A Distributed Intelligent System for Emergency Convoy

Benalla, Mohammed; Achchab, Boujemâa; Hrimech, Hamid

doi:10.9781/ijimai.2016.418

Cited by 5 publications

(5 citation statements)

References 10 publications

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“…The simulation is crucial for giving current information on road capacities and supporting research into the complexity of traffic systems. Two fundamental issues with emergency convoys are philosophically addressed in [7]. The first issue focuses on resolving the traffic condition, while the 2nd focuses on convoy orientation, with the basic emphasis on a dispersed and supportive answer to the key challenge.…”

Section: Related Workmentioning

confidence: 99%

Prioritization of Exigency Services in Multi-Agent Transportation Systems

Fakhir,

Qasim,

Hussain

et al. 2023

VFAST trans. softw. eng.

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Multi-agent system helps in achieving a single global goal by working on different tasks in a distributed environment. This research presents a new framework for handling the prioritization of exigency services in an urban transportation system. Prioritization in exigency services needs to be handled for vehicles like Ambulance, Police Mobile, Fire Brigade, Bomb Disposal Squads, Search and Rescue vehicles, Turntable Ladder, and other similar vehicles. In the proposed framework a single ARTIS agent with four In-agents is deployed at each signal node. In-Agents at different nodes share information about the exigency with the ARTIS Agent that analyses the input data and determines the types of conflict that might cause delays in emergency services provision. We operate the signal based on their priorities for exigency vehicles with different priorities. In case they have the same priorities then we use the lane congestion and vehicle wait time to operate a signal. We demonstrate the application of our proposed approach using different cases of a traffic case study.

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Section: Related Workmentioning

confidence: 99%

Prioritization of Exigency Services in Multi-Agent Transportation Systems

Fakhir,

Qasim,

Hussain

et al. 2023

VFAST trans. softw. eng.

View full text Add to dashboard Cite

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“…It also addressed minor issues of the multi-agent system of flexibility and extensibility. In [17], addresses conceptually two underlying questions of emergency convoys. The first question deals with how to optimally control the normal flow of traffic, while the second question addresses the issue of controlling the flow of an emergency convoy.…”

Section: Related Workmentioning

confidence: 99%

A Multi-Agent System Approach for Emergency Services using QoS-Assured Cloud Computing Architecture in the Metropolitan Transportation System

Munawar,

Qasim

2023

IJCDS

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The paradigm of multi-agent systems has been actively applied to cloud computing to provide cost-effective, decentralized problem-solving. Rather than processing the tasks that require enormous computing resources locally, they can be processed in the cloud. In this research, we present how these two paradigms can be effectively used to handle emergency services in any metropolitan transportation system. In the proposed architecture, agents are placed at signal nodes to collect data and send it to cloud services. These agents have the ability to control the signal nodes in an emergency. They also communicate emergency information between several nodes. The cloud service is the system's backbone and employs heterogeneous agents to manage emergency services. It analyses the input data and determines the presence of emergency services. The main contribution of the research is to utilize a priority-based mechanism for handling exigency vehicles rather than using traditional timer-based signals. In addition, we provided case studies demonstrating the usefulness of the proposed framework.

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“…The Internet of Things (IoT) allows connections between physical world and virtual information at any time, in any place and between anything [5], defining the configuration of smart systems through heterogeneous and ubiquitous objects [6] originating the development of interactive object automation to exchange information [7].…”

Section: Internet Of Things For Smart Citiesmentioning

confidence: 99%

Actionable Framework for City Digital Twin-Enabled Predictive Maintenance and Security Management Systems

Agostinelli

2021

WIT Transactions on the Built Environment

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The growing potential offered by the use of ICT (Information Communication Technology)-based approaches for process management in the built environment is increasingly used to configure effective digital twins of products and processes. Focusing on Smart Cities, the realization of integrated threedimensional BIM (Building Information Modeling) and GIS (Geographic Information Systems) provides microscopic and macroscopic geometric databases containing static, dynamic, geometric and semantic data representing the information centre for an efficient management of the lifecycle in vertical and horizontal systems. Therefore, processing data and information about the lifecycle of city assets through a Digital Twin Model ensures considerable support to the process management of built environments. Through the integration of these models with Artificial Intelligence (AI) systems it becomes possible to increase the optimization and progressive functional automation of the activities interconnected to the assets' lifecycle. The proposed research presents a full-digital actionable framework based on pervasive and ubiquitous systems for security and facility management based on City Digital Twins. An integrated digital system for security management is introduced through the use of self-learning systems for unmanned security based on image recognition and AI. Finally, even maintenance operations can benefit from the configuration of predictive maintenance systems aimed at reducing costs and failures through a digital information management system combined with analytics based on data flows from sensors and historical data.

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A Distributed Intelligent System for Emergency Convoy

Cited by 5 publications

References 10 publications

Prioritization of Exigency Services in Multi-Agent Transportation Systems

Prioritization of Exigency Services in Multi-Agent Transportation Systems

A Multi-Agent System Approach for Emergency Services using QoS-Assured Cloud Computing Architecture in the Metropolitan Transportation System

Actionable Framework for City Digital Twin-Enabled Predictive Maintenance and Security Management Systems

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