Capacity-Constrained Network Performance Model for Urban Rail Systems
Name
Network_Performance_Model_for_Urban_Rail_Systems__TRR_final.pdf
Description
Accepted version
Size
4.06 MB
Format
Adobe PDF
Checksum (MD5)
10cc50440cd8e6d5865bd4b104b4f37a
Author(s)
Mo, Baichuan
Ma, Zhenliang
Koutsopoulos, Haris N
Zhao, Jinhua
Date Issued
2020
Journal
Transportation Research Record
Publisher
SAGE Publications
Version
Author's final manuscript
Abstract
© National Academy of Sciences: Transportation Research Board 2020. This paper proposes a general network performance model (NPM) for monitoring the performance of urban rail systems using smart card data. NPM is a schedule-based network loading model with strict capacity constraints and boarding priorities. It distributes passengers over the network given origin-destination demand, operations, route choice, and effective train capacity. A Bayesian simulation-based optimization method for calibrating the effective train capacity is introduced, which explicitly recognizes that capacity may be different at different stations depending on congestion levels. Case studies with data from the Mass Transit Railway network in Hong Kong are used to validate the model and illustrate its applicability. NPM is validated using survey data on left-behind passengers and exiting passenger flow extracted from smart card data. The use of NPM for performance monitoring is demonstrated by analyzing the spatial-temporal crowding patterns in the system and evaluating dispatching strategies.
MIT Department
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Massachusetts Institute of Technology. Department of Urban Studies and Planning
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1177/0361198120914309
