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

TL;DR

This paper presents a context-aware, agent-based model for monitoring and supporting long-distance vehicle transportation, integrating services through smart objects and communication protocols to enhance system sustainability and efficiency.

Contribution

It introduces a novel multi-agent model using the ODD protocol for long-distance transport monitoring, emphasizing service federation and smart object integration.

Findings

Effective vehicle tracking and monitoring demonstrated in simulations

Integration of services enhances system responsiveness and support

Model supports sustainable and context-aware transport systems

Abstract

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.