Identifying Factors Affecting the Time Taken for Drivers to Complete Freeway Merging Maneuvers under Varying Weather, Traffic, and Geometric Conditions-Reference-Cited by-同舟云学术

Identifying Factors Affecting the Time Taken for Drivers to Complete Freeway Merging Maneuvers under Varying Weather, Traffic, and Geometric Conditions

Published:2021-10 Issue:10 Volume:147 Page:04021065
ISSN:2473-2907
Container-title:Journal of Transportation Engineering, Part A: Systems
language:en
Short-container-title:J. Transp. Eng., Part A: Systems

Author:

Titiloye Ibukun¹,Adegbulugbe Oluwanifemi²,Abioye Olumide F.³,Kobelo Doreen⁴,Dulebenets Maxim A.⁵^ORCID,Sando Thobias⁶

Affiliation:

1. Graduate Research Assistant, Dept. of Civil and Environmental Engineering, Florida International Univ., 10555 W Flagler St., Miami, FL 33174 (corresponding author).

2. Graduate Research Assistant, Dept. of Civil and Environmental Engineering, Wayne State Univ., 5050 Anthony Wayne Dr., Detroit, MI 48202.

3. Operations Improvement Engineer, Airbus Group Inc., 21780 Filigree Court, Ashburn, VA 20147.

4. Associate Professor, Dept. of Construction and Civil Engineering Technology, Florida A&M Univ., 1339 Wahnish Way, Tallahassee, FL 32307.

5. Assistant Professor, Dept. of Civil and Environmental Engineering, Florida A&M Univ.-Florida State Univ., 2525 Pottsdamer St., Bldg. A, Suite A124, Tallahassee, FL 32310-6046. ORCID: .

6. Professor, School of Engineering, Univ. of North Florida, 1 UNF Dr., Bldg. 50, Suite 2102, Jacksonville, FL 32256.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/JTEPBS.0000555

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3. Drew D. R. L. R. Lamotte and J. H. Buhr. 1967. “Gap acceptance in the freeway merging process.” Accessed July 24 2019. https://static.tti.tamu.edu/tti.tamu.edu/documents/430-2.pdf.

4. Development of statistical models for improving efficiency of emergency evacuation in areas with vulnerable population;Dulebenets M. A.;Reliab. Eng. Syst. Saf.,2019

5. Multiobjective Optimization Model for Emergency Evacuation Planning in Geographical Locations with Vulnerable Population Groups