适应性
非线性系统
格子(音乐)
计算机科学
流量(计算机网络)
统计物理学
理论(学习稳定性)
流量(数学)
应用数学
控制理论(社会学)
机械
数学
物理
人工智能
机器学习
生态学
计算机安全
量子力学
声学
生物
控制(管理)
作者
Tao Wang,Sainan Zhang,Zhen Li,Shubin Li,Yuan Jing,Jing Zhang
标识
DOI:10.1142/s0217979221502064
摘要
To further enhance the adaptability of traffic model in actual traffic flow, this paper puts forward a lattice model with considering both the predictive effect and the continuous density of historical information. The critical stability condition is derived from linear stability analysis, and the phase diagram clearly shows that considering the predictive effect and the continuous historical density information is beneficial to reduce traffic congestion. Then, a mKdV equation is obtained by nonlinear analysis, which enable to depict the development process of blocked flow. Finally, the numerical simulation results are confirmed that the predictive effects and continuous historical density information have the ability to suppress traffic congestion.
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