Prediction of Truck-Involved Crash Severity on a Rural Mountainous Freeway Using Transfer Learning with ResNet-50 Deep Neural Network-Reference-Cited by-同舟云学术

Prediction of Truck-Involved Crash Severity on a Rural Mountainous Freeway Using Transfer Learning with ResNet-50 Deep Neural Network

Published:2024-02 Issue:2 Volume:150 Page:
ISSN:2473-2907
Container-title:Journal of Transportation Engineering, Part A: Systems
language:en
Short-container-title:J. Transp. Eng., Part A: Systems

Author:

Khan Md Nasim¹^ORCID,Das Anik²^ORCID,Ahmed Mohamed M.³^ORCID

Affiliation:

1. Postdoctoral Scholar, Civil Engineering Program Ingram School of Engineering, Texas State Univ., RFM 5224, 601 University Dr., San Marcos, TX 78666. ORCID: .

2. Postdoctoral Research Associate, Research and Implementation Program, Texas A&M Transportation Institute, 1111 RELLIS Pkwy., Room 3448, Bryan, TX 77807-3135 (corresponding author). ORCID: .

3. Professor and Director, Dept. of Civil and Architectural Engineering and Construction Management, Transportation Center Baldwin Hall, CEAS - Civil Eng–0071, Univ. of Cincinnati, 2850 Campus Way, Cincinnati, OH 45221-0071. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/JTEPBS.TEENG-7304

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