Volume 40 Issue 4
Aug.  2022
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CHEN Zhijun, ZHANG Jingming, XIONG Shengguang, SU Zipeng, HU Junnan, WU Chaozhong. A Review on Research Status and Trends of Eco-driving on Intelligent Connected Vehicles[J]. Journal of Transport Information and Safety, 2022, 40(4): 13-25. doi: 10.3963/j.jssn.1674-4861.2022.04.002
Citation: CHEN Zhijun, ZHANG Jingming, XIONG Shengguang, SU Zipeng, HU Junnan, WU Chaozhong. A Review on Research Status and Trends of Eco-driving on Intelligent Connected Vehicles[J]. Journal of Transport Information and Safety, 2022, 40(4): 13-25. doi: 10.3963/j.jssn.1674-4861.2022.04.002

A Review on Research Status and Trends of Eco-driving on Intelligent Connected Vehicles

doi: 10.3963/j.jssn.1674-4861.2022.04.002
  • Received Date: 2022-07-06
    Available Online: 2022-09-17
  • In recent years, eco-driving has become a major research focus within intelligent connected vehicles, aiming to effectively alleviate problems such as energy consumption and emission by improving driving behaviors, which attracts the great attention from governments, businesses, universities, and research centers. Meanwhile, with the rapid advancement of intelligent networked vehicles, the networked environment provides new development opportunities for eco-driving. To analyze the research progress of eco-driving on intelligent connected vehicles, the influencing factors are analyzed from four aspects compared with traditional eco-driving: vehicle characteristics, drivers' personality, road traffic conditions, and social environment. The existing studies on intelligent connected eco-driving are summarized from two aspects: eco-driving control strategies and current status of eco-driving applications. To provide useful guidance and references for future research, the significance, application, and current problems of eco-driving are also discussed from three aspects: influencing factors, control strategies, and decision optimization. The analysis results show that the influencing factors of eco-driving under intelligent connected environment or traditional environment are relatively similar; however, the networked sensors and communication conditions have greater impacts on eco-driving under the intelligent connected environment. Compared with traditional eco-driving, the control strategies and decision optimization for eco-driving under the intelligent connected environment consider more complex driving conditions, as well as global eco-driving at multi-vehicle levels. In addition, with the rapid growth of new technologies, combining advanced technologies and adapting them to the development of the industry will become an inevitable trend of eco-driving on intelligent connected vehicles in the future.

     

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