Affiliations: [a] Graduate Program in Applied Computer Science, Itajaí Valley University (UNIVALI), Brazil
| [b] Department of Computer Engineering, Federal University of Technology - Paraná (UTFPR), Brazil
| [c] Department of Electrical Engineering, Blumenau Regional University (FURB), Brazil
| [d] Department of Automation and Systems Engineering, Federal University of Santa Catarina (UFSC), Brazil
Abstract: This paper presents adjustments and validation of a model for the process of passenger boarding and alighting of BRT (Bus Rapid Transport) and express bus systems. Such models are of fundamental importance for the implementation of strategies to control the operation of those systems, which allow for quality and efficiency gains in the service. First, a generalized disjunctive programming model is presented in order to adapt a bus headway control formulation according to the number of onboard passengers. Later, as a way to improve the model, real data were collected from the boarding/alighting times of passengers in the Trunk line 10 system in the city of Blumenau, Brazil. These data were used in a two-stage fuzzy regression to take into account the uncertainties associated with the dwell time of the passengers. The actual data collected were used in simulations of the enhanced bus headway control system, showing that even in the presence of disturbances, the system can still operate properly without bunching.
Keywords: Fuzzy regression, BRT systems, headway control, dwell time, GDP
