Research on the Classification of Urban Rail Transit Stations - Taking Shanghai Metro as an Example

With the increase in rail inspection technology, the whole rail profile can be measured by rail inspection cars or some typical static measurement instruments. Based on a large number of practical rail profile measurements, a whole rail profile auto-matching method is put forward to enhance the efficiency and accuracy of data analysis. An analytical tool applying this method is developed at the same time and the principle and calculation method of the tool will be introduced. Apart from this, data collected from in-situ measurements taken on line 2 of the Shanghai Metro will be performed and analyzed to verify this method. The main contributions of this paper are the generalization of an efficient analytical tool for the calculation of wear parameters at both specific and non-specific points and the practical application for comparison of data collected by both dynamic and static inspection with the standard, which proves that the method is correct and effective.

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How does interchange affect passengers’ route choices in urban rail transit? – a case study of the Shanghai Metro

Transportation Letters ◽

10.1080/19427867.2021.1883803 ◽

2021 ◽

pp. 1-11

Author(s):

Yan Cheng ◽

Xiafei Ye ◽

Taku Fujiyama

Keyword(s):

Urban Rail Transit ◽

Rail Transit ◽

Urban Rail ◽

Route Choices ◽

Shanghai Metro

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Estimating Train Choices of Rail Transit Passengers with Real Timetable and Automatic Fare Collection Data

Journal of Advanced Transportation ◽

10.1155/2017/5824051 ◽

2017 ◽

Vol 2017 ◽

pp. 1-12 ◽

Cited By ~ 9

Author(s):

Wei Zhu ◽

Wei Wang ◽

Zhaodong Huang

Keyword(s):

Flow Distribution ◽

Urban Rail Transit ◽

Load Factor ◽

Rail Transit ◽

Urban Rail ◽

Collection Data ◽

Data Driven Approach ◽

Passenger Flows ◽

Route Choices ◽

Shanghai Metro

An urban rail transit (URT) system is operated according to relatively punctual schedule, which is one of the most important constraints for a URT passenger’s travel. Thus, it is the key to estimate passengers’ train choices based on which passenger route choices as well as flow distribution on the URT network can be deduced. In this paper we propose a methodology that can estimate individual passenger’s train choices with real timetable and automatic fare collection (AFC) data. First, we formulate the addressed problem using Manski’s paradigm on modelling choice. Then, an integrated framework for estimating individual passenger’s train choices is developed through a data-driven approach. The approach links each passenger trip to the most feasible train itinerary. Initial case study on Shanghai metro shows that the proposed approach works well and can be further used for deducing other important operational indicators like route choices, passenger flows on section, load factor of train, and so forth.

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GROUND SUBSIDENCE ALONG SHANGHAI METRO LINE 6 BY PS-InSAR METHOD

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-archives-xlii-3-1889-2018 ◽

2018 ◽

Vol XLII-3 ◽

pp. 1889-1893 ◽

Cited By ~ 1

Author(s):

J. Wu ◽

M. Liao ◽

N. Li

Keyword(s):

Ground Deformation ◽

Rapid Development ◽

Vertical Direction ◽

Urban Rail Transit ◽

Displacement Rate ◽

Rail Transit ◽

Maximum Displacement ◽

Envisat Asar ◽

Urban Rail ◽

Shanghai Metro

With the rapid development of urban economy, convenient, safe, and efficient urban rail transit has become the preferred method for people to travel. In order to ensure the safety and sustainable development of urban rail transit, the PS-InSAR technology with millimeter deformation measurement accuracy has been widely applied to monitor the deformation of urban rail transit. In this paper, 32 scenes of COSMO-SkyMed descending images and 23 scenes of Envisat ASAR images covering the Shanghai Metro Line 6 acquired from 2008 to 2010 are used to estimate the average deformation rate along line-of-sight (LOS) direction by PS-InSAR method. The experimental results show that there are two main subsidence areas along the Shanghai Metro Line 6, which are located between Wuzhou Avenue Station to Wulian Road Station and West Gaoke Road Station to Gaoqing Road Station. Between Wuzhou Avenue Station and Wulian Road Station, the maximum displacement rate in the vertical direction of COSMO-SkyMed images is &minus;9.92&thinsp;mm/year, and the maximum displacement rate in the vertical direction of Envisat ASAR images is &minus;8.53&thinsp;mm/year. From the West Gaoke Road Station to the Gaoqing Road Station, the maximum displacement rate in the vertical direction of COSMO-SkyMed images is &minus;15.53&thinsp;mm/year, and the maximum displacement rate in the vertical direction of Envisat ASAR images is &minus;17.9&thinsp;mm/year. The results show that the ground deformation rates obtained by two SAR platforms with different wavelengths, different sensors and different incident angles have good consistence with each other, and also that of spirit leveling.

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