Abstract
Simulating the congestion propagation of urban rail transit system is challenging, especially under oversaturated conditions. This paper proposes a quantitative model for capturing the congestion prorogation process through formalizing the propagation by a congestion susceptibility recovery process. Apart from that, a model for calculating congestion propagation rate is constructed, which is the key parameter in the former quantitative model. A grey system model is also introduced to quantify the propagation rate under the joint effect of six influential factors: passenger flow, train headway, passenger transfer convenience, time of congestion occurring, initial congested station and station capacity. A numerical example is used to illustrate the congestion propagation process and to demonstrate the improvements after taking corresponding measures.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
