Coordinate Interests in Transit Network Layout Optimization
Xiaojing Zhu, Xuesong Feng, Lukai Zhang, Weixin Hua
Available Online December 2018.
- https://doi.org/10.2991/tlicsc-18.2018.12How to use a DOI?
- Transit Network Design; Multi-objective Optimization; Simulated Annealing Algorithm; Genetic Algorithm.
- In order to optimize transit network layout from the perspective of coordinating the conflicts between different stakeholders, this research constructs a multi-objective model and proposes a solution algorithm. The model is established from the perspective of operators with the goal of minimizing the total operating costs of the operating company, and from the perspective of the travelers to minimize the total travel time of all travelers, respectively. Additionally, simulated annealing algorithm is used as the main framework of the solution algorithm to minimize operating costs, and genetic algorithm is used as a subroutine of simulated annealing algorithm to optimize total travel time. It is found that the proposed optimization model and solution algorithm can balance interest conflicts between stakeholders in transit network design.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Xiaojing Zhu AU - Xuesong Feng AU - Lukai Zhang AU - Weixin Hua PY - 2018/12 DA - 2018/12 TI - Coordinate Interests in Transit Network Layout Optimization BT - 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018) PB - Atlantis Press SN - 1951-6851 UR - https://doi.org/10.2991/tlicsc-18.2018.12 DO - https://doi.org/10.2991/tlicsc-18.2018.12 ID - Zhu2018/12 ER -