论文标题
通过近视当地互动在道路上的新兴合作
Emerging cooperation on the road by myopic local interactions
论文作者
论文摘要
我们研究了一个受以下情况启发的组合问题：完全自动驾驶汽车在多车道（$ m \ geq 2 $）道路上行驶。每辆车辆都可以前往自己的目的地，只能通过一个指定的坡道车道才能离开道路。但是，单个车辆具有严重有限的记忆力和感知功能，而且与同龄人没有通信。在这项工作中，我们提出了一种分布式的算法，尽管如此，它允许车辆进入所需的车道而无需及时碰撞。
We study a combinatorial problem inspired by the following scenario: fully autonomous vehicles drive on a multi-lane ($m \geq 2$) road. Each vehicle heads to its own destination and is allowed to exit the road only through a single designated off-ramp lane. However, an individual vehicle has a severely limited memory and sensing capabilities, and, moreover, does not communicate with its peers. In this work we present a distributed algorithm that, nonetheless, allows vehicles to get to the desired lane without collisions and in timely manner.
