SUMO平台下多种车辆跟驰模型的仿真对比分析
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青岛大学 计算机科学技术学院

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国家自然科学基金项目(面上项目,重点项目,重大项目)(61872205);山东省自然科学基金(ZR2019MF018);山东省高等学校科技计划(J16LN06);青岛市应用基础研究计划(18-2-2-56-jch);省重点实验室联合开放基金(SDKLCN-2018-07)


Comparative Analysis of Simulation of Multi-Car-following Models under SUMO Platform
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1.Qingdao University,College of Computer Science Technology;2.Qingdao University

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National Natural Science Foundation of China (NSFC) under Grant No. 61872205, the Shandong Provincial Natural Science Foundation under Grant No. ZR2019MF018, the Project of Shandong Province Higher Educational Science and Technology Program under Grant No. J16LN06, the Source Innovation Program of Qingdao under Grant No. 18-2-2-56-jch, and the Open Research Fund from Shandong Provincial Key Laboratory of Computer Networks under Grant No. SDKLCN-2018-07.

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    摘要:

    车载网是一种以车辆为通信节点的无线自组织网络,旨在实现车与车、车与基础设施之间的数据通信。车辆的高速移动性易引起网络拓扑结构的变化,进而降低数据包的传递率和路由协议的工作效率,甚至导致信道中断。目前,对于车载网通信协议和应用的研究主要借助仿真平台模拟实现,平台内嵌的车辆移动模型性能对协议的分析和研究至关重要。首先,对Simulation of Urban Mobility(SUMO)平台下常用的六种车辆跟驰模型进行了详细的描述;其次,分析并引入影响移动模型性能最明显的三种因素;最终,依托城市道路交通环境,通过设置不同的模拟场景对比分析了在不同跟驰模型作用下的车辆密度、车辆平均速度和道路占用率三个指标。详实的实验结果表明,Krauss模型具有最优异的性能。此外,通过仔细观察单个车辆的跟驰行为从微观上揭示了各模型的工作原理。

    Abstract:

    Vehicle Ad Hoc Network (VANET) is a kind of Wireless Ad hoc network, which takes the vehicle as the communication node. It aims to achieve data transmission between vehicle and vehicle, or between vehicle and infrastructure. The high-speed mobility of vehicles can easily cause the change of network topology, as a result, the transmission rate of data packets and the efficiency of routing protocol are reduced, and even lead to channel interruption. The research on the communication protocol and application of the VANET is mainly implemented by the simulation platform, It’s crucial that the performance of vehicle mobility model embedded in the platform for protocol analysis and research. Firstly, various Car-following models under the simulation of urban mobility(SUMO) platform are described in detail. Then, this paper introduces three factors that have the most obvious impact on the performance of mobile models. Finally, based on the urban road traffic environment, this paper compares and analyzes the three indicators of vehicle density, average vehicle speed and road occupancy rate under different car-following models by setting different simulation scenarios. The experimental results show that Krauss model has better performance. In addition, simulating the car-following behavior of a single vehicle reveals the working mechanism of each model microscopically.

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  • 收稿日期:2019-11-04
  • 最后修改日期:2020-01-05
  • 录用日期:2020-02-02
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