基于相对定位的车载自组网预警系统

Y. Raut, V. Katkar, S. Sarode
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引用次数: 9

摘要

在车辆自组织网络(VANET)中,在到达道路上的潜在危险区域之前,无线防撞(CA)系统会向驾驶员发出警告。全球定位系统可以获取车辆位置,并与网络中的其他车辆共享。在紧急情况下,并非所有车辆都受到影响,因此广播报警报文是不可行的,而必须采用组播方式。计算相对车辆位置列表取决于行驶方向、方位角度和距离。近年来的研究表明,稀疏的车辆交通导致网络碎片化,这对安全应用提出了重要的研究挑战。因此,本文提出了一种利用大圆算法确定多车之间相对位置的系统。道路侧单元管理所有车辆信息,检测故障车辆,计算受故障车辆影响的车辆细节,并向已识别的车辆发送警报数据包,从而提高VANET的连通性。这将避免广播问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Early alert system using relative positioning in Vehicular Ad-hoc Network
In a Vehicular Ad Hoc Network (VANET), before reaching a potentially dangerous zone on road, wireless Collision Avoidance (CA) system issues warnings to drivers. Global positioning system can be used to get the vehicle position and which can be shared with other vehicles in the network. In case of emergency not all the vehicle get affected so broadcasting of alert packet is not feasible rather it has to be multicast. Calculating the list of relative vehicles position is depending on the travelling direction, bearing angle and the distance. Recent studies have shown that sparse vehicle traffic leads to network fragmentation which poses crucial research challenge for safety application. Hence in this paper we propose a system which will find out the relative position between multiple vehicles by using Great Circle Algorithm. The improvement in VANET connectivity is made by road side unit which will manage all the vehicle information and detect the failure vehicle and calculate the detail of the vehicles that get affected by the failure vehicle and multicast alert packet to identified vehicles. This will avoid the broadcasting problem.
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