Reliable intersection protocols using vehicular networks
Reliable intersection protocols using vehicular networks
复制标题
使用车辆网络的可靠交叉口协议
DOI：
10.1145/2502524.2502526
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发表时间：
2013
期刊：
影响因子：
--
通讯作者：
P. Mudalige
中科院分区：
文献类型：
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作者：
Seyed Azimi;Gaurav Bhatia;R. Rajkumar;P. Mudalige
自动驾驶将在未来的交通运输中发挥重要作用。各种自动驾驶汽车已经在DARPA城市挑战赛上展示[3]。通用汽车最近在中国上海推出了他们的电动网络汽车（EN-V）。城市地区自动驾驶的主要挑战之一是通过十字路口和交叉路口的过渡。除了安全问题，目前的交叉口管理技术，如停车标志和交通信号灯，即使在轻交通条件下也会导致严重的交通延误。我们的目标是设计和开发有效和可靠的交叉口协议，以避免车辆在交叉口碰撞，增加交通吞吐量。本文的重点是研究车对车（V2 V）通信作为自动驾驶汽车背景下的合作驾驶的一部分。我们研究了我们提出的V2 V交叉路口协议如何有利于自动驾驶，并显示出吞吐量的显着改善。我们还证明了我们的协议避免了交叉区域内的死锁情况。仿真结果表明，我们提出的新的V2 V交叉口协议提供了通过交叉口的安全通道，并显着减少在交叉口的延迟和我们最新的V2 V交叉口协议产生超过85%的总体性能提高比常见的交通灯模型。
Autonomous driving will play an important role in the future of transportation. Various autonomous vehicles have been demonstrated at the DARPA Urban Challenge [3]. General Motors has recently unveiled their Electrical-Networked Vehicles (EN-V) in Shanghai, China [5]. One of the main challenges of autonomous driving in urban areas is transition through cross-roads and intersections. In addition to safety concerns, current intersection management technologies such as stop signs and traffic lights can introduce significant traffic delays even under light traffic conditions. Our goal is to design and develop efficient and reliable intersection protocols to avoid vehicle collisions at intersections and increase the traffic throughput. The focus of this paper is investigating vehicle-to-vehicle (V2V) communications as a part of co-operative driving in the context of autonomous vehicles. We study how our proposed V2V intersection protocols can be beneficial for autonomous driving, and show significant improvements in throughput. We also prove that our protocols avoid deadlock situations inside the intersection area. The simulation results show that our new proposed V2V intersection protocols provide both safe passage through the intersection and significantly decrease the delay at the intersection and our latest V2V intersection protocol yields over 85 % overall performance improvement over the common traffic light models.