Finding Optimal Paths in AITS slide.pptx

this is a AI ppt

1. 10212CS21 - 1 Artificial Intelligence Techniques School of Computing Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Faculty Name: Dr. J T M Dhas

2. Finding Optimal Paths Dr. J T M Dhas, Dept. of Computer Science & Engineering 2 13-08-2024

3. Dr. J T M Dhas, Dept. of Computer Science & Engineering 3 13-08-2024

4. 13-08-2024 Dr. J T M Dhas, Dept. of Computer Science & Engineering 4

5. 13-08-2024 Dr. J T M Dhas, Dept. of Computer Science & Engineering 5

6. 13-08-2024 Dr. J T M Dhas, Dept. of Computer Science & Engineering 6

7. 13-08-2024 Dr. J T M Dhas, Dept. of Computer Science & Engineering 7

8. 13-08-2024 Dr. J T M Dhas, Dept. of Computer Science & Engineering 8

9. 13-08-2024 Dr. J T M Dhas, Dept. of Computer Science & Engineering 9

10. 13-08-2024 Dr. J T M Dhas, Dept. of Computer Science & Engineering 10

11. 13-08-2024 Dr. J T M Dhas, Dept. of Computer Science & Engineering 11

12. 13-08-2024 Dr. J T M Dhas, Dept. of Computer Science & Engineering 12

13. 13-08-2024 Dr. J T M Dhas, Dept. of Computer Science & Engineering 13

14. 13-08-2024 Dr. J T M Dhas, Dept. of Computer Science & Engineering 14

15. 13-08-2024 Dr. J T M Dhas, Dept. of Computer Science & Engineering 15

16. 13-08-2024 Dr. J T M Dhas, Dept. of Computer Science & Engineering 16

17. Upper Confidence Bound 13-08-2024 Dr. J T M Dhas, Dept. of Computer Science & Engineering 17

18. 13-08-2024 Dr. J T M Dhas, Dept. of Computer Science & Engineering 18

19. 13-08-2024 Dr. J T M Dhas, Dept. of Computer Science & Engineering 19

20. Vehicle Routing and Map Navigation AI in Vehicle Routing 1. Optimization of Routes Machine Learning (ML) for Prediction Traffic Prediction Demand Forecasting Reinforcement Learning (RL) Adaptive Routing Genetic Algorithms (GA) Route Optimization 13-08-2024 Dr. J T M Dhas, Dept. of Computer Science & Engineering 20

21. Vehicle Routing and Map Navigation 2. Autonomous Vehicle Routing Self-Driving Cars Swarm Intelligence 3. Dynamic and Real-Time Routing AI-Based Real-Time Routing Personalized Routing AI-Driven Route Planning 13-08-2024 Dr. J T M Dhas, Dept. of Computer Science & Engineering 21

22. AI in Map Navigation Enhanced User Experience Augmented Reality (AR) Navigation Context-Aware Navigation Predictive and Proactive Navigation AI in Crowd-Sourced Navigation 13-08-2024 Dr. J T M Dhas, Dept. of Computer Science & Engineering 22

23. AI Technologies in Use 1. Deep Learning: Used in computer vision for object detection in autonomous vehicles and in NLP for understanding user commands. 2. Neural Networks: Applied for pattern recognition, such as predicting traffic flows or optimizing delivery routes. 3. Reinforcement Learning: Helps in adaptive decision-making, particularly in dynamic routing scenarios. 4. Big Data Analytics: AI processes and analyzes large datasets (e.g., traffic data, historical routes, weather conditions) to derive insights for better routing and navigation. 5. IoT and Connected Devices: AI leverages data from IoT devices (e.g., vehicle sensors, traffic cameras) to make real-time routing decisions. 13-08-2024 Dr. J T M Dhas, Dept. of Computer Science & Engineering 23

24. Challenges and Considerations 1. Data Privacy and Security: AI systems handling navigation data must protect user privacy and secure sensitive information. 2. Real-Time Processing: Ensuring AI systems can process and react to real-time data with minimal latency is crucial for effective navigation. 3. Ethical Considerations: AI decision-making in critical situations (e.g., accident avoidance in autonomous vehicles) raises ethical questions about responsibility and safety. 4. Integration with Legacy Systems: AI must often work alongside existing systems, requiring seamless integration to avoid disruptions. 13-08-2024 Dr. J T M Dhas, Dept. of Computer Science & Engineering 24