Development of bus driving cycles using a cost effective data collection approach

Driving cycles are important for vehicle performance evaluations including emissions and fuel/energy consumption estimations. The franchised bus services currently being extensively used in Hong Kong, however, no driving cycle has been developed specifically buses. Therefore, this study a set of using cost effective data collection approach. On-road speed were collected the built-in GPS function smartphones Based on an analysis structure route network statistical properties data, five significantly different patterns Kong identified. Separate then each identified pattern namely Pattern I(a): Inter-districts; I(b): Within District; II(a): Peaks; II(b) Off Peak (Day); II(c): (Night). These indicated longer idling more aggressive acceleration/deceleration characteristics as compared to other international cycles. Bus operators regulating authorities can select appropriate traditional/electric emission and/or energy estimations under specific patterns. also fill knowledge gap providing representative platform testing Kong.