Big Data Analytics for Connected, Autonomous Vehicles and Smart Cities

There is a growing interest in the concept of a smart city and how these advanced technologies will improve the quality of living and make a city more attractive to visitors, commerce and industry. This course fills an unmet need for defining and explaining the relationship between connected and autonomous vehicles (CAVs) and smart city transportation. It is apparent that CAVs will achieve the best results when integrated with current and emerging urban infrastructure for transportation.

This course addresses such integration from technology, organizational, policy and business model perspectives. It seeks to explain to connected and autonomous vehicle designers, manufacturers, and associated OEMs, how CAVs will play a central role in the future urban transportation system. This will take account of the needs of infrastructure planners and operators, aligning these with CAV capabilities.

Participants will learn how CAV technology will revolutionize urban transportation. They will gain a detailed understanding of the role for smart vehicles within a smart city and an overall perspective on the needs, issues, problems and objectives being addressed by the development of advanced transportation elements. Participants will be able to create more effective designs and define smart mobility services that fit within the overall context of urban infrastructures.

The course will address three common challenges associated with the application of CAV technology in smart cities.  These are: the use of big data and analytics techniques, establishing and maintaining suitable public-private partnerships, and aligning policy objectives with technology capabilities.