Optimal route design of electric transit networks considering travel reliability
Journal article, 2021

Travel reliability is the most essential determinant for operating the transit system and improving its service level. In this study, an optimization model for the electric transit route network design problem is proposed, under the precondition that the locations of charging depots are predetermined. Objectives are to pursue maximum travel reliability and meanwhile control the total cost within a certain range. Constraints about the bus route and operation are also considered. A Reinforcement Learning Genetic Algorithm is developed to solve the proposed model. Two case studies including the classic Mandl's road network and a large road network in the context of Zhengzhou city are conducted to demonstrate the effectiveness of the proposed model and the solution algorithm. Results suggest that the proposed methodology is helpful for improving the travel reliability of the transit network with minimal cost increase.

Author

Pei Tong

Zhengzhou University

Yadan Yan

Zhengzhou University

Dongwei Wang

Zhengzhou University

Xiaobo Qu

Chalmers, Architecture and Civil Engineering, Geology and Geotechnics

Computer-Aided Civil and Infrastructure Engineering

1093-9687 (ISSN) 1467-8667 (eISSN)

Vol. 36 10 1229-1248

Subject Categories

Telecommunications

Transport Systems and Logistics

Communication Systems

DOI

10.1111/mice.12678

More information

Latest update

4/5/2022 5