Authors: Renata Dantas; Jamilson Dantas; Gabriel Alves; Paulo Maciel
Addresses: Informatics Centre, Federal University of Pernambuco, UFPE – Recife, Brazil; Federal Institute of Education, Science and Technology of Pernambuco (IFPE), Campus Recife, Brazil ' Informatics Centre, Federal University of Pernambuco, UFPE – Recife, Brazil ' Department of Statistics and Informatics (DEINFO), Federal Rural University of Pernambuco (UFRPE), Recife-PE, Brazil ' Informatics Centre, Federal University of Pernambuco, UFPE – Recife, Brazil
Abstract: Large cities have increasing mobility problems due to the large number of vehicles on the streets, which results in traffic jams and the eventual a waste of time and resources. An alternative to improve traffic is to prioritise the public transportation system. Several metropolises around the world are adopting bus rapid transit (BRT) systems since they present compelling results considering the cost-benefit perspective. The evaluating metrics such as performance, reliability, and performability aids in the planning, monitoring, and optimising of the BRT systems. This paper presents hierarchical models, using CTMC modelling techniques, to assess metrics such as performance and performability. The results show that these models pointed to the peak intervals that are more likely to arrive at the destination in a shorter time, in addition to showing the probability of the vehicle being affected by the failure at each interval. It was also possible to establish bases for the replication of the model in different scenarios to enable new comparative studies.
Keywords: bus rapid transit; BRT; CTMC; performability analysis.
International Journal of Data Mining, Modelling and Management, 2019 Vol.11 No.1, pp.64 - 86
Received: 27 Jun 2017
Accepted: 09 Mar 2018
Published online: 11 Oct 2018 *