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 |
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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 |
卷 | 42 |
期 | 12 |
DOI | |
出版状态 | 已出版 - 12月 2022 |
关键词
- eco-driving
- optimal control
- queue length estimation
- speed planning