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| 1 | 复杂网络中观交通流动态限速控制策略研究显示文摘为研究大数据时代下的复杂性科学问题,利用当前新兴的复杂网络理论结合改进的交通流仿真模型,研究可变限速对动态交通的影响,进而分析了不同的网络结构下最优的可变限速控制策略。结果表明最优的可变限速控制策略可以优化网络的交通状态。结论有助于帮助交通管理部门提出合理的交通规划方案以及制定有效的交通管理及控制措施。 | 李树彬 傅白白 孙涛 党文修 高歌 | 2017 | 复杂系统与复杂性科学2017，14，4： | 1 |
| 2 | A new continuum model with driver's continuous sensory memory and preceding vehicle's taillight显示文摘Car taillights are ubiquitous during the deceleration process in real traffic,while drivers have a memory for historical information.The collective effect may greatly affect driving behavior and traffic flow performance.In this paper,we propose a continuum model with the driver's memory time and the preceding vehicle's taillight.To better reflect reality,the continuous driving process is also considered.To this end,we first develop a unique version of a car-following model.By converting micro variables into macro variables with a macro conversion method,the micro carfollowing model is transformed into a new continuum model.Based on a linear stability analysis,the stability conditions of the new continuum model are obtained.We proceed to deduce the modified KdV-Burgers equation of the model in a nonlinear stability analysis,where the solution can be used to describe the propagation and evolution characteristics of the density wave near the neutral stability curve.The results show that memory time has a negative impact on the stability of traffic flow,whereas the provision of the preceding vehicle's taillight contributes to mitigating traffic congestion and reducing energy consumption. | Cong Zhai Weitiao Wu | 2020 | Communications in Theoretical Physics2020，72，10： | 0 |
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