Evaluating urban rail travel reservation strategy: a dynamic passenger flow simulation approach
Document Type
Journal Article
Publication Date
2025
Subject Area
place - asia, place - urban, mode - subway/metro, operations - crowding, ridership - demand, ridership - modelling, planning - travel demand management, planning - methods
Keywords
Passengers flow control, saturation level classification, urban rail travel reservation, passenger flow simulation model
Abstract
During peak hours, major urban rail transit lines often face severe overcrowding, leading to operational risks and diminished passenger experience. Therefore, it is crucial to assess the effectiveness of novel passenger demand management strategies, such as Transit Reservation Strategies (TRS), in alleviating congestion on overcrowded lines. This study employs a dynamic passenger flow simulation model and K-means clustering to evaluate station saturation levels (SL). Focusing on Nanjing Metro Line 3, the study identifies optimal reservation quota scheme that minimizes passenger travel delays and compares the impact of different TRS gate entry methods under an arithmetic sequence reservation quota scheme on passenger flow regulation. Results indicate that TRS significantly manages passenger demand at high-traffic stations and effectively reduces saturation delays for reserved travelers. Furthermore, the implementation of dedicated TRS fare gates and optimal TRS quotas demonstrates superior effectiveness in alleviating passenger over-saturation, highlighting the considerable potential of TRS for practical application.
Rights
Permission to publish the abstract has been given by Taylor&Francis, copyright remains with them.
Recommended Citation
Jiao, Q., Yu, Q., Chen, X., Cheng, L., & Ngoduy, D. (2025). Evaluating urban rail travel reservation strategy: a dynamic passenger flow simulation approach. Transportmetrica B: Transport Dynamics, 13(1), 2459925.
