Machine Learning Algorithms for Forecasting the Impacts of Connected and Automated Vehicles on Highway Construction Costs

A Mahdavian - 2022 - stars.library.ucf.edu
A multitude of externalities affects transport efficiency and numbers of trips. Population
expansion, urban development, political issues, fiscal trends, and growth in the field of …

[PDF][PDF] A Novel Approach to Proactively Optimize Urban Traffic Systems through Machine Learning

S Wang - 2023 - nhsjs.com
The inefficiency of traffic-light systems causes the average American to spend 122 days of
their life waiting at stoplights. New York, one of the most densely populated cities in the …

[HTML][HTML] Automated Machine Learning Pipeline for Traffic Count Prediction

A Mahdavian, A Shojaei, M Salem, H Laman, JS Yuan… - Modelling, 2021 - mdpi.com
Research indicates that the projection of traffic volumes is a valuable tool for traffic
management. However, few studies have examined the application of a universal …

A data-driven approach to characterize the impact of connected and autonomous vehicles on traffic flow

AB Parsa, R Shabanpour, A Mohammadian… - Transportation …, 2021 - Taylor & Francis
This study presents a model to characterize changes in network traffic flows as a result of
implementing connected and autonomous vehicle (CAV) technology based on traffic …

International Conference on Transportation and Development 2020: Emerging Technologies and Their Impact

G Zhang - 2020 - ascelibrary.org
NOTE: Due to the COVID-19 pandemic, this conference was cancelled. The proceedings
have been published to provide readers access to the information that would have been …

[图书][B] A Simulation-Based Optimization of Multiyear Infrastructure Planning for Connected and Automated Vehicles

FB Sanusi - 2022 - search.proquest.com
A wide adoption of connected and automated vehicles (CAVs) is anticipated in the near
future given their demonstrated benefits of the in terms of safety, mobility, and environmental …

[PDF][PDF] Applying Machine Learning techniques for predicting Traffic in Intelligent Transportation System

GL Sowmya, SR Madala, RC Tanguturi - kalaharijournals.com
Intelligent transportation (eg, intelligent traffic lights) improves the efficiency and
effectiveness of human travel. When it comes to intelligent transportation, it makes sense to …

[PDF][PDF] Service Level Evaluation of Florida's Highways Considering the Impact of Autonomous Vehicles

A Mahdavian, A Shojaei, A Oloufa - ISARC. Proceedings of the …, 2019 - researchgate.net
Automated vehicles (AV) are undergoing development at a remarkable pace and have the
potential to revolutionize the existing transportation system. The ASCE [1] evaluated the …

[PDF][PDF] Role and key applications of artificial intelligence & machine learning in transportation

M Shaheen, M Arshad, O Iqbal - European Journal of Technology, 2020 - ajpojournals.org
Purpose: The main target of this paper was to examine the significance of Artificial
Intelligence and Machine Learning and their effect on the transportation business …

The Positive Impacts of Artificial Intelligence in Highway Transport

U Chinwe, AC Apata… - Journal of Engineering …, 2024 - public.paper4promo.com
This Master's thesis titled" The Positive Impacts of Artificial Intelligence in Highway
Transport," explores the transformative effects of artificial intelligence in highway transport …