车载自组网中实时交通诱导信息对车辆行程时间影响分析

Effects of real-time traffic guidance information on vehicle travelling time in VANETs

针对无法获得符合车载自组网特性的真实路网条件,通过修改CarAgent模块的诱导逻辑构建了一种典型的实时交通流诱导仿真场景,从而实现交通诱导信息与交通流运行之间的协同互反馈机制。利用此场景选择多种影响因素,从单变量方差分析和多因素二阶交互方差分析2个角度,分析交通诱导信息对车辆行程时间的影响。仿真结果表明:车辆诱导设备装载率、诱导信息发布有效距离和驾驶人对诱导信息的服从率与车辆行程时间之间存在显著的负相关关系。相比较而言,车辆诱导设备装载率对行程时间的影响程度最大,可减少行程时间约23.5%。

It was unavailable to realize the actual road network conditions in accord with the vehicular ad hoc network characteristics,so a typical real-time traffic guidance scenario was established by modifying the CarAgent module to achieve the coordination feedback mechanism between traffic guidance information and traffic flow travelling.The effect of traffic guidance information on vehicle travelling time was analyzed by selecting several influencing factors in the given scenario with univariate ANOVA analysis and multiple factor variance analysis.Simulation results show that there is a significant negative correlation among the equipment rate of vehicle traffic guidance,the effective transmission distance of guidance information,the driver compliance rate of guidance information and the vehicle travelling time.In contrast,the equipment rate of vehicle traffic guidance has a bigger effect on travelling time for travelling time can be reduced about23.5%.3tabs,7figs,10 refs.