Context-Aware Agent-based Model for Smart Long Distance Transport System

Fuente: arXiv
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Hauptverfasser: Raees, Muhammad, Ahmed, Afzal
Format: Preprint
Veröffentlicht: 2024
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author Raees, Muhammad
Ahmed, Afzal
author_facet Raees, Muhammad
Ahmed, Afzal
contents Long-distance transport plays a vital role in the economic growth of countries. However, there is a lack of systems being developed for monitoring and support of long-route vehicles (LRV). Sustainable and context-aware transport systems with modern technologies are needed. We model for long-distance vehicle transportation monitoring and support systems in a multi-agent environment. Our model incorporates the distance vehicle transport mechanism through agent-based modeling (ABM). This model constitutes the design protocol of ABM called Overview, Design, and Details (ODD). This model constitutes that every category of agents is offering information as a service. Hence, a federation of services through protocol for the communication between sensors and software components is desired. Such integration of services supports monitoring and tracking of vehicles on the route. The model simulations provide useful results for the integration of services based on smart objects.
format Preprint
id arxiv_https___arxiv_org_abs_2409_02434
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Context-Aware Agent-based Model for Smart Long Distance Transport System
Raees, Muhammad
Ahmed, Afzal
Multiagent Systems
Long-distance transport plays a vital role in the economic growth of countries. However, there is a lack of systems being developed for monitoring and support of long-route vehicles (LRV). Sustainable and context-aware transport systems with modern technologies are needed. We model for long-distance vehicle transportation monitoring and support systems in a multi-agent environment. Our model incorporates the distance vehicle transport mechanism through agent-based modeling (ABM). This model constitutes the design protocol of ABM called Overview, Design, and Details (ODD). This model constitutes that every category of agents is offering information as a service. Hence, a federation of services through protocol for the communication between sensors and software components is desired. Such integration of services supports monitoring and tracking of vehicles on the route. The model simulations provide useful results for the integration of services based on smart objects.
title Context-Aware Agent-based Model for Smart Long Distance Transport System
topic Multiagent Systems
url https://arxiv.org/abs/2409.02434