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A Risk Assessment Framework for Hazmat Transportation in Highways by Colored Petri Nets

机译:有色Petri网在公路危险品运输的风险评估框架。

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The management and control of vehicles transporting hazardous materials (hazmat) on congested highways has attracted growing attention from researchers in recent years. This paper proposes a decision support system (DSS) for monitoring hazmat vehicles, aimed at assessing two problems: evaluating the social risk induced by hazmat vehicles traveling in highways and selecting restoration procedures after an accident involving heavy vehicles. The proposed DSS can estimate in real time and offline the risk of hazmat transportation, by taking into account the type of transported hazmat, the traffic, and the density of populations living close to the highway. Two main modules of the DSS are specified: the risk assessment module and the simulation module (SM) that allows forecasting risk in different contexts and scenarios. In particular, the SM is realized by modeling the highway network in a colored Petri net (CPN) framework. In order to show the effectiveness and the applicability of the DSS, a prototype is described and applied to a highway in the North-east of Italy.
机译:近年来,对在拥挤的公路上运输有害物质(危险品)的车辆的管理和控制引起了研究人员的越来越多的关注。本文提出了一种用于监控危险品车辆的决策支持系统(DSS),旨在评估两个问题:评估在公路上行驶的危险品车辆引起的社会风险,以及在发生重型车辆事故后选择恢复程序。拟议的DSS可以通过考虑运输的危险品的类型,交通量以及居住在高速公路附近的人口密度,实时和离线地估计危险品运输的风险。 DSS的两个主要模块被指定:风险评估模块和模拟模块(SM),它们允许在不同背景和场景下预测风险。特别是,通过在有色Petri网(CPN)框架中对高速公路网络进行建模来实现SM。为了显示DSS的有效性和适用性,描述了一个原型并将其应用于意大利东北部的高速公路。

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