Robust timetable optimization for bus lines subject to resource and regulatory constraints
mode - bus, place - asia, operations - frequency, operations - scheduling, ridership - demand
Bus scheduling, Robust timetabling, Dispatching time determination, High-frequency services, Service regularity
Timetables are typically generated based on passenger demand and travel time expectations. This work incorporates the travel time and passenger demand uncertainty to generate robust timetables that minimize the possible loss at worst-case scenarios. We solve the resulting minimax problem with a genetic algorithm that uses sequential quadratic programming to evaluate the worst-case performance of each population member. Our approach is tested on a bus line in Singapore demonstrating an improvement potential of ≃5% on service regularity and excessive trip travel times.
Permission to publish the abstract has been given by Elsevier, copyright remains with them.
Gkiotsalitis, K., & Alesiani, F. (2019). Robust timetable optimization for bus lines subject to resource and regulatory constraints. Transportation Research Part E: Logistics and Transportation Review, Vol. 128, pp. 30-51.