Description:

Current State Overview and Summary

Green City is a rapidly growing urban center known for its commitment to sustainability and technological innovation. The city has a population of approximately 500,000 residents, with a bustling downtown area that features numerous commercial establishments, offices, and residential buildings. Due to the city's growth, traffic congestion and parking shortages have become significant challenges.

The Green City Municipality currently manages 10 public parking garages in the downtown area, with each garage accommodating around 200 vehicles. During peak hours, particularly between 9:00 AM and 6:00 PM, finding a parking spot becomes extremely difficult. Drivers often spend 20-30 minutes searching for available parking, contributing to traffic congestion and increased carbon emissions.

The municipality receives numerous complaints from residents and visitors regarding the lack of available parking and the time wasted in search of parking spots. Additionally, the inefficient use of parking spaces leads to revenue loss for the municipality.

To address these issues, the municipality has decided to implement a Smart Parking System that will enable drivers to find and reserve parking spots in real-time via a mobile app or web interface.

Advantages of the Smart Parking System:

• Reduced Congestion: Drivers will spend less time searching for parking, reducing overall traffic congestion.

• Increased Revenue: Efficient use of parking spaces will lead to increased revenue for the municipality.

• Enhanced User Experience: Residents and visitors will have a more convenient and stress-free parking experience.

• Environmental Benefits: Reduced vehicle idling time will decrease carbon emissions, contributing to the city's sustainability goals.

The Green City Municipality has contracted Business Analysts to capture the requirements for the Smart Parking System.

Environments

The Smart Parking System will be developed and maintained in Python due to its flexibility, ease of integration with various technologies, and strong support for data processing and machine learning, which are critical for predictive analytics.

Business Objectives and Success Criteria

Business Objective 1: Reduce the average time spent searching for parking by 50% within 3 months following the first release.

• Scale: Average time spent searching for parking, measured via app analytics.

• Previous: 20-30 minutes.

• Target: Less than 10-15 minutes.

Business Objective 2: Increase parking revenue by 20% within 6 months following the initial release.

Business Objective 3: Improve user satisfaction with the parking experience by 30% within 3 months.

Business Objective 4: Reduce traffic congestion and carbon emissions in the downtown area by 15% within 6 months.

Future State

The client has specified the following requirements:

• User Access: Drivers should access the Smart Parking System via a mobile app or web interface, displaying real-time parking availability and prices.

• Reservation System: Users should be able to reserve parking spots in advance. The system should allow for reservations up to 24 hours in advance.

• Navigation: The app should provide turn-by-turn navigation to the reserved parking spot.

• Payment: The system should support multiple payment options, including credit/debit cards, mobile payments, and digital wallets.

• Occupancy Sensors: Each parking spot should be equipped with sensors to detect occupancy and update availability in real-time.

• Admin Dashboard: The municipality staff should have access to an admin dashboard to manage parking inventory, monitor usage, and generate reports.

• User Feedback: Users should be able to submit feedback on their parking experience.

• Reporting: The system should generate reports on parking usage, revenue, user satisfaction, and environmental impact.

System Requirements

Scalability and Performance: The system must support up to 10,000 users simultaneously, with fast-rendering, lightweight mobile and web interfaces.

Usability: The interfaces should be intuitive and user-friendly to encourage widespread adoption among drivers.