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A message efficient intersection control algorithm for intelligent transportation in smart cities

机译:智慧城市中智能交通的消息高效路口控制算法

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摘要

IoV based traffic control at intersections has been recently studied widely to realize intelligent transportation. However, existing solutions usually suffer from high communication cost, which may cause serious packet interference and long time delays. In this paper, we design a new algorithm to realize intersection control via vehicular ad hoc networking. We basically adopt the approach of mutual exclusion, which can let vehicles at an intersection compete for the privilege of passing via message exchange. Different from existing works, we adopt a group based privilege competition design. By letting only group head handling requests from other lanes, message cost can be significantly reduced. Reducing communication cost is a significant issue in IoV based intersection control because high communication cost will cause packet interference and packet losses, which further result in safety problems. The key challenges lie in deterring group size and recognizing group head. Compared similar works, our new algorithm can conduct intersection control with much less message cost, and its advantage is validated by simulations using ns3.
机译:近来,基于IoV的交叉路口交通控制已得到广泛研究,以实现智能交通。然而,现有解决方案通常遭受高通信成本的困扰,这可能导致严重的分组干扰和长时间延迟。在本文中,我们设计了一种通过车辆自组织网络实现交叉路口控制的新算法。我们基本上采用互斥的方法,该方法可以让十字路口的车辆争夺通过消息交换传递的特权。与现有作品不同,我们采用基于群体的特权竞赛设计。通过仅允许来自其他通道的组头处理请求,可以显着降低消息成本。降低通信成本是基于IoV的交叉口控制中的重要问题,因为高通信成本将导致数据包干扰和数据包丢失,进而导致安全问题。关键挑战在于阻止小组规模和识别小组负责人。与类似的作品相比,我们的新算法可以以更少的消息成本进行交叉控制,并且其优势已通过使用ns3的仿真得到了验证。

著录项

  • 来源
    《Future generation computer systems》 |2017年第11期|339-349|共11页
  • 作者

    Wei Ni; Weigang Wu; Keqin Li;

  • 作者单位

    School of Data and Computer Science, Sun Yat-sen University, Cuangzhou 510006, China,Guangdong Province Key Laboratory of Big Data Analysis and Processing, Guangzhou 510006, China,The Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, Guangzhou 510006, China;

    School of Data and Computer Science, Sun Yat-sen University, Cuangzhou 510006, China,Guangdong Province Key Laboratory of Big Data Analysis and Processing, Guangzhou 510006, China,The Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, Guangzhou 510006, China;

    Department of Computer Science, State University of New York at New Paltz, NY 12561, United States;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Intersection control; Intelligent transportation system; Distributed algorithm; Internet of Things; Vehicular ad hoc networks;

    机译:交叉口控制;智能交通系统;分布式算法;物联网;车载自组织网络;

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