myBas driving cycle for Kuala Terengganu city

Abstract

Driving cycles are series of data points that represent vehicle speed versus time sequenced profile developed for specific road, route, city or certain location. It is widely utilized in the application of vehicle manufacturers, environmentalists and traffic engineers. Since the vehicles are one of the higher air pollution sources, driving cycle is needed to evaluate the fuel consumption and exhaust emissions. The main objectives in this study are to develop and characterize the driving cycle for myBAS in Kuala Terengganu city using established k-means clustering method and to analyse the fuel consumption and emissions using advanced vehicle simulator (ADVISOR). Operation of myBAS offers 7 trunk routes and one feeder route. The research covered on two operation routes of myBAS which is Kuala Terengganu city-feeder and from Kuala Terengganu to Jeti Merang where the speed-time data is collected using on-board measurement method. In general, driving cycle is made up of a few micro-trips, defined as the trip made between two idling periods. These micro-trips cluster by using the k-means clustering method and matrix laboratory software (MATLAB) is used in developing myBAS driving cycle. Typically, developing the driving cycle based on the real-world in resulting improved the fuel economy and emissions of myBAS.

Developing a Representative Driving Cycle for Paratransit that Reflects Measured Data Transients: Case Study in Stellenbosch, South Africa

“…More recent papers have been more systematic about route selection, employing techniques such as Annual Average Daily Traffic (AADT) (Hung et al, 2007) to locate the most frequently used routes. Other studies that deal with developing driving cycles for public transport have used other methodologies such as employing surveyors with an aim to cover different activity patterns at and across different urban districts and time periods (Tong and Ng, 2021a,b;Nesamani and Subramanian, 2011), or selecting existing routes a typical commuter or target vehicle would take regularly (Norbakyah et al, 2021;Kivekäs et al, 2018a;Tong and Ng, 2023;Liu et al, 2020). The dataset used here is captured on three frequently used routes of distinct type in and around Stellenbosch, South Africa, (urban, inter-urban, and hilly) and at three distinct times of day (morning, midday, evening) to capture variation in traffic conditions.…”