A State-of-the-art Integrated Transportation Simulation Platform

TL;DR

This paper introduces a cloud-based, agent-driven transportation simulation platform using IEEE HLA standards to enable interoperable, collaborative, and multi-resolution analysis of traffic systems, addressing current limitations in simulation tools.

Contribution

It proposes a novel integrated platform that combines agent control, cloud services, and HLA standards for improved transportation system simulation.

Findings

Literature review on existing transportation simulation tools

Proposed architecture for the integrated platform

Potential for enhanced collaboration and interoperability

Abstract

Nowadays, universities and companies have a huge need for simulation and modelling methodologies. In the particular case of traffic and transportation, making physical modifications to the real traffic networks could be highly expensive, dependent on political decisions and could be highly disruptive to the environment. However, while studying a specific domain or problem, analysing a problem through simulation may not be trivial and may need several simulation tools, hence raising interoperability issues. To overcome these problems, we propose an agent-directed transportation simulation platform, through the cloud, by means of services. We intend to use the IEEE standard HLA (High Level Architecture) for simulators interoperability and agents for controlling and coordination. Our motivations are to allow multiresolution analysis of complex domains, to allow experts to collaborate on the analysis of a common problem and to allow co-simulation and synergy of different application domains. This paper will start by presenting some preliminary background concepts to help better understand the scope of this work. After that, the results of a literature review is shown. Finally, the general architecture of a transportation simulation platform is proposed.