Optimizing Timetable Synchronization for Regional Public Transit with Minimum Transfer Waiting Times
The time passengers spending on waiting at transfer stations is one of crucial criteria which measures the quality of public transit service. Regional public transportation timetable synchronization can reduce the transfer waiting times so that improve the service quality. As a result, this paper presents a mixed integer nonlinear programming model for public transit schedule synchronization problem with the objective of minimizing transfer waiting times. The model includes the weights of transfer stations and a specific delay which most of the vehicles can expect due to the uneven passenger flow at transfer stations and road congestion during rush hours. Then, the proposed model is expanded to a second model which optimized the stopping time based on the necessary time in order to avoid just missing the connecting vehicles. Finally, a genetic algorithm approach is presented by considering the characteristics of the models and applied into a case study. The computational results demonstrate that the proposed models and the genetic algorithm approach are efficient and feasible.
Public transit Bus timetable Transfer waiting times Optimization model Genetic algorithm
Ying-hui Wu Jia-fu Tang
College of Information Science and Engineering, Northeastern University, Shenyang 110004, ChinaState College of Information Science and Engineering, Northeastern University, Shenyang 110004, China Stat
国际会议
The 24th Chinese Control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)
太原
英文
3799-3803
2012-05-23（万方平台首次上网日期，不代表论文的发表时间）