基于GPS数据及车辆运行特性分析的单车路段行程时间估计

针对现有的基于浮动车单车路段行程时间估计方法的不足,提出了一种基于GPS数据及车辆运行特性分析的单车路段行程时间估计方法。该方法主要进行了3个方面的改进:①对地图匹配模块中节点附近GPS点采用了相邻点联合匹配的方法,提高了匹配的效率;②针对不同情况下车辆在边界点前后运行特性的不同,对车辆通过边界点时间进行相应处理,提高了车辆通过路段边界点时间的估计精度;③对车辆个体在运行中因受到干扰而停车现象进行了分析,并对干扰停车予以有效剔除,降低了估计中车辆个体行为对估计结果准确性的影响。最后用出租车GPS实验数据进行了验证,结果证明了本文方法的有效性。

Individual vehicle travel-time estimation based on GPS data and analysis of vehicle running characteristics

Aiming at the shortcoming of the current methods of estimation of individual floating vehicle travel-time on road-section,a new method based on the global positioning system( GPS) data and analysis of vehicle running characteristics was proposed. The vehicle travel-time estimation was improved in three respects. In the map matching module,the GPS point near the mode was matched jointly by the adjacent point GPS data to improve the map matching efficiency. Aiming at the different running characteristics of the floating vehicle across the road-section boundary point under different situations the time of vehicle passing the boundary point was processed correspondingly to raise the estimation accuracy of the boundary point passing time. The phenomenon of individual vehicle temporary stop by interference was analyzed and the interferential stop was removed effectively,and the effect of the individual vehicle behavior on the accuracy of estimation result was reduced. The method was verified by the experimental taxi GPS data and the result was encouraging.