基于城市交通场景的仿真研究
发布时间：2018-07-18 11:30
【摘要】：研究城市交通场景真实性问题,车载自组织网(VANET)是应用于车辆间通信的特殊移动自组织网络,节点的移动需要考虑诸多交通因素的限制,其中车流速度,道路结构,十字路口,交通灯管理,多车道换道等因素对网络协议性能影响较大,为了准确的反应城市交通场景以及车辆节点移动特性,通过实现优化的智能驾驶模型IDM,并结合市区卫星地图构建真实的城市道路拓扑场景,利用NS2网络仿真平台,对比评估了不同车流移动速度,不同节点移动模型下的交通场景对网络协议性能的影响。分析认为引入优化的智能驾驶模型特性,反应城市交通环境下车辆节点的运动更具真实性,更适合于VANET仿真研究,为提高车辆运行效率提供了依据。
[Abstract]:To study the authenticity of urban traffic scene, vehicle-borne ad hoc network (VANET) is a special mobile ad hoc network used in inter-vehicle communication. The mobility of nodes needs to consider the limitations of many traffic factors, including vehicle flow speed, road structure, crossroads. Traffic light management, multi-lane change and other factors have a great impact on the performance of network protocol, in order to accurately reflect the urban traffic scene and vehicle node movement characteristics, Through realizing the optimized intelligent driving model IDM and combining with the urban satellite map to construct the real urban road topology scene, using NS2 network simulation platform, the paper compares and evaluates the different moving speed of traffic flow. The influence of traffic scenarios on the performance of network protocols under different node mobility models. It is concluded that the characteristics of intelligent driving model can reflect the movement of vehicle nodes in urban traffic environment, which is more realistic and more suitable for VANET simulation research, which provides a basis for improving the efficiency of vehicle operation.
【作者单位】： 兰州理工大学计算机与通信学院;兰州理工大学经济管理学院;
【基金】：国家自然科学基金(51161011) 甘肃省科技支撑计划(1204GKCA065) 兰州市科技计划项目(2013-3-104)
【分类号】：U491
本文编号：2131772
[Abstract]:To study the authenticity of urban traffic scene, vehicle-borne ad hoc network (VANET) is a special mobile ad hoc network used in inter-vehicle communication. The mobility of nodes needs to consider the limitations of many traffic factors, including vehicle flow speed, road structure, crossroads. Traffic light management, multi-lane change and other factors have a great impact on the performance of network protocol, in order to accurately reflect the urban traffic scene and vehicle node movement characteristics, Through realizing the optimized intelligent driving model IDM and combining with the urban satellite map to construct the real urban road topology scene, using NS2 network simulation platform, the paper compares and evaluates the different moving speed of traffic flow. The influence of traffic scenarios on the performance of network protocols under different node mobility models. It is concluded that the characteristics of intelligent driving model can reflect the movement of vehicle nodes in urban traffic environment, which is more realistic and more suitable for VANET simulation research, which provides a basis for improving the efficiency of vehicle operation.
【作者单位】： 兰州理工大学计算机与通信学院;兰州理工大学经济管理学院;
【基金】：国家自然科学基金(51161011) 甘肃省科技支撑计划(1204GKCA065) 兰州市科技计划项目(2013-3-104)
【分类号】：U491
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