@article{ref1,
title="Data-driven approach to weather-responsive speed management of road tunnel access zones",
journal="Transportation research record",
year="2022",
author="Jung, Soyoung and Qin, Xiao",
volume="2676",
number="7",
pages="1-12",
abstract="In South Korea, one of the leading causes of motor vehicle crashes occurring at road tunnel entrances is speeding or failure to maintain a safe distance, especially during adverse weather conditions. The South Korean government released a strategic plan to address this issue through weather-responsive speed limit adjustments at tunnel entrances. This study aimed to assist the South Korean government's plan with a data-driven safety approach. In particular, crash data from freeway tunnel access zones were augmented with real-time traffic speed and weather data, and standard binomial logit regression (BLR) with random forest (RF)-based variable selection was employed. The key variables contributing to crashes at freeway tunnel access zones during adverse weather conditions were identified as: speeding or failure to maintain a safe distance; no existence of a roadside fence; freeway sections with a distance of 100 to 250 m from the tunnel entrance; and interactions of traffic speed with wet pavement, average hourly rainfall of 6 h, visibility, and humidity preceding crash. The current standards for weather-responsive speed limit adjustment and appropriate deployment of variable message signs can be informed by the findings of this study.<p /> <p>Language: en</p>",
language="en",
issn="0361-1981",
doi="10.1177/03611981221095749",
url="http://dx.doi.org/10.1177/03611981221095749"
}