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Agent-Based Modeling of Urban Traffic Scenarios for Improved Priority Vehicle Mobility

Authors:
Antonio Gonzalez cuevas
Alvaro Wong
Remo Suppi Boldrito

Keywords: traffic simulation; urban mobility simulation; real-world data; priority vehicles

Abstract:
This study is oriented to analyzing urban mobility challenges, with a focus on improving traffic flow conditions for priority vehicles in complex urban environments. Leveraging Agent-Based Models (ABM) in conjunction with Geographic Information Systems (GIS), the research aims to simulate various traffic scenarios to enhance the efficiency of urban mobility, with a particular emphasis on the movement of priority vehicles. The investigation explores the crucial role of priority vehicles, including but not limited to ambulances, within urban settings. It examines factors such as traffic congestion, infrastructure design, and the impact of traffic management strategies on the mobility of these essential services. A key component of this research involves conducting "What if?" analyses under different traffic conditions, such as mixed traffic flows, dedicated lanes, and emergency route prioritization. These simulations aim to evaluate the potential outcomes of various urban planning strategies on the efficiency of priority vehicle movement and overall traffic flow dynamics. This implementation serves as a foundational step towards understanding and simulating urban traffic scenarios. In the future, the project will integrate priority vehicles into the model and move to a High Performance Computing (HPC) environment. This article outlines the current state of the traffic model, focusing on the NetLogo implementation, and previews the upcoming integration of priority vehicles and the transition to HPC. While initially centered around Barcelona, the methodologies developed through this study are designed to be adaptable for application in other urban areas. The ultimate goal is to contribute to the development of effective traffic management strategies that prioritize the mobility of priority vehicles, thereby enhancing public safety and operational efficiency across densely populated urban environments.

Pages: 51 to 57

Copyright: Copyright (c) IARIA, 2024

Publication date: September 29, 2024

Published in: conference

ISSN: 2308-4537

ISBN: 978-1-68558-197-8

Location: Venice, Italy

Dates: from September 29, 2024 to October 3, 2024