摘要
In order to increase the accuracy of microscopic traffic flow simulation,two acceleration models are presented to simulate car-following behaviors of the lane-changing vehicle and following putative vehicle during the discretionary lanechanging preparation( DLCP) process, respectively. The proposed acceleration models can reflect vehicle interaction characteristics. Samples used for describing the starting point and the ending point of DLCP are extracted from a real NGSIM vehicle trajectory data set. The acceleration model for a lanechanging vehicle is supposed to be a linear acceleration model.The acceleration model for the following putative vehicle is constructed by referring to the optimal velocity model,in which optimal velocity is defined as a linear function of the velocity of putative leading vehicle. Similar calibration,a hypothesis test and parameter sensitivity analysis were conducted on the acceleration model of the lane-changing vehicle and following putative vehicle,respectively. The validation results of the two proposed models suggest that the training and testing errors are acceptable compared with similar works on calibrations for car following models. The parameter sensitivity analysis shows that the subtle observed error does not lead to severe variations of car-following behaviors of the lane-changing vehicle and following putative vehicle.
为提高微观交通流模拟的准确性,分别建立加速度模型来模拟换道车辆和潜在后随车辆在自主性换道准备过程中的跟驰行为,所建模型能够反映车辆之间的交互特性.自主性换道准备过程起点和终点的样本数据从NGSIM实际车辆轨迹数据集中提取.换道车辆加速度模型假定为线性加速度模型,潜在后随车辆加速度模型参考最优速度模型建立,最优速度定义为潜在前导车速度的线性函数.分别对换道车辆和潜在后随车辆加速度模型进行了参数标定、假设检验和参数敏感性分析. 2种模型的验证结果表明,与同类车辆跟驰模型的标定结果相比,训练和测试误差可以接受.此外,参数敏感性分析表明,微小的观测误差不会导致换道车辆和潜在后随车辆的跟驰行为发生剧烈变化.
基金
The National Basic Research Program of China(No.2012CB725405)
the National Natural Science Foundation of China(No.51308115)
the Science and Technology Demonstration Project of Ministry of Transport of China(No.2015364X16030)
Fundamental Research Funds for the Central Universities,the Postgraduate Research&Practice Innovation Program of Jiangsu Province(No.KYLX15_0153)
