Abstract—Bus Rapid Transit (BRT) is a public transportation system and plays an important role in urban transportation systems. In order to increase the speed, efficiency, and reliability of BRT systems, the headway optimization and scheduling combination are considered. This work proposes a new multi-objective model for BRT scheduling problems. The problem is then solved by Fast Non-dominated Sorting Genetic Algorithm (NSGA-II) - based method. A case study in Hanoi is investigated. The experimental results show that the new model is applicable.
Index Terms—Bus rapid transit, multi-objective, NSGA-II, scheduling.
Nguyen Quang Thuan is with the International School (VNU-IS), Vietnam National University, Hanoi (VNU), Vietnam (email: firstname.lastname@example.org).
Phan Nguyen Ba Thang is with Hanoi University of Science and Technology, Hanoi, Vietnam (email: email@example.com).
Cite: Nguyen Quang Thuan and Phan Nguyen Ba Thang, "A Novel Model for BRT Scheduling Problems," International Journal of Machine Learning and Computing vol. 9, no. 4, pp. 401-406, 2019.Copyright © 2019 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).