Publications

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2017
Hassan, A. E., and K. Abdelghany, "Dynamic origin-destination demand estimation using separable programming approach", Advances in Transportation Studies, vol. 43, issue XLIII, pp. 93-110, 2017.
2015
Abdelghany, K., A. E. Hassan, A. Alnawaiseh, and H. Hashemi, "Flow-based and density-based time-dependent demand estimation for congested urban transportation networks", Transportation Research Record: Journal of the Transportation Research Board , vol. 2498, issue 4, 2015.
2014
Alnawaiseh, A. F., K. F. Abdelghany, and A. E. Hassan, "Rollback Approach for Demand Consistency Checking of Real-Time Traffic Network State Estimation Models", Transportation Research Record: Journal of the Transportation Research Board,, vol. 2467, pp. 30-39, 2014. rollback_approach_for_d.pdf
2013
Hashemi, H., K. F. Abdelghany, A. E. Hassan, and M. M. Lezar, "Real-Time Traffic Network State Estimation and Prediction with Decision Support Capabilities: Application to Integrated Corridor Management", the 92nd Annual Meeting of the Transportation Research Board, Washington D.C., January 2013. real-time_traffic.pdf
Etemadnia, E., K. Abdelghany, and A. E. Hassan, "A Network Partitioning Methodology for Distributed Traffic Management Applications", Transportmetrica A: Transport Science, vol. 10, issue 6, pp. 518-532, 2013.
Etemadnia, H., A. H. M. E. D. HASSAN, S. Goetz, and K. Abdelghany, "Wholesale Hub Locations in Food Supply Chains", Transportation Research Record, vol. 2379, no. 1, pp. 80-89, 2013. AbstractWebsite

This paper addresses the wholesale hub location problem in food supply chains. The paper aims to design an optimal hub location network to serve food consumption markets through efficient connections with production sites. These optimal locations can be compared with the current locations of hubs to determine whether changes could lead to greater efficiencies. The model is mathematically formulated as a mixed-integer programming problem. The model minimizes the total network costs, which include the transportation of goods and the construction of hubs. The mathematical program considers several constraints on travel distance, hub capital cost and capacity, road condition, and transportation cost. Several experiments are conducted to test the sensitivity of the model to changes in parameters such as the food's average travel distance, the maximum hub capacity, and the transportation cost. Then, a real-world application is made to the Northeast United States livestock industry. Finally, the results show the effect of the changes in model parameters on the optimal hub network design (i.e., the number of hubs and the selection of hub locations).

2010
Hassan, A. E., K. F. Abdelghany, and A. F. Abdelghany, "Modeling Framework for Evaluating Sensitivity of Airline Schedules to Airport Congestion Pricing", Transportation Research Record: Journal of the Transportation Research Board, vol. 2177, pp. 33-40, 2010. airportpricing-competitionequilibrium.pdf
Tourism