[HTML][HTML] Back-propagation neural network model to predict visibility at a road link-level

VR Duddu, SS Pulugurtha, AS Mane… - Transportation research …, 2020 - Elsevier
Fog and rain influence the ability of the drivers to see other vehicles, pedestrians, bicyclists,
and fixed objects, and, hence, increase the likelihood of getting involved in a crash on a …

Machine-learning regression applied to diagnose horizontal visibility from mesoscale NWP model forecasts

D Bari, A Ouagabi - SN Applied Sciences, 2020 - Springer
Low-visibility conditions are a weather hazard that affects all forms of transport, and accurate
forecasting of their spatial coverage is still a challenge for meteorologists, particularly over a …

[HTML][HTML] Quantifying the effect of rainfall and visibility conditions on road traffic travel time reliability

S Mathew, SS Pulugurtha - Weather, climate, and society, 2022 - journals.ametsoc.org
This research explores a data-driven methodological framework to quantify the effect of
rainfall and visibility on travel time reliability (TTR) by considering selected road segments in …

An ensemble learning method for low visibility prediction on freeway using meteorological data

B Zhai, Y Wang, B Wu - IET Intelligent Transport Systems, 2023 - Wiley Online Library
The prediction of low visibility is essential for proactive traffic safety management on
freeways under fog conditions. However, few studies have developed prediction models for …

[HTML][HTML] Exploring the effect of mountainous terrain on weather-related crashes

A Ogungbire, P Kalambay, SS Pulugurtha - IATSS Research, 2024 - Elsevier
Mountainous areas pose unique challenges to transportation safety, with their complex
terrain and harsh weather conditions. The presence of steep terrain can lead to winding …

Calibrated confidence learning for large-scale real-time crash and severity prediction

MR Islam, D Wang, M Abdel-Aty - npj Sustainable Mobility and …, 2024 - nature.com
Real-time crash and severity prediction is a complex task, and there is no existing framework
to predict crash likelihood and severity together. Creating such a framework poses …

Analysis of Connected Vehicle Data to Quantify National Mobility Impacts of Winter Storms for Decision Makers and Media Reports

J Desai, JK Mathew, H Li, RS Sakhare, D Horton… - Future …, 2023 - mdpi.com
Traditional techniques of monitoring roadway mobility during winter weather have relied on
embedded road sensors, roadside cameras, radio reports from public safety staff, or public …

[PDF][PDF] Analysis of road safety in the context of horizontal visibility within intersections–field studies

N Brycht - System Safety: Human-Technical Facility-Environment, 2020 - sciendo.com
One of the important factors on which road safety depends is adequate visibility. This article
analyses horizontal visibility within road intersections. The visibility condition depends on …

Effect of Weather Events on Travel Time Reliability and Crash Occurrence

S Mathew, SS Pulugurtha - 2022 - scholarworks.sjsu.edu
On average, nearly 5,000 people are killed and more than 418,000 people are injured, in
weatherrelated crashes every year in the United States (USDOT 2018). Further, about 23 …

Effect of Weather Events on Travel Time Reliability and Crash Occurrence [Report]

S Mathew, SS Pulugurtha - 2022 - rosap.ntl.bts.gov
The magnitude of the effect of adverse weather conditions on road operational performance
varies with the type of weather condition and the road characteristics of the road links and …