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Simulation Evaluation Of The Benefits Of Real-time Traffic Information To Trucks During Incidents

机译:事故期间实时交通信息对卡车的好处的仿真评估

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This article evaluates the potential benefits of real-time traffic information for trucks delivering freight to destinations when an incident occurs en-route.The evaluation was carried out with a microscopic traffic simulation model in a network that consisted of a 26.5 km expressway and its parallel arterials.The diversion behaviors of trucks under the influence of the following sources of real-time traffic information were simulated: (1) variable message signs (VMS); (2) VMS and travel time displays (TTD); and (3) dynamic route guidance systems (DRGS).Other drivers also received and responded to limited real-time traffic information provided by VMS and TTD.A factorial experiment was designed to investigate the effect of five factors,which were the level of traffic information available to truck drivers,network traffic demand,incident locations,incident severity,and percentage of background traffic familiar with the network.It was found that,when an incident occurred during the period of high traffic demand,truck drivers benefited most from the real-time traffic information provided by DRGS,followed by the combination of VMS and TTD,and then only by the VMS with average travel time savings of 12%,7%,and 5%,respectively,compared to average incident-free navel time.When an incident occurs during low and moderate levels of traffic demand,providing real-time traffic information helped to reduce average truck travel time,but the average travel time was higher than that of incident-free situations.Results of analysis of variance also indicated that the five factors contributed significantly in affecting the average truck travel time.There were significant interactions between any two of the five factors with the exception of the level of traffic information and incident severity.
机译:本文评估了实时交通信息对于卡车在途中发生事故时将货物运送到目的地的潜在好处。该评估是使用微观交通仿真模型在由26.5 km高速公路及其平行线组成的网络中进行的模拟了以下实时交通信息源对卡车的转移行为:(1)可变信息标志(VMS); (2)VMS和行程时间显示(TTD); (3)动态路线引导系统(DRGS)。其他驾驶员也收到并响应了VMS和TTD提供的有限实时交通信息。设计了析因实验,以研究交通量水平这五个因素的影响提供给卡车司机的信息,网络流量需求,事件位置,事件严重性以及熟悉网络的背景流量的百分比。发现,在交通需求量大的时期发生事件时,卡车司机从实际中受益最大。 DRGS提供的实时交通信息,其次是VMS和TTD的组合,然后是仅VMS,与平均无事故肚脐时间相比,平均旅行时间分别节省了12%,7%和5%。当交通需求处于低水平和中等水平时发生事故时,提供实时交通信息有助于减少卡车的平均行驶时间,但平均行驶时间要高于无事故现场的平均行驶时间。方差分析结果还表明,这五个因素对影响卡车的平均行驶时间有显着影响。五个因素中的任何两个因素之间都存在显着的相互作用,除了交通信息水平和事件严重性之外。

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