摘要
移动瓶颈是造成高速公路拥挤的重要原因之一,为有效缓解此问题,可考虑建立移动瓶颈与周围交通相互影响的微观-宏观模型。根据约束条件和优化目标建立内部预测模型,利用最小化成本函数评估模型对交通流的影响,提出一个流量控制模型,根据模型预测控制(model predictive control,MPC)方法对初始流量进行优化控制,利用Matlab进行宏观仿真分析。仿真结果表明:该控制方法相比于无控制条件下优化目标均提升5%以上,较好地提高了高速公路运行效率。考虑到未来几年自动驾驶汽车在交通网络中的渗透率不断上升,利用受控车流来调节交通具有一定的发展前景。
Moving bottleneck is one of the important causes of highway congestion.To effectively alleviate this problem,it is proposed to establish a micro-macro model of the interaction between moving bottleneck and surrounding traffic.An internal prediction model is built based on constraints and optimization goals,which can minimize costs.Based on the function to evaluate the impact of the model on traffic flow,a flow control model problem is proposed.According to the MPC(model predictive control)method,the initial flow is optimized and controlled,and the macro simulation analysis is performed using Matlab.The simulation results show that the control method improves the optimization target by more than 5%compared with the uncontrolled condition,and the highway operating efficiency is improved.In view of the fact that the permeability of automatic vehicles will continue to increase in the next few years,the use of controlled traffic flow to regulate the traffic has a promising prospects.
作者
徐建闽
杨招波
马莹莹
XU Jianmin;YANG Zhaobo;MA Yingying(School of Civil Engineering and Transportation,South China University of Technology,Guangzhou Guangdong 510641,China;Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies,Southeast University,Nanjing Jiangsu 210096,China)
出处
《广西师范大学学报（自然科学版）》
CAS
北大核心
2020年第3期1-10,共10页
Journal of Guangxi Normal University:Natural Science Edition
基金
广东省自然科学基金(2018A030313250)
国家自然科学基金(61873098)
广东省科技计划(2016A030305001)
中央高校基本科研业务费自然科学类资助(2018KZ17)。
