| 面向瓶颈多簇运动波消除的拥堵吸收智能驾驶模型 |
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| 引用本文： | 王顺超,李志斌,吴瑶,王秉通,黎萌. 面向瓶颈多簇运动波消除的拥堵吸收智能驾驶模型[J]. 中国公路学报, 2022, 35(1): 137-150. DOI: 10.19721/j.cnki.1001-7372.2022.01.012 |
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| 作者姓名： | 王顺超 李志斌 吴瑶 王秉通 黎萌 |
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| 作者单位： | 1. 东南大学交通学院, 江苏 南京 211189;2. 南京邮电大学现代邮政学院, 江苏 南京 210023 |
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| 基金项目： | 国家自然科学基金项目（71871057）；江苏省科研创新计划基金项目（KYCX21_0131） |
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| 摘 要： | 高速公路瓶颈运动波是诱发通行延误与事故风险主要原因.智能网联下精细化感知与精准化控制为消除运动波影响提供了技术环境.在构建一种在线、主动消除广域运动波的拥堵吸收智能驾驶模型的基础上,解析车头间距与运动波传播关联机制,确定运动波完全消除设计实施条件,提出消除单个运动波最佳驾驶策略;面向多簇运动波形成时间[位置[规模等特性...
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| 关 键 词： | 交通工程 智能驾驶模型 拥堵吸收驾驶理论 网联自动驾驶车辆 运动波 交通拥堵 |
| 收稿时间： | 2021-01-25 |
An Intelligent Jam-absorbing Driving Strategy for Eliminating Multiple Traffic Oscillations at Bottlenecks |
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| WANG Shun-chao,LI Zhi-bin,WU Yao,WANG Bing-tong,LI Meng. An Intelligent Jam-absorbing Driving Strategy for Eliminating Multiple Traffic Oscillations at Bottlenecks[J]. China Journal of Highway and Transport, 2022, 35(1): 137-150. DOI: 10.19721/j.cnki.1001-7372.2022.01.012 |
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| Authors: | WANG Shun-chao LI Zhi-bin WU Yao WANG Bing-tong LI Meng |
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| Affiliation: | 1. School of Transportation, Southeast University, Nanjing 211189, Jiangsu, China;2. School of Modern Posts, Nanjing University of Posts and Telecommunications, Nanjing 210023, Jiangsu, China |
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| Abstract: | Traffic oscillation in congested sections of expressway is the main cause of traffic delay and accident risks. The development of connected and automated technologies provides a new way to eliminate traffic oscillations and their negative effects. To eliminate multiple traffic oscillations and their vehicle collision risk, this study proposed a real-time synergetic jam-absorption driving model. Firstly, this study explored the relationship between the space headway and the propagation velocity of the oscillations, and determined the design and implementation conditions for eliminating oscillation, and an optimal jam-absorbing driving strategy was proposed to fully eliminate a single oscillation based on the system optimization theory. Then, considering the formation location, time and size of multiple oscillations, the optimal jam-absorbing driving strategy was extended to a synergetic jam-absorbing driving strategy to eliminate two consecutive traffic oscillations in real time. Lastly, to test safety and operation impacts of the driving strategies on the multi-oscillation bottlenecks of the freeway, three typical scenarios were constructed and simulated in a connected and automated environment. Additionally, the control performance of different driving strategies was compared and analyzed. The results show that the jam-absorbing driving model constructed by the research can quickly and effectively eliminate single or multiple continuous motion wave propagation, improve the operating efficiency of traffic flow by 5.52% to 8.42%, and effectively reduce the risk of accidents by 46.39% to 58.11%. The driving strategy can flexibly and effectively deal with different numbers, types, and severity of motion waves in real time, and has good performance under different control parameters. The smaller the distance between successive multi-oscillation is, the better the control effects the synergetic jam-absorption driving strategy obtains might be. Compared with implementing optimal jam-absorption driving strategy for multi-oscillations, the synergetic jam-absorption driving strategy shows better control effects. The research results are helpful to understand the elimination mechanism of the bottleneck oscillations of expressway, and support the construction of intelligent vehicle driving strategy under the intelligent network connection. |
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| Keywords: | traffic engineering intelligent driving model jam-absorption driving theory connected and automated vehicles oscillation traffic jam |
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