基于视频检测技术的交叉口车辆排队长度研究

Study on Vehicle Queue Length at Crossroads Based on Visual Detection Technology

为科学合理地解决城市道路信号控制交叉口机动车交通流通行能力的计算问题,在分析大量实测数据的基础上,提出了对信号控制交叉口描述强拥挤交通流的当量排队长度模型--OEQL模型和MAEQL模型的修正模型,所建立模型的预测结果更加符合实际交通状况。这些模型的建立,为更精确的描述机动车车流在信号交叉口的状态,优化信号灯配时奠定了基础。

To calculate the vehicle passing capacity at urban crossroads installed with signal detectors and after analyzing a large quantity of empirical data, the paper proposes the equivalent queue length model to describe the highly congested vehicle flow at the crossroads by modifying the OEQL and MAEQL models, which can yield predictions fitting more closely with practical traffic conditions.