Informing the Work Zone Safety Policy Analysis: Reconciling Multivariate Prediction and Artificial Neural Network Modeling-Reference-Cited by-同舟云学术

Informing the Work Zone Safety Policy Analysis: Reconciling Multivariate Prediction and Artificial Neural Network Modeling

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:

Shaer Amin¹,Talebian Ahmadreza²^ORCID,Mishra Sabyasachee³

Affiliation:

1. Dept. of Transportation Engineering, Isfahan Univ. of Technology, Isfahan 84156-83111, Iran.

2. Assistant Professor, Dept. of Transportation Engineering, Isfahan Univ. of Technology, Isfahan 84156-83111, Iran (corresponding author). ORCID: .

3. Professor, Dept. of Civil Engineering, Univ. of Memphis, 112D Engineering Science Building, Memphis, TN 38152.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/JTEPBS.TEENG-7732

Reference75 articles.

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4. Alruwaished A. F. 2014. “Characteristics of drivers who cause run-off-road-crashes on Ohio roadways.” Doctoral dissertation Dept. of Civil and Environmental Engineering and Engineering Mechanics Univ. of Dayton.

5. A comparison between artificial neural network and hybrid intelligent genetic algorithm in predicting the severity of fixed object crashes among elderly drivers;Amiri A. M.;Accid. Anal. Prev.,2020

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