Abstract
Nowadays, bus lines commonly share terminals, especially in urban areas, because an independent operation of each line would cause a large waste of resources. In addition, if lines share terminal all lines can be monitored by unified management, while the vehicles of different sizes can complement each other. Although the dispatcher generally sets up fixed departure intervals for bus lines, there are differences between bus lines in terms of operating time distribution and line volume. Thus, a new optimization model for multi-vehicle-type structure in urban bus system is proposed in this paper. The optimization was conducted according to two main characteristics of bus systems, bus company expense and bus service quality. The optimization model was designed based on minimal possible expense and maximal possible quality. At the same time, we proposed a Markov method based on alternative relations to solve the model. The proposed model was verified by real urban bus system. Moreover, the simulations in MATLAB software environment have proven a high efficiency and applicability of the proposed method.
Highlights
A proper configuration of multi-vehicle-type structure and bus timetable in urban bus systems represents comprehensive research topic
In order to calculate the best size for passenger-carrying vehicles, dell’Olio et al [7] proposed a bilevel optimization model with constraints on bus capacity, which allows buses of different sizes to be assigned to public transport routes and optimizes the headways on each route in accordance with observed demands
There is no research on optimization model for multi-vehicletype structure in urban bus systems
Summary
A proper configuration of multi-vehicle-type structure and bus timetable in urban bus systems represents comprehensive research topic. As it is well known, public transportation represents a public benefit, and its main purpose is to satisfy the travel needs of residents. In order to calculate the best size for passenger-carrying vehicles, dell’Olio et al [7] proposed a bilevel optimization model with constraints on bus capacity, which allows buses of different sizes to be assigned to public transport routes and optimizes the headways on each route in accordance with observed demands. Huang et al [9] studied the public multi-vehicle transportation systems and constructed the model for balanced passenger rate based on optimization of departure intervals and different bus sizes. An optimization model for multi-vehicletype structure in urban bus systems is presented.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
