大型货运车辆生态驾驶及节油潜力评估

改善驾驶行为、推广生态驾驶是未来降低机动车辆燃油消耗和污染排放的重要潜在方式.分析由车辆远程在线监控技术(OBD)获取的199辆大型货车在观测的4 d内的位置、速度、油耗等微观运行状态的逐秒数据，提出判定急加速、过急加速、急减速、过急减速和超长怠速等5种不良驾驶行为的统计方法，并建立面板数据固定效应回归模型分析5种不良驾驶行为对大型货车油耗的影响，进而定量评估改善不良驾驶行为的节油潜力.研究结果表明，超长怠速和过急减速行为会显著增加大型货车的油耗，减少超长怠速时间和过急减速行为的节油潜力分别可达2.6%和3.8%.

Evaluation of Eco-driving Behavior and Fuel-saving Potential of Large Freight Vehicles

Improving driving behavior and promoting eco- driving are important approaches to reduce fuel consumption and pollution emissions of on- road vehicles in the future. We collect on- board diagnostic (OBD) system data with the position, speed, and fuel consumption per second from 199 heavy- duty freight vehicles in four days. We propose statistical measures to judge five inefficient driving behaviors, including rapid acceleration, over- rapid acceleration, rapid deceleration, over- rapid deceleration, and excess idle time. We further establish a panel data based fixed effects model to estimate the effects of inefficient driving behaviors on fuel efficiency as well as fuel-saving potentials of improving these behaviors. Our results show that excess idle time and over-rapid deceleration significantly increase fuel consumption, and the fuel-saving potentials are 2.6% and 3.8%, respectively.