<p>1. Introduction<br> 1.1 Background<br> 1.2 Research Objectives<br>2. Literature Review<br> 2.1 Traffic Congestion and Parking Issues<br> 2.2 Smart Parking Systems<br>3. Methodology<br> 3.1 System Design and Architecture<br> 3.2 Sensor Deployment and Data Collection<br> 3.3 Mobile Application Development<br> 3.4 Field Testing and Evaluation<br>4. Results<br> 4.1 System Performance and Accuracy<br> 4.2 User Feedback and Satisfaction<br>5. Discussion<br> 5.1 Analysis of Results<br> 5.2 Comparison with Existing Systems<br> 5.3 Limitations and Future Enhancements<br></p>
This project aims to design a smart parking system that can effectively reduce traffic congestion in urban areas. With the increasing number of vehicles on the road, finding parking spaces has become a major challenge, leading to traffic congestion and increased pollution. The proposed system will utilize advanced technologies such as sensors, data analytics, and mobile applications to provide real-time information about available parking spaces to drivers. By guiding drivers to vacant parking spots efficiently, the system aims to reduce the time spent searching for parking, minimize traffic congestion, and improve overall traffic flow. The project will involve designing and implementing the smart parking system, conducting field tests, and evaluating its effectiveness in reducing traffic congestion.
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