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为充分反映公交车停靠随机延误对交通流的影响,准确描述异质交通流车队离散规律,提高交叉口车流到达分布预测的精度和自适应信号控制系统的控制效率,在实证研究的基础上,考虑小汽车行程时间、公交行驶时间和停靠时间分布,假设车辆行程时间服从截断正态分布,并通过调查数据拟合分布,拟合决定系数在0.9以上,证明了假设的合理性。基于此,从流量的角度分别推导了公交车和小汽车的车队流量离散模型,进而分析了2种交通流之间的关系,建立了异质交通流车队流量离散模型。最后,通过实测数据分析了下游交叉口到达流量分布与上游交叉口离去流量分布之间的关系,并将该模型与Robertson模型和混合高斯模型进行对比。结果表明:异质交通流条件下,小汽车和公交车车队存在不同的到达分布规律,与小汽车车队相比,公交车车队到达下游的时间较晚且峰值较缓;与Robertson模型和混合高斯模型相比,所提出的模型不仅能够描述异质交通流条件下的车队离散规律,还能充分体现小汽车和公交车各自的车队离散规律,基于此可研究制定公交优先控制策略。研究成果可为离线信号配时、公交优先控制提供理论支持。
In order to fully reflect the impact of random delays of bus stops on traffic flow, accurately describe the discrete rules of heterogeneous traffic flow fleets, improve the accuracy of prediction of traffic arrival distribution at intersections and the control efficiency of adaptive signal control systems, on the basis of empirical research, Taking into account the car travel time, bus travel time and stop time distribution, assuming that the vehicle travel time obeys the normal distribution, and through the survey data fitting distribution, the fitting coefficient is above 0.9, which proves the rationality of the assumptions. Based on this, the fleet traffic discrete models of buses and cars are deduced respectively from the perspective of traffic flow, then the relationship between the two kinds of traffic flows is analyzed, and the traffic flow discrete model of heterogeneous traffic flow fleet is established. Finally, the relationship between the traffic distribution at the downstream intersection and the traffic distribution at the upstream intersection is analyzed by the measured data, and the model is compared with the Robertson model and the mixed Gaussian model. The results show that under the condition of heterogeneous traffic flow, the car and bus fleet have different arrival distribution rules. Compared with the car fleet, the bus fleet arrives downstream with a slower peak and a slower peak. Compared with the Robertson model and the mixed Gaussian Compared with the model, the proposed model can not only describe the fleet discretization law under the condition of heterogeneous traffic flow, but also fully reflect the fleet discretization rules of cars and buses. Based on this, we can study and formulate the bus priority control strategy. The research results can provide theoretical support for off-line signal timing and bus priority control.