Period-wise bus frequency setting and timetable development for full-day operations are important for intercity bus service design along a particular route. Service design based on user perception and expectation of service attributes like crowding level, waiting time, etc. are important in maintaining the attractiveness of the service. The levels of these service attributes are responsible for determining the service cost of full-day bus operation. User cost components consist of in-vehicle travel time in crowded conditions, waiting time, whereas operator costs include vehicle capital cost, maintenance cost, running cost, and costs resulting from passenger loss. Thus, minimum social cost, i.e., combined user, and operator cost is crucial to make bus transit an attractive, affordable, and viable mode for catering to the passenger travel demand. Intercity service also requires a dedicated fleet both due to the nature of the service as well as bus type which are suitable for long-distance highway travel. In this research, we determine period-wise bus frequency, timetable, fleet size for the Greater Raipur region (GRR) along the 51 km long route connecting Raipur and Durg. Genetic algorithm (GA) has been utilized for optimization of service level parameters where the fitness function is the minimization of the social cost of running a full-day bus service in both directions. The model is used to generate the timetable and estimates the minimum fleet size as 14 buses.
A Full–Day Intercity Bus Frequency Setting Model Considering Dedicated Fleet Size and User Perception Using Genetic Algorithm
Lecture Notes in Civil Engineering
Conference of Transportation Research Group of India ; 2021 December 14, 2021 - December 17, 2021
Proceedings of the Sixth International Conference of Transportation Research Group of India ; Kapitel : 21 ; 311-330
2022-09-19
20 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch