NDLI: An overview of a multiagent-based simulation system for dynamic management of risk related to Dangerous Goods Transport

Content Provider	IEEE Xplore Digital Library
Author	Laarabi, M.H. Roncoli, C. Sacile, R. Boulmakoul, A. Garbolino, E.
Copyright Year	2013
Description	Author affiliation: Fac. of Sci. & Technol., Comput. Sci. Dept., Hassan II Univ. - Mohammedia, Mohammedia, Morocco (Boulmakoul, A.) \|\| CRC, Mines ParisTech, Sophia Antipolis, France (Garbolino, E.) \|\| Dept. of Comput. Sci., Bioeng., Robot. & Syst. Eng., Univ. of Genoa, Genoa, Italy (Laarabi, M.H.; Roncoli, C.; Sacile, R.)
Abstract	Transportation engineering, and especially of Dangerous Goods (DG), is one of the areas in which technological development is crucial. Logistic control systems, routing and scheduling algorithms, supply chain management have been applied in this aspect so as to improve the cost-effectiveness ratio and to reduce risks. Unfortunately, most of these works remain theoretical since tests on real case scenario sometimes proves difficult to achieve especially when we are dealing with Dangerous Goods Transport (DGT). In this paper, an architecture of a visual DGT simulation system has been introduced. It provides entries for testing these works and produces results close to real experiments. Applications on serious games, financial market, engineering are evidence of success of the visual simulation system. Thus, the challenge consists on how to design a system that represents real-world systems with an appropriate degree of complexity and dynamics. Several researchers have already suggested solutions since the 50s. These solutions have been classified in three levels: microscopic, mesoscopic and macroscopic simulation. It has been decided to use a microscopic approach using an agent-based model. It allows the representation of systems at different levels of complexity, a System of Systems (SoS), through the use of autonomous, goal-driven and interacting entities. The system is implemented using the software MATSim (http://www.matsim.org/). The main actors of the system stand for the DG Carriers Operator (CO) agent that manages a fleet of DG Carriers agents, taking logistic decisions on their behalf. The COs collaborate with the National Authority (NA), which is an agent concerned by the safety shipment of goods at regional and national level. The paper focus on the Multi-Agent System (MAS) architecture and introduces its key components as well as the means on interaction.
Sponsorship	IEEE Syst. Council
Starting Page	830
Ending Page	835
File Size	4739623
Page Count	6
File Format	PDF
ISBN	9781467331074
e-ISBN	9781467331081
DOI	10.1109/SysCon.2013.6549980
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-04-15
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	System of Systems Transport Engineering Multiagent systems Simulation System Computer architecture Routing Dangerous Goods Transport Mathematical model Intelligent agents Modeling Vehicles
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

A Risk-Based System of Systems Approach to Control the Transport Flows of Dangerous Goods by Road

Multi-agent-oriented Modeling for Intelligence Reconnaissance System

Multi-criteria route optimization for dangerous goods transport using fuzzy risk assessment and agent-based traffic simulation

An HLA-Based Multiagent System for Optimized Resource Allocation After Strong Earthquakes

Combining Rule Induction and Reinforcement Learning: An Agent-based Vehicle Routing

Reconfigurable Intelligent Agents

An adaptive architecture for physical agents

Routing in dynamic network based on the fuzzy knowledge exchange among multi-agents

A Decentralized Approach for Anticipatory Vehicle Routing Using Delegate Multiagent Systems

An overview of a multiagent-based simulation system for dynamic management of risk related to Dangerous Goods Transport

Similar Documents

A Risk-Based System of Systems Approach to Control the Transport Flows of Dangerous Goods by Road

Multi-agent-oriented Modeling for Intelligence Reconnaissance System

Multi-criteria route optimization for dangerous goods transport using fuzzy risk assessment and agent-based traffic simulation

An HLA-Based Multiagent System for Optimized Resource Allocation After Strong Earthquakes

Combining Rule Induction and Reinforcement Learning: An Agent-based Vehicle Routing

Reconfigurable Intelligent Agents

An adaptive architecture for physical agents

Routing in dynamic network based on the fuzzy knowledge exchange among multi-agents

A Decentralized Approach for Anticipatory Vehicle Routing Using Delegate Multiagent Systems

An overview of a multiagent-based simulation system for dynamic management of risk related to Dangerous Goods Transport