Review of methods for estimating construction work zone capacity

AH Mashhadi, M Farhadmanesh… - Transportation …, 2021 - journals.sagepub.com
Road reconstruction and the resulting work zones are considered as a major source of traffic
congestion and delays on freeways. The roadway capacity is decreased as a result of a …

Understanding the potential of emerging digital technologies for improving road safety

ME Torbaghan, M Sasidharan, L Reardon… - Accident Analysis & …, 2022 - Elsevier
Abstract Each year, 1.35 million people are killed on the world's roads and another 20–50
million are seriously injured. Morbidity or serious injury from road traffic collisions is …

Prioritizing postdisaster recovery of transportation infrastructure systems using multiagent reinforcement learning

P Ghannad, YC Lee, JO Choi - Journal of Management in …, 2021 - ascelibrary.org
Postdisaster reconstruction of transportation infrastructures generally entails complex and
multiobjective planning and implementation options under uncertainty because of a large …

[HTML][HTML] Visualization analysis of cross research between big data and construction industry based on knowledge graph

G Chen, J Hou, C Liu, K Hu, J Wang - Buildings, 2022 - mdpi.com
Big data technology has triggered a boom in research and applications around the world.
The construction industry has ushered in a new technological change in this context …

An Attention-Based Multi-Context Convolutional Encoder-Decoder Neural Network for Work Zone Traffic Impact Prediction

Q Jiang, X Liao, Y Gong, J Ma - arXiv preprint arXiv:2405.21045, 2024 - arxiv.org
Work zone is one of the major causes of non-recurrent traffic congestion and road incidents.
Despite the significance of its impact, studies on predicting the traffic impact of work zones …

Erroneous high occupancy vehicle lane data: detecting misconfigured traffic sensors with machine learning

N Fournier, YZ Farid, A Patire - Transportation research …, 2023 - journals.sagepub.com
Quality data are vital to the planning and operation of traffic systems. High occupancy
vehicle (HOV) lanes, for instance, must comply with federal performance standards. If an …

Using Deep Neural Networks and Big Data to Predict Microscopic Travel Time in Work Zones

Y Morshedzadeh, S Gargoum… - Transportation …, 2024 - journals.sagepub.com
Traffic management in work zones is a challenging task that requires a balance between
creating a safe environment for workers and minimizing traffic delays. Accurately predicting …

Safety and Mobility Analysis of Rolling Slowdown for Work Zones: Comparison with Full Closure

AJ Nafakh, FV Davila, Y Zhang, JD Fricker… - 2022 - docs.lib.purdue.edu
There are times when the traffic lanes through a work zone must be kept clear for activities
such as placing overhead beams, erecting overhead signs, and installing power lines, and …

[HTML][HTML] Harnessing machine learning for classifying economic damage trends in transportation infrastructure projects

J Bae, SG Yum, JM Kim - Sustainability, 2021 - mdpi.com
Given the highly visible nature, transportation infrastructure construction projects are often
exposed to numerous unexpected events, compared to other types of construction projects …

A land-use clustering approach to capturing the level-of-service of large urban corridors: A case study in downtown Los Angeles

J Bae, K Choi - … and Planning B: Urban Analytics and City …, 2021 - journals.sagepub.com
Level-of-service has been widely used to measure the operational efficiency of existing
highway systems categorically, based on certain ranges of traffic speeds. However, this …