title: Optimal path choice in railway passenger travel network based on residual train capacity.
abstract: Passenger's optimal path choice is one of the prominent research topics in the field of railway passenger transport organization. More and more different train types are available, increasing path choices from departure to destination for travelers are unstoppable. However, travelers cannot avoid being confused when they hope to choose a perfect travel plan based on various travel time and cost constraints before departure. In this study, railway passenger travel network is constructed based on train timetable. Both the generalized cost function we developed and the residual train capacity are considered to be the foundation of path searching procedure. The railway passenger travel network topology is analyzed based on residual train capacity. Considering the total travel time, the total travel cost, and the total number of passengers, we propose an optimal path searching algorithm based on residual train capacity in railway passenger travel network. Finally, the rationale of the railway passenger travel network and the optimal path generation algorithm are verified positively by case study.
authors.affiliation: School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China.
authors.forename: Fei
authors.initials: F
authors.lastname: Dou
authors.affiliation: School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China.
authors.forename: Kai
authors.initials: K
authors.lastname: Yan
authors.affiliation: School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China.
authors.forename: Yakun
authors.initials: Y
authors.lastname: Huang
authors.affiliation: State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China.
authors.forename: Li
authors.identifier: 0000-0002-1090-9248
authors.initials: L
authors.lastname: Wang
authors.affiliation: State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China.
authors.forename: Limin
authors.initials: L
authors.lastname: Jia
mesh_terms: D008962:Models, Theoretical; D011890:Railroads / Q000379:methods*