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Time Complexity of Sensor-Based Vehicle Routing

机译:基于传感器的车辆路径选择的时间复杂度

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摘要

In this paper, we study the following motion coordination problem: given n vehicles and n origin-destination pairs in the plane, what is the minimum time needed to transfer each vehicle from its origin to its destination, avoiding conflicts with other vehicles? The environment is free of obstacles and a conflict occurs when distance between any two vehicles is smaller than a velocity-dependent safety distance. In the case where the origin and destination points can be chosen arbitrarily, we show that the transfer takes Θ(n~(1/2)L) time to complete, where L is the average distance between the origin and destination points. We also analyze the case in which origin and destination points are generated randomly according to a uniform distribution, and present an algorithm providing a constructive upper bound on the time needed to transfer vehicles from origins to their corresponding destination, proving that the transfer takes Θ(n~(1/2)) time for this case.
机译:在本文中,我们研究以下运动协调问题:给定n个车辆和平面中的n个起点-终点对,将每辆车辆从其原点转移到目的地的最短时间是多少,从而避免与其他车辆发生冲突?环境没有障碍,当任何两辆车之间的距离小于与速度有关的安全距离时,就会发生冲突。在可以任意选择起点和终点的情况下,我们表明传输完成需要Θ(n〜(1/2)L)时间,其中L是起点和终点之间的平均距离。我们还分析了根据均匀分布随机生成起点和终点的情况,并提出了一种算法,该算法提供了将车辆从起点转移到其相应终点所需的时间的建设性上限,证明了转移花费Θ(在这种情况下为n〜(1/2))次。

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