Application of machine learning models to predict driver left turn destination lane choice behavior at urban intersections-Reference-Cited by-同舟云学术

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Application of machine learning models to predict driver left turn destination lane choice behavior at urban intersections

Published:2024-03 Issue: Volume:13 Page:155-170
ISSN:2046-0430
Container-title:International Journal of Transportation Science and Technology
language:en
Short-container-title:International Journal of Transportation Science and Technology

Author:

Moinuddin Mohammed^ORCID,Proffer Logan,Vechione Matthew^ORCID,Khanal Aaditya^ORCID

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Transportation,Automotive Engineering,Civil and Structural Engineering

Reference31 articles.

1. Random Forests;Breiman;Mach. Learn.,2001

2. Cambridge Systematics. 2007a. NGSIM Lankershim Data Analysis (8:30 a.m. to 8:45 a.m.) Summary Report, Cambridge Systematics Inc., Oakland, CA.

3. Cambridge Systematics 2007b. NGSIM Lankershim Data Analysis (8:45 a.m. to 9:00 a.m.) Summary Report, Cambridge Systematics Inc., Oakland, CA.

4. Cambridge Systematics. 2007c. NGSIM Peachtree Street (Atlanta) Data Analysis (12:45 p.m. to 1:00 p.m.) Summary Report, Cambridge Systematics Inc., Oakland, CA.

5. NGSIM Peachtree Street (Atlanta) Data Analysis (4:00 p.m. to 4:15 p.m.);Cambridge Systematics,2007

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