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Recently, people keep talking about AI applications like ChatGPT and think that they are transforming our lives. In fact, AI technology has been implemented quietly into transport systems and is influencing the ways that we move around without our notice. With the support of real-time data, these AI applications are making impacts in different aspects, from improving traffic congestion to achieving carbon emission goals. Â
As you will learn on this course, artificial intelligence has a growing role to play in the ways that we move around the world.  You will discover what artificial intelligence is and how exactly it is applied in urban mobility through interesting and real examples. Â
Learning objectives:Â
- Learn how artificial intelligence and the different types of machine learning work.
- Understand how AI can be successfully applied in the different fields of urban mobility: from operational efficiency and safety to customer service
- Reflect through case studies and small exercises on the benefits AI can provide to the transportation system
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Instructors
Alok Jain
Alok is the CEO & Managing Director of Trans-consult, a management consulting firm, specializing in sustainability urban mobility operation and management, and applications of cutting-edge technologies in urban mobility. He has more than 30 years of experience in the industry and is a member of the Council for Decarbonizing Transport in Asia. He is an international expert trainer who held more than 100 training sessions for executives in large enterprises and government authorities around the globe.
About the Course
Free & Paid Options
You can access and participate in the course for free. If you want to earn a certificate upon completion, you can purchase it. The certificate will be accessible only once the course is successfully completed. Read more here.
What Urban Professionals Have to Say
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Ratings and Reviews
Madhumitha Kodimyala
The course highlighted how AI technologies optimize urban mobility by improving operational efficiency, safety, and customer service with examples. It discussed various challenges but did not explore in detail the ethical risks of data misuse and lacked local-level AI applications and their measurable outcomes in urban mobility planning which i think is very important.
This course gives a general way of what is needed to see a potential problem. Cities will never be the same. They expand, are rebuild. Offices are going out the centre of cities and centers are rebuild for living. This course show the development of solutions for present and potential traffic problems and how to solve.