At present, drivers face considerable challenges in finding parking spots due to traffic congestion in certain areas and the distribution of parking spaces across the city. The initiative aims to develop a cutting-edge system that allows vehicles to navigate to their current location while finding available parking in a designated area. Additionally, it suggests implementing energy-efficient strategies to mitigate environmental impact and reduce operational costs. In terms of emergency response, a concept is introduced that involves placing sensors in vehicles within a 200-meter radius. This would allow ambulances to quickly find unoccupied parking spaces, minimizing the number of pedestrians in busy areas and lowering fuel consumption, which ultimately saves both time and lives. By focusing on security, energy efficiency, and innovative approaches, Smart Parking solutions can significantly enhance the sustainability and functionality of urban settings. To achieve the objective of optimizing energy efficiency, the Amplified-ACO (A^2 CO) routing algorithm, based on Ant Colony Optimization (ACO) principles and utilizing the probabilistic selection model DS^2, which is determined by Distance, Speed, and State-of-Charge, is used to ensure the highest energy efficiency attainable.