Hou Jia, List George F, Guo Xiucheng
School of Transportation, Southeast University, No. 2 Sipailou, Nanjing 210096, China.
Department of Civil, Construction, and Environmental Engineering, NCSU, Raleigh, NC 27695, USA.
Comput Intell Neurosci. 2014;2014:761047. doi: 10.1155/2014/761047. Epub 2014 Dec 31.
Ways to estimate the time-to-collision are explored. In the context of traffic simulation models, classical lane-based notions of vehicle location are relaxed and new, fast, and efficient algorithms are examined. With trajectory conflicts being the main focus, computational procedures are explored which use a two-dimensional coordinate system to track the vehicle trajectories and assess conflicts. Vector-based kinematic variables are used to support the calculations. Algorithms based on boxes, circles, and ellipses are considered. Their performance is evaluated in the context of computational complexity and solution time. Results from these analyses suggest promise for effective and efficient analyses. A combined computation process is found to be very effective.
探讨了估计碰撞时间的方法。在交通仿真模型的背景下，放宽了基于车道的传统车辆位置概念，并研究了新的、快速且高效的算法。以轨迹冲突为主要关注点，探索了使用二维坐标系来跟踪车辆轨迹并评估冲突的计算程序。基于矢量的运动学变量用于支持计算。考虑了基于盒子、圆形和椭圆形的算法。在计算复杂度和求解时间的背景下评估了它们的性能。这些分析结果表明了进行有效且高效分析的前景。发现一种组合计算过程非常有效。
