Under the light of the importance of finding smart solutions for cities strategic issues and in conjunction with the broad race for urban development in order to provide the best living environment and the most appropriate tourist destination, Mobility Management occupies the first place among these issues. Due to the variation in the urban fabric of cities, especially the old historical neighborhoods that are unique in their nature, composition, and conditions for their preservation, challenges related to mobility management raised in these critical areas. Therefore, in this study, we present a smart suggestion to solve the problem of providing smart parking system in Shindagha Historical District in Dubai, that has recently been revived to be the largest open museum in world. This project includes the provision of a smart parking system, studied thoughtfully across the urban and logistical conditions, determinants of urban fabric with respecting the identity of this region, which is linked to a smart tourism guidance system based on a live data platform derived from the museums and facilities that exist in this neighborhood. Moreover, this project contains a smart proposal of current public parking, in order to provide smooth and fast parking in areas with reducing the needed time to find a parking. The proposed solution will be a source of income for the city in the parking management sector. The objectives of the proposed study revolve around shortening the time spent to find a parking in the crowded areas, limiting traffic congestion, planning dynamic path of vehicle movement, reducing unnecessary energy consumption, reducing environmental pollution and gases emissions, maximizing the exploitation of the resources and facilities available in it, and organizing the movement of masses under conditions maintaining security and safety, as proposed models have been suggested for the studied area, with consideration of suitability of the design to the main purpose of the solution, best methods of construction, logistical elements and special conditions. Data have been drawn from the relevant official authorities in Dubai and according to a work methodology based on algorithms of possible occurrences, estimated queue lengths in transport impact analysis and SWOT analysis, in order to evaluate the effectiveness of those proposed smart solutions to lead to the best, smartest and most sustainable model for managing parking lots and masses congestions in such distinctive neighborhoods.

Publication Date


Document Type

Master's Project

Student Type


Degree Name

Professional Studies - City Sciences (MS)

Department, Program, or Center

Graduate Programs & Research (Dubai)


Sanjay Modak

Advisor/Committee Member

Giovanna Potesta


RIT Dubai