基于小样本浮动车系统的平均行程时间估计

摘要

针对浮动车技术的特性以及低浮动车采样率条件下信号交叉口给行程时间估计造成的影响,提出了一种新的浮动车路段行程时间估计方法.利用感应线圈的流量数据计算出周期内的动态排队长度,根据信号周期内的最长排队长度确定受交叉口影响区域,剔除该区域内的浮动车数据,计算浮动车在区域外的正常行程时间以及区域内的延误时间,最终求得浮动车的路段平均行程时间.仿真结果表明了本算法的可用性,为浮动车行程时间设计提供了参考.%The features of the floating car technology and the effect on the floating cars caused by the signalized intersections under the condition of low sampling rate were analyzed. A new method for estimating the average link travel time of floating cars was proposed. Using traffic volume data from loop detectors, the dynamic queue length of signalized intersection can be calculated, in which the FCD was excluded. Then the delay of the intersections and the normal travel time of the normal were obtained, and the the average link travel time was obtaind. The simulation results verify the feasibility of this algorithm.