Search Results - "Codjoe, Julius"

Predicting Crash-Related Incident Clearance Time on Louisiana's Rural Interstate Using Ensemble Tree-Based Learning Methods.

Authors: Khan, Waseem Akhtar Moomen, Milhan Rahman, M. Ashifur et al.

Source: Applied Sciences (2076-3417); Dec2024, Vol. 14 Issue 23, p10964, 22p

Long-term evaluation of the operational performance of fixed time ramp metering control strategy: a freeway corridor study.

Authors: Osman, Osama Codjoe, Julius Ishak, Sherif et al.

Source: Canadian Journal of Civil Engineering. Nov2015, Vol. 42 Issue 11, p910-918. 9p. 8 Charts, 3 Graphs, 1 Map.

An Analysis of the Impact of Injury Severity on Incident Clearance Time on Urban Interstates Using a Bivariate Random-Parameter Probit Model.

Authors: Rahman, M. Ashifur Moomen, Milhan Khan, Waseem Akhtar et al.

Source: Stats; Sep2024, Vol. 7 Issue 3, p863-874, 12p

Mitigating Traffic Congestion on I-10 Mississippi River Bridge in Baton Rouge, LA.

Authors: Ahmed, Samir Osman, Osama Codjoe, Julius et al.

Source: MATEC Web of Conferences; 2019, Vol. 271, pN.PAG-N.PAG, 4p

Investigating older driver crashes on high-speed roadway segments: a hybrid approach with extreme gradient boosting and random parameter model.

Authors: Hossain, Ahmed Sun, Xiaoduan Das, Subasish et al.

Source: Transportmetrica A: Transport Science. Feb2026, Vol. 22 Issue 1, p1-35. 35p.

Market basket analysis of safety at active highway-railroad grade crossings.

Authors: Saunders, William J. Mousa, Saleh R. Codjoe, Julius

Source: Journal of Safety Research. Dec2019, Vol. 71, p125-137. 13p.

Subjects: Railroad crossings, United States. Federal Railroad Administration, Marketing research, Transportation engineering, Railroad management, Road interchanges & intersections, Chi-squared test, Government ownership of railroads

A Comprehensive Railroad-Highway Grade Crossing Consolidation Model: A Machine Learning Approach.

Authors: Soleimani, Samira Mousa, Saleh R. Codjoe, Julius et al.

Source: Accident Analysis & Prevention. Jul2019, Vol. 128, p65-77. 13p.

Applying machine learning, text mining, and spatial analysis techniques to develop a highway-railroad grade crossing consolidation model.

Authors: Soleimani, Samira Leitner, Michael Codjoe, Julius

Source: Accident Analysis & Prevention. Mar2021, Vol. 152, pN.PAG-N.PAG. 1p.

Post and during event effect of cell phone talking and texting on driving performance--a driving simulator study.

Authors: Thapa R Codjoe J Ishak S et al.

Source: Traffic injury prevention [Traffic Inj Prev] 2015; Vol. 16 (5), pp. 461-7. Date of Electronic Publication: 2015 Jan 28.

Publication Type: Journal Article; Research Support, Non-U.S. Gov't

Journal Info: Publisher: Taylor & Francis, Inc Country of Publication: England NLM ID: 101144385 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1538-957X (Electronic) Linking ISSN: 15389588 NLM ISO Abbreviation: Traffic Inj Prev Subsets: MEDLINE

Experimental modeling of the effect of hurricane wind forces on driving behavior and vehicle performance.

Authors: Rodriguez JM Codjoe J Osman O et al.

Source: Journal of emergency management (Weston, Mass.) [J Emerg Manag] 2015 Mar-Apr; Vol. 13 (2), pp. 159-72.

Publication Type: Journal Article; Research Support, Non-U.S. Gov't

Journal Info: Publisher: Prime National Pub. Corp Country of Publication: United States NLM ID: 101284695 Publication Model: Print Cited Medium: Print ISSN: 1543-5865 (Print) Linking ISSN: 15435865 NLM ISO Abbreviation: J Emerg Manag Subsets: MEDLINE