基于排队长度估计的网联车辆节能车速规划方法

Chuntao Zhang, Jianghao Leng, Bo Wang, Chao Sun*, Xingyu Zhou

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

1 引用 (Scopus)

摘要

Aiming at speed planning problems for connected vehicles traveling through multiple traffic signals under a dynamic traffic environment, an eco-driving method was proposed based on real-time queue length estimation. Firstly, a radial basis function neural network was constructed and trained to estimate queue length at intersection. Then, in the frame of optimal control, the traffic queuing was mathematically modeled together with traffic signals to formulate a speed profile optimization problem. Finally, the proposed decoupling transformation method was used to calculate a reference speed profile efficiently. Simulation results reveal that the proposed method can provide smoother actual speed profiles and save more than 40% energy compared with the traditional eco-driving method without considering the traffic queuing.

投稿的翻译标题An Eco-Driving Method with Queue Length Estimation for Connected Vehicles
源语言繁体中文
页(从-至)1256-1263
页数8
期刊Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
42
12
DOI
出版状态已出版 - 12月 2022

关键词

  • eco-driving
  • optimal control
  • queue length estimation
  • speed planning

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引用此

Zhang, C., Leng, J., Wang, B., Sun, C., & Zhou, X. (2022). 基于排队长度估计的网联车辆节能车速规划方法. Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology, 42(12), 1256-1263. https://doi.org/10.15918/j.tbit1001-0645.2021.368