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Parking Case Study

CHAPTER 1

INTRODUCTION
1.1 Background
Population growth is a great concern in urban areas. As the population grows, the number of car also increases and the demand for parking spaces rises. Even though more parking facilities are built, there are still several problems in utilization. A major problem involves the time wasted searching for parking places, which not only causes road congestion and irate drivers searching for empty parking spaces, but has a big negative impact on the environment.
Clearly, a solution is needed that will be hassle free for the parking users. The solution proposed here allows the driver to make a reservation online. The system will be monitored in a real time and will allow users to make reservations for parking
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This results in them taking a slower approach to replacing old systems which prolongs the problem (gtechna, 2016). This system aims to minimise integration issues and help foster acceptance at a comfortable pace, hence properly managing the change-over process.
There is also wasted space in some current car parking locations. In these locations, there are more parking spaces per vehicle, and most are empty most of the time. The need, location, and cost must be considered and convenience-driven to increase sustainability (Rucks and Guevara- Stone, 2013).
Although smart parking solutions have been successful, there are no city-wide solutions across the disjointed public and private parking suppliers, thus making them uncoordinated. If occupancy data exists, they lack standardization or accessibility and do not have an integration API that would allow access of these data. Hence, there is the need of having a universal API to make data more accessible and standardised.

1.3 Aim and
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This will minimize their expenses on fuel consumption. Also, the system reduces the investor’s expenses, i.e. instead of employing a lot people to monitor the parking the system, the system will only need few people to operate it effectively.
The system that will be developed infrared sensors which are more economical to purchase and operate compared to cameras. Since the system does not involve image recognition, the data storage required will be very small compared to that for images. The proposed system is managed online and is automated. Furthermore, the business owner would have less labour costs to monitor the car parking and payment options. The system that will be developed will not require plate number recognition as the user will use code to enter the parking after they make

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