Capacity-Constrained Network Performance Model for Urban Rail Systems
Document Type
Journal Article
Publication Date
2020
Subject Area
place - asia, place - urban, mode - rail, mode - mass transit, operations - capacity, operations - performance, technology - passenger information, planning - methods, planning - surveys
Keywords
Transit network loading, Performance monitoring, Effective capacity, Event-driven simulation
Abstract
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.
Rights
Permission to publish the abstract has been given by SAGE, copyright remains with them.
Recommended Citation
Mo, B., Ma, Z., Koutsopoulos, H.N., & Zhao, J. (2020). Capacity-Constrained Network Performance Model for Urban Rail Systems. Transportation Research Record: Journal of the Transportation Research Board, Vol. 2674(5), pp. 59-69.
