A Data-Driven Deep Learning Framework for Prediction of Traffic Crashes at Road Intersections

A Data-Driven Deep Learning Framework for Prediction of Traffic Crashes at Road Intersections

Traffic crash prediction (TCP) is a fundamental problem for intelligent transportation systems in smart cities. Improving the accuracy of traffic crash prediction is important for road safety and effective traffic management. Owing to recent advances in artificial neural networks, several new deep-l...

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Bibliographic Details
Main Authors: Mengxiang Wang, Wang-Chien Lee, Na Liu, Qiang Fu, Fujun Wan, Ge Yu
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Applied Sciences
Subjects:
machine learning
artificial intelligence
neural network
data mining
road intersection
traffic crash prediction
Online Access:https://www.mdpi.com/2076-3417/15/2/752
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