This study focuses on the effect of road slope on driving cycle parameters of urban driving. A driving cycle (DC) is a series of data points that capture a vehicle’s speed versus time and is a crucial factor for evaluating vehicular emission. In this study, vehicles were driven on Prishtina’s urban roads with different slopes. The driving cycles for each grade class were developed using approximately 40,000 s of real-time speed data. Micro-trips were extracted using a Python-based clustering algorithm. The results indicate that the acceleration and deceleration decreased as the negative slope decreased. Drivers tended to use sharper acceleration and deceleration on uphill and downhill roads, while the lowest values of kinematic parameter values were obtained for roads with grades ranging from −2 to 2; therefore, cities with road slope values beyond this range should consider sloped roads during the development of driving cycle. Furthermore, research on CO, HC and NOx emissions related to slopes shows that for the emissions, they are more sensitive to increase from flat to uphill with respect to increasing in downhill to flat sections.

本研究重点研究道路坡度对城市驾驶工况循环参数的影响。驾驶循环 (DC) 是捕捉车辆速度随时间变化的一系列数据点，是评估车辆排放的关键因素。在这项研究中，车辆在普里什蒂纳不同坡度的城市道路上行驶。每个等级的驾驶循环都是使用大约 40,000 秒的实时速度数据开发的。使用基于 Python 的聚类算法提取微行程。结果表明，加速度和减速度随着负斜率的减小而减小。驾驶员倾向于在上坡和下坡道路上使用更急剧的加速和减速，而运动学参数值的最低值在-2至2等级的道路上获得；所以，道路坡度值超出该范围的城市，在开发行驶工况时应考虑坡度道路。此外，对与斜坡相关的CO、HC和NOx排放的研究表明，相对于下坡到平坦路段的排放，它们对从平坦到上坡路段的增加更为敏感。