Development of a driving cycle for Colombo, Sri Lanka: an economical approach for developing countries

Abstract

Summary Financial constraints and lack of availability of traffic‐related information significantly hinder the development of driving cycles in developing countries. This paper proposes an economical, practical, accurate methodology for the development of driving cycles, including the development of a driving cycle for Colombo, Sri Lanka. The proposed methodology captures regional traffic and road conditions and selects a model that represents the collected data sample with minimum available traffic‐related information. Existing methods were modified for route selection by dividing routes into links using nodes or physical junctions to minimize the number of trips required for data collection. Speed–time data for respective links were used to reconstruct speed–time profiles of identified origin–destination pairs. The on‐board method was used for data collection, and the Markov chain theory was used to develop a transition probability matrix of state changes. An additional matrix was introduced to the existing method to improve model representativeness to the collected data sample. Copyright © 2016 John Wiley & Sons, Ltd.

Development of a Representative EV Urban Driving Cycle Based on a k-Means and SVM Hybrid Clustering Algorithm

“…According to the existing literature, eight characteristic parameters are selected: the maximum speed, minimum speed, average speed, standard deviation of speed, maximum acceleration, maximum deceleration, average acceleration, and standard deviation of acceleration [30,33,36].…”

“…The driving cycle is constructed by connecting the most representative driving segments according to predetermined rules until the driving cycle duration is reached. Generally, the duration of the general international standard driving cycles and real-world representative driving cycles is between 600 s and 1800 s. Therefore, according to the Hong Kong, Colombo, and Sydney driving cycles, the duration of the Xi'an EV urban driving cycle in this paper is set to 1200 s [17,33,36,43]. Then, the duration of each driving segment class in the constructed Xi'an EV urban driving cycle is determined based on experimental data.…”

“…The test routes must cover various urban road types, business and nonbusiness districts, densely populated areas and nonpopulated areas and consider the urban topological structure, driving speed, traffic flow, travel time, and origin-destination (O-D) pattern [30,[33][34][35]. First, the overall topological structure of urban roads in Xi'an was analyzed using ArcGIS software.…”

“…A global position system (GPS) is installed in the test car to collect data, and a large number of driving characteristics are simulated and sampled through the car-following process. Chase car method has been commonly adopted due to its low cost requirements [17,27,33,35]. Considering on-board measurement method and chase car method has distinct merits and demerits, and this paper used a hybrid method of on-board measurement method and chase car method to collect test data.…”

Study on Driving Cycle Synthesis Method for City Buses considering Random Passenger Load

“…ere are various methodologies to develop a typical driving cycle, which can be substantially classified into four categories: microtrips, segment-based, pattern classification, and Markov chain method [32][33][34][35]. Microtrips are usually extracted from the measurement data sequence between two uninterrupted time points at which the vehicle is stopped [12].…”