A Study for Development of Expressway Traffic Accident Prediction Model Using Deep Learning-Reference-Cited by-同舟云学术

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A Study for Development of Expressway Traffic Accident Prediction Model Using Deep Learning

Published:2018-08-31 Issue:4 Volume:17 Page:14-25
ISSN:1738-0774
Container-title:The Journal of The Korea Institute of Intelligent Transport Systems
language:
Short-container-title:J. Korea Inst. Intelligent. Transp. Syst.

Author:

Rye Jong-Deug, ,Park Sangmin,Park Sungho,Kwon Cheolwoo,Yun Ilsoo

Funder

National Research Foundation of Korea

Publisher

The Korea Institute of Intelligent Transport Systems

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Development of a Deep Neural Network-based Life Accident Evaluation Model for Weather-related Railway Accidents;KSCE Journal of Civil Engineering;2024-08-20

2. A deep neural network algorithm-based approach for predicting recovery period of accidents according to construction scale;Heliyon;2024-06

3. Development of Drowsiness Hotspot Classification Model Based on Spatiotemporal Characteristics;International Journal of Highway Engineering;2023-10-30

4. Financial Loss Assessment for Weather-Induced Railway Accidents Based on a Deep Learning Technique Using Weather Indicators;Applied Sciences;2023-09-18

5. Beyond concept: The viability of exclusive lanes for zero emission vehicles on expressways;Transportation Research Part D: Transport and Environment;2023-08

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