| 引用本文: | 唐毅,刘卫宁,孙棣华,唐亮,张建厂.考虑前后车辆综合效应的跟驰模型及其稳定性分析[J].哈尔滨工业大学学报,2014,46(2):115.DOI:10.11918/j.issn.0367-6234.2014.02.021 |
| TANG Yi,LIU Weining,SUN Dihua,TANG Liang,ZHANG Jianchang.A new car following model with considering the synergy effect of ahead-backward vehicles and its stability analysis[J].Journal of Harbin Institute of Technology,2014,46(2):115.DOI:10.11918/j.issn.0367-6234.2014.02.021 |
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| 考虑前后车辆综合效应的跟驰模型及其稳定性分析 |
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唐毅1,2, 刘卫宁1, 孙棣华3, 唐亮3, 张建厂3
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(1.重庆大学 计算机学院, 400044 重庆; 2.重庆高速公路集团有限公司, 401121 重庆; 3.重庆大学 自动化学院, 400030 重庆)
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| 摘要: |
| 为了进一步增强车流的稳定性,通过分析后视效应和前车优化速度差信息的综合作用,在FVD模型基础上,建立新的BL＆OVD模型．通过线性稳定性分析,得到新模型的稳定性判据．采用非线性分析方法,推导出mKdV方程用于描述系统临界稳定点附近的交通拥塞演变规律．数值仿真结果表明,综合考虑后视效应和最优速度差信息能有效抑制车流随机干扰信号在车流中传播放大,提高车流稳定性,从而舒缓交通拥堵．该模型对车流有进一步的致稳作用,有助于车辆自动驾驶系统中驾驶策略的设计． |
| 关键词: 交通流 跟驰模型 综合效应 非线性分析 |
| DOI：10.11918/j.issn.0367-6234.2014.02.021 |
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| 基金项目:教育部博士点专项基金资助项目(20090191110022)． |
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| A new car following model with considering the synergy effect of ahead-backward vehicles and its stability analysis |
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TANG Yi1,2, LIU Weining1, SUN Dihua3, TANG Liang3, ZHANG Jianchang3
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(1. College of Computer Science,Chongqing University,400044 Chongqing, China;2. Chongqing Expressway Group Co., Ltd., 401121 Congqing, China; 3. College of Automation,Chongqing University, 400030 Chongqing,China)
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| Abstract: |
| To enhance further the stability of traffic flow, based on the FVD (full velocity difference) model,a new car following model named BL＆OVD model is proposed by incorporating the synergy effect of backward looking and optimal velocity difference information. By applying the linear stability theory, the linear stability condition of the new model is obtained and the modified Korteweg-de Vries (mKdV) equation is established with nonlinear analysis to describe the propagating behavior of traffic jam near the critical point. The simulation results show that the amplification of random disturbance signal in traffic flow can be reduced effectively with the new consideration, which means that the proposed approach can stabilize the traffic flow and suppress the traffic congestion. The new model can stabilize the traffic flow further, and help to design the vehicle driving strategy in the autopilot system. |
| Key words: traffic flow car following model comprehensive effect nonlinear analysis |
