Prediction of Traffic Incident Clearance Duration Using Neural Network for Multimodal Data Distribution-Reference-Cited by-同舟云学术

Prediction of Traffic Incident Clearance Duration Using Neural Network for Multimodal Data Distribution

Published:2024-09 Issue:9 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:

Kidando Emmanuel¹,Mihayo Meshack²^ORCID,Salum Jimoku H.³,Kutela Boniphace⁴^ORCID,Kitali Angela E.⁵,Alluri Priyanka⁶,Sando Thobias⁷

Affiliation:

1. Assistant Professor, Dept. of Civil and Environmental Engineering, Cleveland State Univ., 2121 Euclid Ave., Cleveland, OH 44115.

2. Graduate Research Assistant, Dept. of Civil and Environmental Engineering, Cleveland State Univ., 2121 Euclid Ave., Cleveland, OH 44115 (corresponding author). ORCID: .

3. Ph.D. Student, Dept. of Civil and Environmental Engineering, Florida International Univ., 10555 West Flagler St., EC 3735, Miami, FL 33174.

4. Assistant Research Scientist, Traffic Operations and Roadway Safety Division, Texas A&M Transportation Institute, 1111 RELLIS Pkwy., Bryan, TX 77807. ORCID: .

5. Assistant Professor, School of Engineering and Technology, Univ. of Washington Tacoma, 1900 Commerce St., Tacoma, WA 98402.

6. Associate Professor, Dept. of Civil and Environmental Engineering, Florida International Univ., 10555 West Flagler St., EC 3628, Miami, FL 33174.

7. Professor, School of Engineering, Univ. of North Florida, 1 UNF Dr., Jacksonville, FL 32224.

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/JTEPBS.TEENG-7923

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