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On-Ramp Merging Strategy with Two-Stage Optimization Based on Fully Proactive and Cooperative Merging of Vehicles
| 题名： | On-Ramp Merging Strategy with Two-Stage Optimization Based on Fully Proactive and Cooperative Merging of Vehicles |
| 正文语种： | eng |
| 作者： | Shi Hui Wang;Min Zhao;DiHua Sun;Yuanpeng Zou |
| 作者单位： | Key Laboratory of Dependable Service Computing in Cyber Physical Society of Ministry of Education Chongqing Univ. Chongqing 400044 China College of Automation Chongqing Univ. No. 174 Shazheng St. Shapingba District Chongqing 400044 China;Key Laboratory of Dependable Service Computing in Cyber Physical Society of Ministry of Education Chongqing Univ. Chongqing 400044 China College of Automation Chongqing Univ. No. 174 Shazheng St. Shapingba District Chongqing 400044 China;Key Laboratory of Dependable Service Computing in Cyber Physical Society of Ministry of Education Chongqing Univ. Chongqing 400044 China，College of Automation Chongqing Univ. No. 174 Shazheng St. Shapingba District Chongqing 400044 China;School of Foreign Languages and Cultures Chongqing Univ. No. 174 Shazheng St. Shapingba District Chongqing 400044 China |
| 关键词： | On-ramp merging; Fully proactive and cooperative merging (FPCM) strategy; Two-stage optimized framework; Heuristic optimization algorithm; Maximum speed |
| 摘要： | The on-ramp area has been a hot spot for research as a bottleneck area. In this paper, an on-ramp cooperative merging control strategy is proposed to make full use of active cooperative vehicles, and alleviate the negative influence of merging on the main road. First, a two-stage framework is proposed to illustrate the merging strategy. At the vehicle level, the cooperative merging controllers of vehicles are designed based on an optimization algorithm that considers the penalty function. At the traffic level, the cooperative distance of the upstream and downstream vehicles at the main road target merging position are optimized to improve merging efficiency. Meanwhile, to ensure the implementation of the proposed strategy in mixed traffic, we propose a method to determine the lead vehicles based on the proximity principle. Numerical experiments were performed to verify the fully proactive and cooperative merging (FPCM) strategy, the effectiveness of the vehicle cooperative controllers, the necessity of optimizing the cooperative distance, the effect of different velocities on the main road and ramp, and the effectiveness of determining the lead vehicles. In the case of multivehicle merging, the proposed strategy can improve merging efficiency by 44.42% and save fuel consumption by 39.11%. In the case of a single merging vehicle, the optimized proposed strategy can improve merging efficiency by 48.4% and save fuel consumption by 31.4%. Finally, the simulation experiments for the different maximum speeds of vehicles show that a sufficient speed adjustment range can improve the advantages of the strategy. |
| 出版年： | 2023 |
| 期刊名称： | Journal of Transportation Engineering |
| 卷： | 149 |
| 期： | 4 |
| 页码： | 04023005.1-04023005.21 |
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