Agent-based risk analysis model for road transportation of dangerous goods
Dangerous Goods Transportation (DGT) is often referred to as hazardous materials or hazmat transportation. DGT is considered a critical aspect of modern logistics. It involves the movement of substances that are capable of posing significant societal and environmental risks for exposed populations,...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-03-01
|
| Series: | Results in Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123025000325 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832595784916271104 |
|---|---|
| author | Hassan Kanj Ajla Kulaglic Wael Hosny Fouad Aly Mutaz A.B. Al-Tarawneh Khaled Safi Sawsan Kanj Jean-Marie Flaus |
| author_facet | Hassan Kanj Ajla Kulaglic Wael Hosny Fouad Aly Mutaz A.B. Al-Tarawneh Khaled Safi Sawsan Kanj Jean-Marie Flaus |
| author_sort | Hassan Kanj |
| collection | DOAJ |
| description | Dangerous Goods Transportation (DGT) is often referred to as hazardous materials or hazmat transportation. DGT is considered a critical aspect of modern logistics. It involves the movement of substances that are capable of posing significant societal and environmental risks for exposed populations, properties, and infrastructures in different environments. These substances, ranging from flammable liquids and explosives to toxic chemicals, play crucial roles in various industries, including manufacturing, healthcare, and research. Although essential for societal progress, transporting dangerous goods demands meticulous planning, stringent regulations, and specialized handling procedures to analyze potential hazards and asses shipment risk levels. In this paper, a DGT risk assessment method has been proposed and modeled using a multi-agents system, where each agent possesses specific attributes, failure modes, and behavioral patterns. Furthermore, the modeled system is simulated using two approaches. The first approach evaluates the overall risk level arising from a single DG expedition, while the second approach assesses the risk generated from a single accident using Monte Carlo simulation (MC). A Geographic Information System (GIS) was created to depict the risk analysis for both simulation methods. This system displays the location, trajectory of truck, and the affected areas in the event of an accident during simulation. |
| format | Article |
| id | doaj-art-a4e38db543214c9fb339d4947b28ff9d |
| institution | Kabale University |
| issn | 2590-1230 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Results in Engineering |
| spelling | doaj-art-a4e38db543214c9fb339d4947b28ff9d2025-01-18T05:05:08ZengElsevierResults in Engineering2590-12302025-03-0125103944Agent-based risk analysis model for road transportation of dangerous goodsHassan Kanj0Ajla Kulaglic1Wael Hosny Fouad Aly2Mutaz A.B. Al-Tarawneh3Khaled Safi4Sawsan Kanj5Jean-Marie Flaus6College of Engineering and Technology, American University of the Middle East, Egaila, 54200, Kuwait; Corresponding author.College of Engineering and Technology, American University of the Middle East, Egaila, 54200, KuwaitCollege of Engineering and Technology, American University of the Middle East, Egaila, 54200, Kuwait; Corresponding author.College of Engineering and Technology, American University of the Middle East, Egaila, 54200, KuwaitData analyst, Innovai-Tek, Paris, 75000, FranceData Scientist, Renault Group, Boulogne Billancourt, 92100, FranceData Scientist, Grenoble-Alpes University, Grenoble, 38000, FranceDangerous Goods Transportation (DGT) is often referred to as hazardous materials or hazmat transportation. DGT is considered a critical aspect of modern logistics. It involves the movement of substances that are capable of posing significant societal and environmental risks for exposed populations, properties, and infrastructures in different environments. These substances, ranging from flammable liquids and explosives to toxic chemicals, play crucial roles in various industries, including manufacturing, healthcare, and research. Although essential for societal progress, transporting dangerous goods demands meticulous planning, stringent regulations, and specialized handling procedures to analyze potential hazards and asses shipment risk levels. In this paper, a DGT risk assessment method has been proposed and modeled using a multi-agents system, where each agent possesses specific attributes, failure modes, and behavioral patterns. Furthermore, the modeled system is simulated using two approaches. The first approach evaluates the overall risk level arising from a single DG expedition, while the second approach assesses the risk generated from a single accident using Monte Carlo simulation (MC). A Geographic Information System (GIS) was created to depict the risk analysis for both simulation methods. This system displays the location, trajectory of truck, and the affected areas in the event of an accident during simulation.http://www.sciencedirect.com/science/article/pii/S2590123025000325Multi-agent systemFailure detectionRisk analysisAgent-based modelingMonte Carlo simulationStochastic systems |
| spellingShingle | Hassan Kanj Ajla Kulaglic Wael Hosny Fouad Aly Mutaz A.B. Al-Tarawneh Khaled Safi Sawsan Kanj Jean-Marie Flaus Agent-based risk analysis model for road transportation of dangerous goods Results in Engineering Multi-agent system Failure detection Risk analysis Agent-based modeling Monte Carlo simulation Stochastic systems |
| title | Agent-based risk analysis model for road transportation of dangerous goods |
| title_full | Agent-based risk analysis model for road transportation of dangerous goods |
| title_fullStr | Agent-based risk analysis model for road transportation of dangerous goods |
| title_full_unstemmed | Agent-based risk analysis model for road transportation of dangerous goods |
| title_short | Agent-based risk analysis model for road transportation of dangerous goods |
| title_sort | agent based risk analysis model for road transportation of dangerous goods |
| topic | Multi-agent system Failure detection Risk analysis Agent-based modeling Monte Carlo simulation Stochastic systems |
| url | http://www.sciencedirect.com/science/article/pii/S2590123025000325 |
| work_keys_str_mv | AT hassankanj agentbasedriskanalysismodelforroadtransportationofdangerousgoods AT ajlakulaglic agentbasedriskanalysismodelforroadtransportationofdangerousgoods AT waelhosnyfouadaly agentbasedriskanalysismodelforroadtransportationofdangerousgoods AT mutazabaltarawneh agentbasedriskanalysismodelforroadtransportationofdangerousgoods AT khaledsafi agentbasedriskanalysismodelforroadtransportationofdangerousgoods AT sawsankanj agentbasedriskanalysismodelforroadtransportationofdangerousgoods AT jeanmarieflaus agentbasedriskanalysismodelforroadtransportationofdangerousgoods |