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contributor authorAlabintei, Dengimowei D.
contributor authorAttoh-Okine, Nii
date accessioned2026-08-20T20:56:58Z
date available2026-08-20T20:56:58Z
date copyright2026/05/24
date issued2026
identifier otherJTEPBS.TEENG-9381.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313717
description abstractAbstractHighway-rail grade crossings, critical intersections where highways and railways meet, pose significant safety challenges, with approximately 2,000 incidents annually in the United States, according to the Federal Railroad Administration (FRA). ...Practical ApplicationsThis study demonstrates how crash history, traffic levels, highway features, and warning devices can be used together to estimate accident risk at highway-rail crossings. The results confirm that crossings with heavy traffic, higher ...
publisherAmerican Society of Civil Engineers
titleKolmogorov–Arnold Networks for Accident Risk Prediction at Highway-Rail Grade Crossings
typeJournal Article
journal volume152
journal issue8
journal titleJournal of Transportation Engineering, Part A: Systems
identifier doi10.1061/JTEPBS.TEENG-9381
journal fristpage04026049-1
journal lastpage04026049-12
page12
treeJournal of Transportation Engineering, Part A: Systems:;2026:;Volume ( 152 ):;issue: 008
contenttypeFulltext


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