Home // SIMUL 2025, The Seventeenth International Conference on Advances in System Modeling and Simulation // View article
Authors:
Melika Ansarinejad
Ying Huang
Pan Lu
Keywords: Microsimulation; Autonomous Vehicles; Mixed Traffic Flow; Fuel Consumption; CO2 Emission; VISSIM; Bosch; Driving Behavior
Abstract:
Carbon dioxide (CO₂) remains the leading contributor to greenhouse gas (GHG) emissions in the United States, with passenger vehicles playing a significant role. As emerging transportation technologies introduce Autonomous Vehicles (AVs) into the existing fleet, understanding their impact on urban traffic systems becomes increasingly important. This study presents a simulation-based analysis of the effects of AVs on urban mobility, fuel consumption, and CO₂ emissions under mixed traffic conditions. Utilizing the Planung Transport Verkehr(PTV) Verkehr In Städten - SIMulationsmodell (VISSIM) microscopic traffic simulation platform, integrated with the Bosch Environmentally Sensitive Traffic Management (ESTM) module; designed for high- resolution simulation of traffic-related emissions; vehicle behaviors and emissions at a representative U.S. urban signalized intersection is evaluated. The simulation framework models ten AV market penetration scenarios, ranging from 0% to 100% in 10% increments, and captures behavioral distinctions between Autonomous and Human-driven Vehicles through calibrated adjustments to the Wiedemann 99 car- following parameters and vehicle speed distributions. Results indicate that higher AV penetration leads to improved traffic flow and significant reductions in CO₂ emissions. This study highlights the power of high-fidelity, integrated simulation-based methods in assessing future transportation systems and informing sustainable urban mobility planning.
Pages: 60 to 66
Copyright: Copyright (c) IARIA, 2025
Publication date: September 28, 2025
Published in: conference
ISSN: 2308-4537
ISBN: 978-1-68558-300-2
Location: Lisbon, Portugal
Dates: from September 28, 2025 to October 2, 2025