信控进口道异质交通流换道控制策略OA
Lane-changing control strategy for heterogeneous traffic flow at signalized control entrance lane
为减少车辆换道对进口道交通流运行的负面影响,提出一种信控进口道环境下的异质交通流换道控制策略.进行了交通流分析及进口道功能区域划分,并据此构建虚拟换道区;分析车辆换道影响因素,提出了基于虚拟换道区的异质交通流换道控制策略;搭建了元胞自动机交通流模型,确定跟驰规则;以交通流运行速度为评价指标,进行不同进车概率环境下的仿真分析,并验证基于虚拟换道区的换道策略有效性.结果表明:虚拟换道区最优长度为150 m,虚拟换道区最优长度下的换道策略进车概率关键控制点为0.5,相较于传统换道策略,当进车概率大于等于0.5时,基于虚拟换道区的换道策略可使交通流运行速度提高32.61%,反之传统换道策略效果更优.
To reduce the negative impact of vehicle lane-changing on the traffic flow operation of entrance lane,the lane-changing control strategy of heterogeneous traffic flow at the signalized control entrance lane was proposed.The traffic flow was analyzed,and the function area of entrance lane was divided to construct the virtual lane-changing area.The influence factors on vehicle lane-changing were analyzed,and the lane-changing control strategy of heterogeneous traffic flow based on virtual lane-changing zone was proposed.The traffic flow model of cellular automata was built,and the following rules were determined.Taking the traffic flow speed as evaluation index,the simulation analysis under different entering probability environment was carried out,and the lane-changing strategy was verified based on the virtual lane-changing area.The results show that the optimal length of virtual lane-changing zone is 150 m,and the key control point of the entering probability of the lane-changing strategy under the optimal length of virtual lane-changing zone is 0.5.Compared with the traditional lane-changing strategy,when the entering probability is greater than or equal to 0.5,the lane-changing strategy based on the virtual lane-changing zone can increase the running speed of traffic flow by 32.61%.On the contrary,the effect of traditional lane-changing strategy is better.
吕悦晶;王欣悦;张萌萌;张宏;冯雨芹
武汉科技大学 汽车与交通工程学院,湖北武汉 430070武汉科技大学 汽车与交通工程学院,湖北武汉 430070山东交通学院 交通与物流工程学院,山东济南 250357内蒙古大学交通学院,内蒙古呼和浩特 010070海南热带海洋学院 崖州湾创新研究院,海南三亚 572022||海南热带海洋学院国际航海学院,海南三亚 572022
交通工程
异质交通流进口道换道行为控制策略元胞自动机
heterogeneous traffic flowentrance lanelane-changing behaviorcontrol strategycellular automata
《江苏大学学报(自然科学版)》 2026 (5)
526-534,9
国家自然科学基金资助项目(62362053,52102412)山东省自然科学基金资助项目(ZR2021MF019)
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