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Jalil Kianfar, Ph.D., P.E.

Assistant Professor of Civil Engineering


Ph.D. in Civil Engineering, University of Missouri
B.Sc. in Civil Engineering, Azad University-Najaf Abad
M.Sc. in Civil Engineering, Azad University-Tehran South
B.Sc. in Civil Engineering, Azad University-Najaf Abad, Iran

Research Interests

Kianfar’s research interests include traffic operations, traffic modeling and simulation, Intelligent Transportation Systems, connected vehicles, transportation safety, optimization and heuristic techniques. While studying at University of Missouri, Kianfar developed a connected vehicle simulation test-bed. The simulation test-bed provided a foundation to further investigate the various applications of connected vehicle technology. The test-bed was used to develop a framework for the placement of roadside equipment units (RSEs) in an urban network. Kianfar has conducted work and research in the field of transportation engineering in a variety of environments. He has been involved in development of simulation models for connected vehicles, evaluation of active traffic management strategies, development of travel demand forecasting models, and analysis of pedestrian and transit facilities. 

Publications and Media Placements

Printed Archival Peer-Reviewed Journals
Chen, C., Kianfar, J., and Edara, P. New Snapshot Generation Protocol for Travel Time Estimation in a Connected Vehicle Environment. Transportation Research Record: Journal of the Transportation Research Board (in press).

Kianfar, J., and Edara, P. Placement of Roadside Equipment (RSE) in Connected Vehicle Environment for Travel Time Estimation. Transportation Research Record: Journal of the Transportation Research Board, Vol. 2381, pp. 20-27, 2013. DOI: 10.3141/2381-03

Edara, P., Kianfar, J., and Sun, C. Analytical Methods for Deriving Work Zone Capacities from Field Data. ASCE Journal of Transportation Engineering, Vol. 138, No.6, pp. 809-818, 2012. DOI: 10.1061/(ASCE)TE.1943-5436.0000374

Kianfar, J., and Edara, P. Optimizing Freeway Traffic Sensor Locations by Clustering Global Positioning System Derived Speed Patterns. IEEE Transactions on Intelligent Transportation Systems, Vol. 11, No. 3, pp. 738-747, 2010. DOI: 10.1109/TITS.2010.2051329

Zargari, S. A., and Kianfar, J. A Hybrid Neuro-Genetic Approach to Short-Term Traffic Volume Prediction. International Journal of Civil Engineering, Vol. 7, No. 1, pp. 41-48, 2009. 

Community Work and Service

Jalil Kianfar, Ph.D., joined Parks College of Engineering, Aviation, and Technology in January 2014 as Assistant Professor of Civil Engineering.