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Impact of safety assistance driving systems on oscillation magnitude, fuel consumption and emission in a car platoon

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  • Zhang, Xuan
  • Jia, Bin
  • Jiang, Rui

Abstract

This paper has studied the impact of safety assistance driving systems (SADS) on the oscillation magnitude, the fuel consumption and emission of a car platoon, in which the car-following dynamics are depicted by an improved two-dimensional intelligent driver model. It is shown that while the simple one-regime SADS is able to suppress the oscillation magnitude, the fuel consumption and emission increase. This is due to many small high frequency oscillations of velocities. We have proposed a two-regime SADS, in which “very dangerous” regime and “not so dangerous” regime have been classified. Simulation shows that with the introduction of the two-regime SADS, both the fuel consumption and emission decrease, since the deceleration of vehicles is pretty gentle. We further showed that performance of the multi-regime SADS is the same as that of the two-regime SADS in terms of the fuel consumption and emission.

Suggested Citation

  • Zhang, Xuan & Jia, Bin & Jiang, Rui, 2018. "Impact of safety assistance driving systems on oscillation magnitude, fuel consumption and emission in a car platoon," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 995-1007.
    • Handle: RePEc:eee:phsmap:v:505:y:2018:i:c:p:995-1007
    DOI: 10.1016/j.physa.2018.04.033
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    References listed on IDEAS

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    1. Yu, Shaowei & Zhao, Xiangmo & Xu, Zhigang & Shi, Zhongke, 2016. "An improved car-following model considering the immediately ahead car’s velocity difference," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 461(C), pages 446-455.
    2. Tang, Tie-Qiao & Yi, Zhi-Yan & Lin, Qing-Feng, 2017. "Effects of signal light on the fuel consumption and emissions under car-following model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 200-205.
    3. Gipps, P.G., 1981. "A behavioural car-following model for computer simulation," Transportation Research Part B: Methodological, Elsevier, vol. 15(2), pages 105-111, April.
    4. Jin, Sheng & Wang, Dianhai & Tao, Pengfei & Li, Pingfan, 2010. "Non-lane-based full velocity difference car following model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(21), pages 4654-4662.
    5. Li, Zhipeng & Chen, Lizhu, 2014. "Effects of intelligent control mechanism on multiple-vehicle collision under emergency," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 404(C), pages 16-25.
    6. Liu, Fangxun & Cheng, Rongjun & Ge, Hongxia & Yu, Chenyan, 2016. "A new car-following model with consideration of the velocity difference between the current speed and the historical speed of the leading car," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 464(C), pages 267-277.
    7. Li, Xiaopeng & Cui, Jianxun & An, Shi & Parsafard, Mohsen, 2014. "Stop-and-go traffic analysis: Theoretical properties, environmental impacts and oscillation mitigation," Transportation Research Part B: Methodological, Elsevier, vol. 70(C), pages 319-339.
    8. Jiang, Rui & Hu, Mao-Bin & Zhang, H.M. & Gao, Zi-You & Jia, Bin & Wu, Qing-Song, 2015. "On some experimental features of car-following behavior and how to model them," Transportation Research Part B: Methodological, Elsevier, vol. 80(C), pages 338-354.
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    Cited by:

    1. Hongxing Zhao & Ruichun He & Xiaoyan Jia, 2019. "Estimation and Analysis of Vehicle Exhaust Emissions at Signalized Intersections Using a Car-Following Model," Sustainability, MDPI, vol. 11(14), pages 1-25, July.
    2. Zhu, Liling & Tang, Yandong & Yang, Da, 2021. "Cellular automata-based modeling and simulation of the mixed traffic flow of vehicle platoon and normal vehicles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 584(C).
    3. Li, Haijian & Zhang, Junjie & Sun, Xiaoliang & Niu, Jun & Zhao, Xiaohua, 2022. "A survey of vehicle group behaviors simulation under a connected vehicle environment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 603(C).

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