Associating Incident Clearance Duration with Freeway Segment Types Using Hierarchical Bayesian Survival Model

Author:

Salum Jimoku H.1ORCID,Kodi John H.2,Kidando Emmanuel3,Alluri Priyanka4,Sando Thobias5

Affiliation:

1. Research Associate, Dept. of Civil and Environmental Engineering, Florida International Univ., 10555 West Flagler St., EC 3735, Miami, FL 33174 (corresponding author). ORCID: .

2. Graduate Research Assistant, Dept. of Civil and Environmental Engineering, Florida International Univ., 10555 West Flagler St., EC 3720, Miami, FL 33174.

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

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

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

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Reference46 articles.

1. Characteristics of the driver behaviour in weaving sections: Empirical study;Al-Jameel H.;Int. J. Eng. Res. Technol.,2013

2. Amer, A., E. Roberts, U. Mangar, W. H. Kraft, J. T. Wanat, P. C. Cusolito, J. R. Hogan, and X. Zhao. 2015. Traffic incident management gap analysis primer—FHWA office of operations. Washington, DC: FHWA.

3. Impact of abandoned and disabled vehicles on freeway incident duration;Chimba D.;J. Transp. Eng.,2014

4. FDOT. 2016. “Statewide road ranger survey for incident responders.” Accessed September 26 2022. https://www.swfltim.org/Docs/Survey/2016 Statewide Road Ranger Survey.pdf.

5. Understanding predictive information criteria for Bayesian models;Gelman A.;Stat. Comput.,2014

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