Di Liu
School of Transportation and Logistics / National United Engineering Laboratory of Integrated and Intelligent Transportation, Southwest Jiaotong University, Chengdu, Sichuan, China / KU Leuven Mobility Research Center-CIB, KU Leuven, Leuven, Belgium
Pieter Vansteenwegen
KU Leuven Mobility Research Center-CIB, KU Leuven, Leuven, Belgium
Gongyuan Lu
School of Transportation and Logistics, Southwest Jiaotong University, Chengdu, Sichuan, China / National United Engineering Laboratory of Integrated and Intelligent Transportation, Southwest Jiaotong University, Chengdu, Sichuan, China
Qiyuan Peng
School of Transportation and Logistics, Southwest Jiaotong University, Chengdu, Sichuan, China / National United Engineering Laboratory of Integrated and Intelligent Transportation, Southwest Jiaotong University, Chengdu, Sichuan, China
Ladda ner artikel
Ingår i: RailNorrköping 2019. 8th International Conference on Railway Operations Modelling and Analysis (ICROMA), Norrköping, Sweden, June 17th – 20th, 2019
Linköping Electronic Conference Proceedings 69:52, s. 786-805
Publicerad: 2019-09-13
ISBN: 978-91-7929-992-7
ISSN: 1650-3686 (tryckt), 1650-3740 (online)
With the rapid development of the Chinese high-speed railway (HSR) network, more and more railway lines are becoming oversaturated, leading to inefficient operations and reducing the service quality. To improve the network’s performance, this paper proposes a profit-oriented line planning model for collaboratively optimizing the operational costs and passenger travel times. Due to the complexity of the problem, an iterative approach is designed to solve the problem efficiently. Two case studies are implemented to verify the performance of the approach. The results of the small example show that the best found line plan can save up to 6% of the travel time compared to the initial solution and improve the profit with 2%. The proposed iterative approach also performs well in searching for high-quality solutions on the large railway network.
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