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A Sustainable Approach to Modeling Human-Centric and Energy-Efficient Vehicle Acceleration Profiles in Non-Car-Following Scenarios

Author

Listed:
  • Wei Deng

    (School of Big Data Statistics, Guizhou University of Finance and Economics, Guiyang 550025, China)

  • Yi Luo

    (School of Management, Guizhou University of Commerce, Guiyang 550014, China)

  • Shaopeng Yang

    (School of Management, Guizhou University of Commerce, Guiyang 550014, China)

  • Yini Ren

    (Department of Rail Transit Engineering, Guizhou Communications Polytechnic University, Guiyang 551400, China)

  • Dongyi Hu

    (School of Big Data Statistics, Guizhou University of Finance and Economics, Guiyang 550025, China)

  • Yong Shi

    (School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, China)

Abstract

Previous studies have described vehicle acceleration profiles in non-car-following scenarios; however, the underlying mechanisms governing these profiles remain incompletely understood. This study aims to enhance the understanding of these mechanisms by proposing an improved model based on an optimal control problem with two bounded conditions (OCP2B), segmenting vehicle acceleration curves into three distinct phases. Specifically, the proposed model imposes constraints on acceleration through maximum jerk and maximum acceleration functions, thereby capturing essential dynamics previously unexplained by conventional models. Our key contributions include establishing a comprehensive analytical framework for accurately describing vehicle acceleration profiles and elucidating critical characteristics overlooked in the prior literature. Our findings demonstrate that incorporating human-centric considerations, such as driving comfort, significantly enhances the model’s practical applicability. Moreover, the proposed approach provides crucial insights for designing autonomous vehicle (CAV) trajectories consistent with human driving behaviors and effectively predicts the movements of human-driven vehicles (HVs), thus facilitating smoother interactions and potentially reducing conflicts between CAVs and HVs.

Suggested Citation

  • Wei Deng & Yi Luo & Shaopeng Yang & Yini Ren & Dongyi Hu & Yong Shi, 2025. "A Sustainable Approach to Modeling Human-Centric and Energy-Efficient Vehicle Acceleration Profiles in Non-Car-Following Scenarios," Sustainability, MDPI, vol. 17(14), pages 1-20, July.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:14:p:6481-:d:1702258
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    References listed on IDEAS

    as
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