My doctoral dissertation is to design a high-density parking lot for autonomous vehicles. I solve a facility planning & design problem using methods from operations research and artificial intelligence.
Abstract: Taking advantage of self-parking and intelligent communication systems of autonomous vehicles, we propose puzzle-based parking, a high density design for a parking lot. We introduce a novel method of vehicle parking, which leads to maximum parking density. We then propose a heuristic method to solve larger problems, and mathematically prove that the method produces optimal results. To improve layout designs reducing vehicular movements, we propose a use of a local search integrated with a deep reinforcement learning method. Finally, to take advantage of these puzzle-based designs in large-scale, we propose a modular layout design.
Parag J. Siddique, Kevin R. Gue, and John S. Usher, “Puzzle-based Parking,” Transportation Research Part C: Emerging Technologies, 2021.
Parag J. Siddique, Kevin R. Gue, and Md Salahuddin Ayuby, “The Small World of Material Handling Research,” Progress in Material Handling Research, 2018.
Parag J. Siddique, Huynh Trung Luong, and Muhammad Shafiq, “An Optimal Joint Maintenance and Spare Parts Inventory Model,” International Journal of Industrial and Systems Engineering 29:2, 177-192, 2018.