Today car drivers struggle to find a free parking space for their cars. It is considered a big challenge specially in large cities and in rush hours. Many studies considered this problem and how it influences our life. This increases emissions and energy consumption and wastes people’s times as they try to find a free space for their cars. People normally become exhausted all over the day to reach their destination which causes stress and make them lose their temper. This would have a bad impact on the quality of life and economy. Based on the above, today people expect technology to address this problem and hence find a suitable solution to end the suffering of motorists. On the other hand, IoT is a promising platform for providing unusual applications for helping people and provide them a better way to manage their day’s lives.This work proposes a solution for a green intelligent parking system based on IoT. This solution is supported by proposing the game theory mathematical model. Game theory is used to model a reservation system of the proposed car parking solution. This work tackles the main problems facing car drivers to find available car parking spaces. These problems include: the parking fees, how far the car park from the car drivers destinations and hence the amount of walking, and the parking duration. Moreover, the proposed solution encourages companies and householders to offer their own parking stalls and/or driveways for renting in the unused times. From one hand, this will help on providing more parking lots specially in the dense traffic areas. On the other hand, the owners will get a revenue of their unused assets. Therefore, this work proposes a solution to parking problems by providing affordable parking lots based on the choice of the car driver that is relatively close to the destination. As a result of that, there will not be wasting of time or energy, frustration and panic will be reduced, fewer traffic jams, and consequently a green environment and a better quality of life.