PurposeThis paper seeks to tackle the complex problem of integrating real‐time data information about the tracking of a hazardous material (hazmat) vehicle with classical risk evaluation methodologies in order to describe possible accident scenarios. The application deals with the transport of hydrocarbon dangerous goods, where the accident consequences may involve the population exposed along the infrastructure used for transportation.Design/methodology/approachThe approach taken consists of three phases. First, the acquisition of real‐time data about the travel and the carried hazmat; second, the evaluation of the risk area; and finally, a Geographic Information System (GIS) are taken into account.FindingsThe findings of this analysis constitute the methodological basis to implement a decision support system as regards hazmat transport risk analysis, also in real time, with important evaluations for planning criteria. Using TIP (Transport Integrated Platform), the data collection is received in real time and the scenario construction and visualization may represent a user‐friendly tool for prompt risk evaluation.Research limitations/implicationsThe information displayed by the GIS interface is easy to use, and gives prompt information about the accident consequences.Originality/valueIn terms of the total impact from the hazmat transport system to the whole environment (humans, goods, infrastructures, services and natural elements), the paper focuses on the importance of creating a historical real‐time database implemented from a real time information, that represents a standard set of information necessary to define an accident scenarios, for hazmat transport.
This paper aims to present a Decision Support System (DSS) for the detection and monitoring of Hazardous Material (hazmat) transportation on the road infrastructure Nice-Imperia-Savona between France and Italy developed in the TMD-NIS Interreg IIIA Alcotra Project. The final objective of the TMD-NIS project is to determine the most effective information and communication technologies and common operation strategies applicable in hazmat management in order to minimize the hazmat transport risk and to improve the road infrastructure safety conditions. An integrated and comparative assessment of two alternative technologies has been performed by the partners of the project: an image processing system to identify the ONU codes on the hazmat plates installed on each truck has been tested in France, while an on-board computer system to store and transmit information related to the hazmat physical conditions, vehicle's locations and performance measures has been implemented in Italy. The collaboration between the different research institutions and the complementarities of the two specific approaches to define and monitor the hazmat vehicle flows allow comparison and validation of the acquired data related to the type, the amount and the itineraries of the hazmat vehicles which cover the trans-border road infrastructures daily. At present, the TMD-NIS project also provides a GIS utility, available on the web, to track in real-time hazmat vehicles, to analyse data about hazmat flows and to visualize the risk index for the highway from the toolbar barriers of St. Isidore (Nice) to the Ventimille.
Oil spills in the marine environment are a harmful threat to the environment, the population, and the economy. For this reason, it is important to know the trajectory of oil slicks in case of a spill in order to prioritize actions for oil recovery and thus to better protect areas exposed to pollution risk. For this purpose, several oil slick drift models are developed to study the impact of various possible scenarios and to estimate the environmental sensitivity of a maritime and coastal area even before this type of accident occurs. In this context, this paper presents the applications of a two (2D) and three-dimensional (3D) oil spill models, suggested to define the trajectory of the oil slick in a marine environment taking into account different meteorological parameters. The two models have been applied to simulate the oil spill propagation in the case of a collision accident that occurred off Saint-Tropez (France) on
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.