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Stephen Arhin

Assistant Professor
Civil and Environmental Engineering
Howard University
United States of America

Biography

Dr. Arhin is an Assistant Professor in the Civil and Environmental Engineering Department at Howard University where he teaches several transportation and traffic engineering courses. He has managed several research projects for the District of Columbia and others, with an annual average research budget of $1.5 million since he joined the Center in 2001. Dr. Arhin has conducted several safety studies which have led to several implementations in DC, particularly, the evaluation of countdown pedestrian signals in DC (which led to the citywide installations) and the HAWK Signal at Georgia Avenue and Hemlock Street to improve pedestrian crossing at the intersection. He is a registered Professional Engineer (PE) in DC, MD and VA; a registered Professional Traffic Operations Engineer (PTOE), and a PMI-certified Project Management Professional (PMP). He is the current President-elect of the DC Society of Professional Engineers.

Research Interest

Intelligent Transportation Systems, Neural Networks and Fuzzy Logic, Traffic Control Devices, Traffic Operations and Safety, Pedestrian Safety and Management, Traffic Management and Monitoring Systems, Pavement Ride Quality, Traffic Modeling and Simulation, Highway Safety Data Analysis, Data Mining, Algorithms in Vehicle Adaptation Systems

Publications

  • “Predicting Pavement Condition Index Using International Roughness Index in a Dense Urban Area.” Journal of Civil Engineering Research, Scientific & Academic Publishing. http://article.sapub.org/10.5923.j.jce.20150501.02.html; Arhin S., Williams, L., Ribbiso, A., Anderson, M. (2015)

  • “Acceptable International Roughness Index Thresholds based on Present Serviceability Rating.” Journal of Civil Engineering Research, Scientific & Academic Publishing. http://article.sapub.org/10.5923.j.jce.20150501.02.html; Arhin S., Noel, E. and Ribbiso, A. (2015)

  • “Predicting Driver Braking and Stopping Behavior using an Intelligent Speed Adaptation System.” International Journal of Engineering Research & Technology, ESRSA Publications. http://www.ijert.org/view-pdf/13493/predicting-driver-braking-and-stoppi... Arhin, S., Eskandarian, A. (2015)

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