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Parking Capacity Optimization Using Linear Programming

Akmal S. Abdelfatah and MahmoudA. Taha
American University of Sharjah, Civil Engineering, Sharjah, UAE
Abstract—As the number of automobiles increases, the task of providing parking lots to accommodate more vehicles becomes very difficult and challenging. The design of parking lots needs more attention in order to have efficient and safe design. The capacity of a parking lot depends on many factors such as the parking angle. Choosing the most efficient parking angle is not an easy task since it varies with many factors such as the geometry and the circulation inside the parking lot. In this study, Integer Linear Programming (ILP)is used to determine the optimal parking angle. Different cases are formulated considering different layouts and dimensions in order to choose the parking angle which will provide the maximum number of spaces. Furthermore, the LINDO software is utilized to find out the optimal parking angle for each given area. The results showed thatLinear Programmingresulted in an enhanced the parking design since it allows for different combinations between the parking angles within the same parking facility. For future work, the formulation can be modified to suite irregular shapes within parking areas.

Index Terms—parking design,linear programming,parking angle, parking capacity

Cite: Akmal S. Abdelfatah and MahmoudA. Taha, "Parking Capacity Optimization Using Linear Programming," Journal of Traffic and Logistics Engineering, Vol. 2, No. 3, pp. 176-181, September 2014. doi: 10.12720/jtle.2.3.176-181
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