Modeling the first holding and all holding control strategy of buses under uncertainty

Document Type : Scientific - Research

Authors

1 Student of the Faculty of Transportation, University of Science and Technology

2 Assistant proffessor, Department of transportation planning, school of civil engineering, iran university of science and technology

Abstract

In recent decades, due to the importance of keeping transportation system performance in the condition of disturbance at the desired level, a new definition has been provided to evaluate the performance of transportation system, which expresses the reliability of the system in conditions of uncertainty. Therefore, assessment the reliability of the performance of transportation system in their design or upgrading and reconstruction has become very important. To increase reliability, control strategies are used that reduce the waiting time of passengers at the station. The scenario of the absence of overtaking conditions of buses and the scenario of the presence of overtaking conditions of buses are introduced and a separate mathematical model is presented for each to determine the optimal holding time of buses at the stop so that the waiting time of passengers is minimized. Then, the constraint of the maximum holding time of buses in the condition of uncertainty (soft limit) and its effect on the objective function are evaluated. An assumed example has been used to investigate the impact of uncertainty on control strategies. Passenger waiting time results for different confidence levels for each strategy are given. In the first holding control strategy and all holding (first scenario), the waiting time of passengers increases with the increase of the confidence level, but in the all holding control strategy (second scenario), changes in the confidence level do not affect the objective function and the objective function is almost constant.

Keywords



Articles in Press, Accepted Manuscript
Available Online from 29 October 2022
  • Receive Date: 04 September 2022
  • Revise Date: 24 October 2022
  • Accept Date: 26 October 2022