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5. Limit working hours to 12 hours per day to maintain work-life balance.
## Flowchart:
1. Start
2. Input: Driver's availability.
3. Analyze demand trends in different areas.
4. Suggest optimal shift hours.
5. Notify driver of high-demand areas.
6. Track driver’s working hours.
7. Maximize earnings within 12 hours.
8. End.
## Summary:
This system helps Ola drivers optimize their earnings by focusing on peak hours and high-demand areas, while limiting their work hours to 12 per day to ensure efficiency and work-life balance.
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# 10. Shortest Path and Traffic Optimization to Bangalore Airport
## Problem Statement:
Traffic congestion in Bangalore is a well-known issue, and traveling to the airport can take much longer than anticipated. A navigation system that provides the shortest and least congested route in real-time would help reduce travel time and frustration for commuters heading to the airport.
## Solution:
1. Implement a real-time traffic monitoring system using GPS and road sensor data.
2. Analyze traffic patterns to predict congestion on various routes.
3. Use AI algorithms to suggest alternate routes based on current traffic conditions.
4. Provide real-time notifications of traffic changes or delays.
5. Offer continuous updates through a mobile app for route optimization.
## Flowchart:
1. Start
2. Input: Source and destination (Bangalore city to airport).
3. Analyze current traffic conditions on multiple routes.
4. Suggest shortest and least congested path.
5. Notify user of real-time traffic changes.
6. Optimize route continuously during travel.
7. End.
## Summary:
This system uses real-time traffic data and predictive algorithms to provide users with the shortest and least congested route to Bangalore airport, significantly reducing travel time and enhancing the commuting experience.
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These are the detailed breakdowns for the first 10 topics in the System Design Round format for interviews, with comprehensive problem statements, flowcharts, and summaries.