Volume 21 Issue 4
Sep.  2021
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Article Navigation >  Journal of Traffic and Transportation Engineering  > 2021  >  21(4): 259-268
WU Yi-ping, LI Hai-jian, ZHAO Xiao-hua, XING Guan-yang, CHEN Yu-fei, FU Qiang. Effect of fog weather warning system under cooperative vehicle infrastructure on vehicle operating eco-characteristics[J]. Journal of Traffic and Transportation Engineering, 2021, 21(4): 259-268. doi: 10.19818/j.cnki.1671-1637.2021.04.020
Citation: WU Yi-ping, LI Hai-jian, ZHAO Xiao-hua, XING Guan-yang, CHEN Yu-fei, FU Qiang. Effect of fog weather warning system under cooperative vehicle infrastructure on vehicle operating eco-characteristics[J]. Journal of Traffic and Transportation Engineering, 2021, 21(4): 259-268. doi: 10.19818/j.cnki.1671-1637.2021.04.020
shu

Effect of fog weather warning system under cooperative vehicle infrastructure on vehicle operating eco-characteristics

doi: 10.19818/j.cnki.1671-1637.2021.04.020

  • Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing 100124, China

Funds:

National Key Research and Development Program of China 2019YFB1600500

More Information
  • Author Bio:

    WU Yi-ping(1990-), male, associate professor, PhD, wuyiping@bjut.edu.cn

  • Received Date: 2021-02-26
    Available Online: 2021-09-16
  • Publish Date: 2021-08-01
    Abstract
  • To explore the effectiveness of cooperative vehicle infrastructure (CVI) technology on vehicle operating eco-characteristics, a fog weather warning system under CVI condition was built based on the driving simulation experiment platform. The fuel consumption and emission features of driving vehicles under the heavy fog weather environment were tested. Four testing scenes, including blank control group, group of warning by dynamic message sign (DMS), group of warning by human machine interface (HMI), and group of warning by DMS+HMI, were designed. A driving simulator experiment was carried out by recruiting 43 drivers. The effects of different warning methods on vehicle operating eco-characteristics were obtained by comparing the differences in vehicle fuel consumption and emissions as a whole and on key sections of the road. Analysis results show that compared with the blank group, the three types of fog weather warning systems under CVI can significantly reduce the overall fuel consumption and emissions of vehicles. However, the effects of the different warning methods are not significantly different. The road scene is divided into pre-warning, warning, gradient and fog zones, and the three warning systems can effectively reduce vehicle fuel consumption and emissions in the warning and gradient zones. The HMI takes effect as the warning message is issued, and the DMS is effective before the vehicle enters the warning zone. The DMS+HMI has the most significant effect in the warning zone, but it can not effectively reduce the vehicle fuel consumption and emissions after the vehicle enters the fog zone. Therefore, although fog weather warning system under CVI can improve the overall eco-characteristics of vehicle operation, it can not effectively guarantee energy savings and emission reduction effect of different sections in the fog-affected area by only increasing the warning intensity or changing the warning mode. The matching relationship among different warning modes, warning information trigger points and timing, driver characteristics and other factors should be comprehensively considered in a reasonable setting of the fog weather warning system under CVI. 4 tabs, 8 figs, 30 refs.

     

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