车载自组网信息服务与动态交通诱导算法研究  

Research on Information Service and Dynamic Traffic Guidance Algorithm in Vehicular Ad-hoc Networks

作　　者：彭康华[1] 杨军[1] 黄裕锋[1] PENG Kang-hua;YANG Jun;HUANG Yu-feng(School of Information Engineering, Guangdong Engineering Polytechnic, Guangzhou,Guangdong 510520,China)

机构地区：[1]广东工程职业技术学院信息工程学院,广东广州510520

出　　处：《计算技术与自动化》2018年第4期143-147,共5页Computing Technology and Automation

基　　金：广东省科技计划资助项目(2015A030303013;2014A020217016)

摘　　要：为保障交通安全和提升交通效率,利用了当前条件下IEEE802.11p的VANET(Vehicular adhoc network,车载自组网)、相对定位技术、蚁群并行算法动态交通诱导技术,对交通数据进行实时采集与处理。结合模糊理论提出了车载自组网下对人们出行方式有效判断的隶属函数及逻辑推算规则,并通过车载地图规划或驾驶员向车载专用短程无线通信输入,构建当前车载自组网下交通信息服务与动态交通诱导。通过试验得到平均路径长度和最小路径长度收敛曲线,结果对比分析发现改进后的蚁群算法对全局最优解的搜寻效率更高,可靠性得到很大的提升。蚁群算法并行计算试验中,当处理器的数量为4时,收敛值时间花费最少,所采用的蚁群并行算法能大大提高了处理速度和效率。In order to ensure traffic safety and improve traffic efficiency,the current conditions of IEEE802.11p's VANET(Vehicular ad-hoc network),relative positioning technology,and ant colony parallel algorithm of dynamic traffic guidance technology were used to collect and process traffic data in real time.Combined with the theory of fuzzy logic and membership function was presented.The traffic information service and dynamic traffic guidance under the current vehicular ad-hoc network are constructed by the vehicle map planning or the driver's input to the vehicle specific short range wireless communication.The convergence curves of the average path and minimum path were obtained through the experiment.The results showed that the improved ant colony algorithm was more efficient in searching the global optimal solution,and the reliability was improved greatly.In the parallel computing experiment of ant colony algorithm,when the number of processors was4,the convergence time was the least.The ant colony parallel algorithm adopted could greatly improve the processing speed and efficiency.

关 键 词：智能交通 交通信息服务 动态交通诱导 并行蚁群算法 车载自组网 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TP393.03[自动化与计算机技术—控制科学与工程]