交通运输系统工程与信息

交通运输系统工程与信息 ›› 2020, Vol. 20 ›› Issue (6): 253-258.

• 案例分析 • 上一篇    

大型货运车辆生态驾驶及节油潜力评估

程颖1,2，张佳乐3a，张少君3a，郭继孚*2，张达3b   

  1. 1. 北京工业大学 城市交通学院，北京 100124；2. 北京交通发展研究院，北京 100073； 3. 清华大学 a. 环境学院，b. 能源环境经济研究所，北京 100084
  • 收稿日期:2020-04-01 修回日期:2020-08-04 出版日期:2020-12-25 发布日期:2020-12-25
  • 作者简介:程颖(1988-)，女，湖北孝感人，博士生.
  • 基金资助:

    国家重点研发计划/National Key Research and Development Project of China (2017YFC0213001).

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

CHENG Ying1, 2, ZHANG Jia-yue3a, ZHANG Shao-jun3a, GUO Ji-fu2, ZHANG Da3b   

  1. 1. College of Metropolitan Transportation, Beijing University of Technology, Beijing 100124, China; 2. Beijing Transportation Institute, Beijing 100073, China; 3a. School of Environment, 3b. Institute of Energy, Environment and Economy, Tsinghua University, Beijing 100084, China
  • Received:2020-04-01 Revised:2020-08-04 Online:2020-12-25 Published:2020-12-25

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摘要：

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%.

关键词: 公路运输, 生态驾驶, 多重固定效应回归, 大型货车, 燃油效率, 燃油经济性

Abstract:

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.

Key words: highway transportation, eco- driving, multiple fixed effects regression, freight vehicles, fuel efficiency, fuel economy

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