Cost prediction of building projects using the novel hybrid RA-ANN model

Y Wang, J Zuo, M Pan, B Tu, RD Chang… - Engineering …, 2023 - emerald.com
Purpose Accurate and timely cost prediction is critical to the success of construction projects
which is still facing challenges especially at the early stage. In the context of rapid …

A universal automated data-driven modeling framework for truck traffic volume prediction

A Mahdavian, A Shojaei, M Salem, H Laman… - IEEE …, 2021 - ieeexplore.ieee.org
Knowledge of the truck traffic volumes on state and interstate highways is critical for highway
authorities and federal organizations. Increased urbanization, population growth, and …

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 …

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 Universal Automated Data-Driven Modeling Framework for Truck Traffic Volume Prediction

N ELURU, A OLOUFA - academia.edu
Knowledge of the truck traffic volumes on state and interstate highways is critical for highway
authorities and federal organizations. Increased urbanization, population growth, and …