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Soft Degradation of CAVs Based on Historical Dynamic Information
| 题名： | Soft Degradation of CAVs Based on Historical Dynamic Information |
| 正文语种： | eng |
| 作者： | Yichen Yang;Zuxing Li;Tianyu Cao;Yabin Li;Zhipeng Li |
| 作者单位： | Information Processing and Intelligent Transportation System Laboratory Dept. of Information and Communication Engineering College of Electronic and Information Engineering Tongji Univ. Shanghai 201804 China;Information Processing and Intelligent Transportation System Laboratory Dept. of Information and Communication Engineering College of Electronic and Information Engineering Tongji Univ. Shanghai 201804 China;Information Processing and Intelligent Transportation System Laboratory Dept. of Information and Communication Engineering College of Electronic and Information Engineering Tongji Univ. Shanghai 201804 China;Information Processing and Intelligent Transportation System Laboratory Dept. of Information and Communication Engineering College of Electronic and Information Engineering Tongji Univ. Shanghai 201804 China;Information Processing and Intelligent Transportation System Laboratory Dept. of Information and Communication Engineering College of Electronic and Information Engineering Tongji Univ. Shanghai 201804 China |
| 关键词： | Mixed traffic flow; Connected and automated vehicles (CAVs); Linear stability analysis; Degradation compensation |
| 摘要： | In recent years, many researchers have paid great attention to the transportation convenience and advantages brought by the future extensive use of connected and automated vehicles (CAVs). However, CAVs will degrade to lower-rank automated vehicles (AVs) when vehicle-to-vehicle (V2V) communication links are not available, which will cause a mess of traffic and even increase the risk of collision. How to avoid hard degradation of CAVs or to maintain the cooperative status based on the AVs information will be a highly concerning problem worth studying. This paper proposes a soft degradation strategy, in which the degraded CAVs will keep cooperative control only based on historical information of AVs. Specifically, the strategy uses historical information detected by onboard sensors to infer the acceleration of the preceding vehicle. Theoretical analysis shows that the proposed soft degradation strategy can significantly improve traffic flow stability caused by the degradation of CAVs. The direct numerical results are in good agreement with those of theoretical analysis. Compared with the existing strategies, our strategy can better improve traffic stability, safety, and fuel economy when CAVs degrade to AVs. These findings can give insights for traffic managers and vehicle designers to solve the degradation of CAVs. |
| 出版年： | 2023 |
| 期刊名称： | Journal of Transportation Engineering |
| 卷： | 149 |
| 期： | 12 |
| 页码： | 04023116.1-04023116.13 |
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