An evaluation of Intelligent Transport System: A case study of the Bus Rapid Transit (BRT) Rea-Vaya in Johannesburg, South Africa

Abstract

This study focuses on the evaluation of intelligent transport systems making use of the BRT-Rea-vaya in Johannesburg as a case study. This study was motivated by the observation that few studies have been conducted in the study area that tackle explicitly intelligent transport systems evaluation. Intelligent transport systems can assist in improving private and public transportation systems and operations performance. In the public sector where various modes of transport such as the taxi, metro bus, metro rail, Gautrain and the BRT Rea-vaya operates, intelligent transport systems present opportunities for improving Level of Service (LOS) delivery. In Johannesburg, the BRT Rea vaya system was adopted by the Johannesburg metropolitan municipality to provide a safe, reliable, efficient and accessible public transport system. The BRT Rea vaya system is aimed at providing a better public transport, operating systems and service. For the BRT Rea vaya systems to achieve its primary goals and objectives, an intelligent transport system was incorporated to better manage the BRT Rea-vaya systems operations and activities. The study disclosed the status quo, opinions and attitudes of commuters regarding their experiences with the BRT Rea vaya public transport systems in Johannesburg. Furthermore, the study investigated whether the original objectives and aims of intelligent transport system in the BRT Rea-vaya have been meet. A central theme of the investigation is seeking to understand constraints and opportunities regarding BRT Rea-vaya intelligent transport systems‘ operations and activities in Johannesburg. The use of primary and secondary data such as questionnaires, key informant interviews, observation, journals and previous researches related to intelligent transport systems were used to acquire an in-depth understanding of the operational management of BRT Rea-vaya intelligent transport system. Collected data was analyzed using Statistical Package for Social Sciences (SPSS) with the aid of Microsoft Excel making use of descriptive statistics, regression analysis, cross tabulation and chi-square test. This was presented using tables, graphs, maps etc. Qualitative data was analyzed making use of a thematic approach. The study resonates in the need for rapid public transport systems to provide lessons for improving and adopting intelligent transport systems. As an end product, the research provided a framework of analysis on how to integrate intelligent transport systems in the context of Bus rapid transit systems.