城市主干路拥挤路段基于地点交通参数的行程速度估计

以提高基于地点交通参数估计主干路拥挤交通流平均行程速度的精度为目标,通过分析信号控制主干路的交通流特性及地点交通参数与平均行程速度之间的相关关系,以路段下游停车线前的截面平均速度为基础,提出了城市主干路拥挤交通流路段平均行程速度的3种估计模型,并采用仿真手段进行了对比分析。结果表明,所提出的全状态行程速度估计模型明显优于对比方法,所提出的两种分状态平均行程速度估计模型可以进一步改善全状态模型的估计效果,尤其是基于模比系数的分状态估计模型可显著提高拥挤条件下的行程速度估计精度。

Travel speed estimation for congested arterial road segment based on spot traffic parameters

Three estimation models were built to improve the estimation accuracy of the average travel speed(ATS) on the congested arterial road segment based on the spot traffic parameters. The traffic flow characteristics of the signalized intersection of the arterial road and the relationship between the spot traffic parameters and the ATS were analyzed, and the average section speed measured by the loop detectors laid on the downstream sections was used as the basis of the model. These models were analyzed comparatively by the traffic simulations. The results show that the proposed full-state ATS estimation model significantly outperforms the competitors, and the two sub-state ATS estimation models based on the modulus coefficient may improve the estimation accuracy under the congestion traffic condition.