Yanan Li
The Key Laboratory of Road and Traffic Engineering, Ministry of Education, College of Transportation Engineering, Tongji University, China
Ruihua Xu
The Key Laboratory of Road and Traffic Engineering, Ministry of Education, College of Transportation Engineering, Tongji University, China
Chen Ji
The Key Laboratory of Road and Traffic Engineering, Ministry of Education, College of Transportation Engineering, Tongji University, China
Han Wang
The Key Laboratory of Road and Traffic Engineering, Ministry of Education, College of Transportation Engineering, Tongji University, China
Di Wu
The Key Laboratory of Road and Traffic Engineering, Ministry of Education, College of Transportation Engineering, Tongji University, China
Download articlePublished in: RailNorrköping 2019. 8th International Conference on Railway Operations Modelling and Analysis (ICROMA), Norrköping, Sweden, June 17th – 20th, 2019
Linköping Electronic Conference Proceedings 69:48, p. 740-751
Published: 2019-09-13
ISBN: 978-91-7929-992-7
ISSN: 1650-3686 (print), 1650-3740 (online)
Capacity assessment of high-speed railway corridor is critical in tactical planning process because it is beneficial to unearth the potential capacity and improve the capacity utilization without new investment in construction. China’s high-speed railway corridor serves trains with high heterogeneity in different route, speed, and stopping plans. This paper first illustrates the necessity of assessing the corridor’s capacity as a whole without decomposition. Based on the concept of base train equivalent (BTE), two methods named “capacity occupancy equivalent (COE)” method and “demand adaptation equivalent (DAE)” method are developed to standardize different types of trains into an equivalent unit. The case study of Jing-Hu high-speed railway corridor demonstrates that the methodology is concise in capacity assessment, and the impact of the long-distance direct service on corridor capacity utilization is also calculated.
High-speed railway corridor, Capacity assessment, Base train equivalent, Heterogeneity, Demand adaptation