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Artificial Intelligence In Transportation by Eric Yeboah - mitsumi - 12-15-2024 Artificial Intelligence In Transportation by Eric Yeboah Published 12/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 561.84 MB | Duration: 0h 51m How artificial intelligence in transportation can improve your everyday lives, Use cases of AI in transportation etc. What you'll learn How artificial intelligence in transportation can improve your everyday lives Top use case of artificial intelligence in transportation Implementation of artificial intelligence in transportation Benefits of artificial intelligence in transportation industry Real -world cases of artificial intelligence in logistics and transportation industry Challenges and tips for adopting artificial intelligence in transportation Requirements Desire to learn more about artificial intelligence in transportation No special requirement Description Artificial intelligence brings a host of advantages revolutionizing the industry and enhancing various aspects of the transportation ecosystem. Artificial intelligence, in tandem with other emerging technologies like internet of things, machine learning, cloud computing, big data analytics, and 5G, opens up a world of opportunities and new horizons for interconnectivity between vehicles paving the way for more efficient, advance, and safer transportation systems. The transportation industry is a sophisticated system with many external influencing factors, such as human errors and reactions, accidents, economic situations, and even time of year or day. Artificial intelligence uses all these data points to forecast the probability of different situations, thus, providing conditions for educated decisions. No wonder, international association of public transport reports that 86% of public transportation players are engaged in partnerships to develop and adapt artificial intelligence technology projects. Smart driver assistants such as self-parking, lane recognition, and adaptive cruise control have become commonplace for many new cars. Some of them, such as Hyundai's advanced cruise control, have been implemented widely. However, they do not do the drivers job completely. Although autonomous vehicle are already full self-driving is hard to implement and requires a lot of work. any confusion within real-time data transmission and processing in the vehicles can cause a fatal outcome. Hence, the projects are still not fully ready to run on every road. Overview Section 1: Introduction Lecture 1 Introduction Lecture 2 Artificial intelligence in transportation Lecture 3 Benefits of artificial intelligence in transportation Section 2: How Artificial Intelligence In Transportation Can Improve Your Everyday Lives Lecture 4 Self-driving vehicles Lecture 5 Pedestrian detection Lecture 6 Traffic light management Lecture 7 Travel time predictions Lecture 8 Road condition monitoring Lecture 9 Parking management Lecture 10 Traffic incident detection Lecture 11 Automated license plate recognition Lecture 12 Driver monitoring Section 3: Use Cases Of Artificial Intelligence In Transportation Lecture 13 Traffic management Lecture 14 Increasing ETA accuracy with artificial intelligence Lecture 15 Route optimization Lecture 16 Inventory management with artificial intelligence Lecture 17 Drone taxis Section 4: Real-World Cases Of Artificial Intelligence In Transportation And Logistics Lecture 18 Tesla Lecture 19 Amazon Lecture 20 Hitachi Lecture 21 FedEx Section 5: Challenges And Tips For Adopting AI In Transportation Lecture 22 Integration Lecture 23 Connectivity Lecture 24 Data analysis Section 6: Conclusion Lecture 25 Implementation of AI in transportation Transport companies, transport workers, consultants, governments, CEO, directors, managers, students, everybody etc. Screenshots Download link Say "Thank You" rapidgator.net: ddownload.com: |