoming more and more important. Semantic segmentation is a major part of scene…

A conceptual non-stop operation strategy for urban rail transit: a case study of São Paulo’s monorail line

Rubens C.N. Oliveira, Zhipeng Zhang

The purpose of this study is to address the extended travel time caused by dwelling time at stations for passengers on traditional rail transit lines. To mitigate this issue, the…

Portraying passenger travel patterns for Beijing public transit system with user profiling method

Ke Zhang, Ailing Huang

The purpose of this paper is to provide a guiding framework for studying the travel patterns of PT users. The combination of public transit (PT) users’ travel data and user…

Freight train derailment severity prediction: a physics-informed one-dimensional model

Di Kang, Steven W. Kirkpatrick, Zhipeng Zhang, Xiang Liu, Zheyong Bian

Accurately estimating the severity of derailment is a crucial step in quantifying train derailment consequences and, thereby, mitigating its impacts. The purpose of this paper is…