检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
机构地区:[1]厦门理工学院计算机信息与工程学院,福建厦门361024
出 处:《厦门理工学院学报》2015年第1期51-56,共6页Journal of Xiamen University of Technology
摘 要:为改善道路安全、提高交通效率并实现智慧交通,提出一种基于多智能体的车辆自组网络和路侧无线感知网络的车路协同系统混合架构.该架构中每台车和各重要路口的信号灯均为多智能体,包含路侧终端、车载终端和行人探测器,通过无线通信网络实现人-车-路信号互联,全方位感知周围环境信息.用TransModeler对厦门市某区域进行仿真,结果表明:该架构可以准确、全面地感知道路环境,采集交通事故信息,反映全路网运行状况,并可依据仿真结果对交通异常情况进行预测和判定,为路网的安全运行提供有力的参考.In order to make safer, faster and smarter roads, a hybrid cooperative vehicles infrastructure system(CVIS) architecture that combines Vehicular ad^hoc networks based on multi-agent and roadside wireless sensor networks was proposed. All cars and major intersection lights in the architecture are multi-agent based, including road-side units, car terminal and pedestrian detectors to achieve people-vehicle-road connection and to perceive comprehensive information of the surrounding environment through the wireless communication network. TransModeler simulation of an area in Xiamen shows that the architecture can accurately sense the road environment, collect accident information, reflect the operation of the road network, and predict and determine traffic anomalies based on the simulation results, thus providing convincible references for the safe operation of road network.
关 键 词:车辆自组网络 多智能体 车路协同 TRANSMODELER 智能交通
分 类 号:U495[交通运输工程—交通运输规划与管理] TP391.9[交通运输工程—道路与铁道工程]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.117