Shweta Kulkarni, Raju Ramrao Kulkarni | International Journal of Transportation Engineering and Traffic System | Vol 10, Issue 02 | pp. 26-30 | ISSN: 2456-2343
Abstract
Abstract
As urban areas continue to expand, the dual challenges of traffic congestion and vehicle emissions pose significant threats to the quality of urban life, public health, and environmental sustainability. In this context, autonomous vehicles (AVs) represent a revolutionary shift in transportation technology, with the potential to transform urban mobility systems. This study explores the multifaceted role of AVs in alleviating urban traffic congestion and reducing emissions, employing a combination of simulation models and real-world case studies to analyze their effects across diverse urban environments. The research focuses on key metrics, such as travel time reductions, fuel consumption efficiency, and emissions output, under varying levels of AV adoption. By simulating different traffic scenarios, we observe that AVs contribute to smoother traffic flows by minimizing human driving errors and optimizing vehicle interactions. Results indicate that AVs can lead to significant decreases in travel times, with potential reductions of up to 30% in heavily congested urban corridors. Moreover, the shift to AVs is associated with notable reductions in greenhouse gas emissions, primarily due to enhanced driving efficiency and reduced idle times. However, the effectiveness of AV technology is not uniform; it varies significantly based on factors, such as urban density, existing infrastructure, and the proportion of AVs within the overall vehicle fleet. High-density urban areas show more substantial benefits, while suburban regions experience moderate improvements. The findings underscore the importance of a strategic approach to AV integration, emphasizing the need for complementary infrastructure investments, policy frameworks, and public engagement to maximize benefits. The study calls for collaboration among stakeholders, including urban planners, policymakers, and technology developers, to create a robust framework that supports the seamless transition to AVs in urban settings. This research contributes essential insights for future urban mobility strategies, highlighting the need for a coordinated response to harness the full potential of autonomous driving technologies in achieving sustainable urban transportation goals.
Keywords: Autonomous vehicles, urban traffic congestion, emissions reduction, urban mobility, simulation models, traffic scenarios, travel time reduction, fuel consumption efficiency, greenhouse gas emissions, infrastructure investment, policy framework, public engagement, sustainable transportation.
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How to cite this article
@article{KulkarniS2024,
author = {Shweta Kulkarni and Raju Ramrao Kulkarni},
title = {The Role of Autonomous Vehicles in Alleviating Urban Traffic Congestion and Reducing Emissions},
journal = {International Journal of Transportation Engineering and Traffic System},
year = {2024},
volume = {10},
number = {02},
pages = {26--30},
issn = {2456-2343},
url = {https://journalspub.com/publication/ijtets/article=13901}
}