主办：陕西省汽车工程学会
ISSN 1671-7988  CN 61-1394/TH
创刊：1976年
汽车实用技术

汽车实用技术 ›› 2022, Vol. 47 ›› Issue (3): 17-21.DOI: 10.16638/j.cnki.1671-7988.2022.003.004

• 智能网联汽车 • 上一篇    

基于熵权 TOPSIS 的高速干线物流卡车 司机驾驶行为评价

李 超，宋日昆   

  1. 东风柳州汽车有限公司
  • 发布日期:2022-04-12
  • 通讯作者: 李 超
  • 作者简介:李超（1989—），男，就职于东风柳州汽车有限公司，研究方向：智能网联汽车。
  • 基金资助:
    基金项目：广西创新驱动发展专项 （AA18242033），柳州市科技计划项目（2021AAA0112）。

Driving Behavior Evaluation for Line-haul Transportation Truck Based on Entropy Weight TOPSIS Model

LI Chao, SONG Rikun   

  1. Dongfeng Liuzhou Motor Co., Ltd.
  • Published:2022-04-12
  • Contact: LI Chao

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摘要： 随着燃油价格持续上涨及企业用工成本上升，通过智能网联技术实现车队的智能化管理从 而帮助物流企业降本增效成为人们关注的焦点。文章基于车联网采集的高分辨率车辆行驶数据， 从经济性、安全性角度出发提取 8 个驾驶行为特征指标，利用熵权法确定各指标权重，再采用 TOPSIS 模型计算实现了对各行程司机驾驶行为的评价，实例计算结果表明，该方法能客观、有效 地评价高速干线物流卡车司机驾驶行为，对物流企业开展生态驾驶培训、改善车队燃油经济性、 驾驶安全性具有重要的参考价值。随着智能网联汽车的到来，该方法还可以为自动驾驶车速规划 提供参考。

关键词: 车联网；驾驶行为分析；熵权法；TOPSIS 模型；智能网联汽车

Abstract: With the increasing price of fuel and labor costs, people focused on the research of internet of vehicles to improve transportation industry’s intelligent management for cost control. High resolution data were collected from internet of vehicles and eight indicators were selected for driving behavior evaluation both from economy and safety. Then by combining entropy weight methods and TOPSIS model, the driving behavior of the drivers of line-haul transportation truck could be objectively and effectively evaluated. This method could help transport companies to organize eco-driving training and reduce energy consumption. With the in-depth research of autonomous truck driving, this findings and analysis could also benefit for autonomous speed management strategy.

Key words: Internet of vehicles; Driving behavior; Entropy weight; TOPSIS; Intelligent connected vehicle