LEARNING OBJECTIVES By attending this seminar, you will be able to: • Define the essential elements of smart cities from a transportation perspective • Describe smart city transportation services • Explore how multi-modal systems will shape future cities • Define the role of CAVs in a smart city • Explain the optimum operation of CAVs interact with urban infrastructure • Recognize the value of big data and analytics in urban transportation data transportation • Describe a list of smart city transportation applications that are enabled by interaction between the vehicle and infrastructure • Explain the overall benefits and costs of smart city transportation services • Distinguish the policy objectives and challenges associated with CAVs within a smart city • Associate possible CAV partnership arrangements with a smart city managers, smart mobility services developers, CAVs service providers, associated software development engineers and OEM system developers and automotive manufacturers. CONTENT HIGHLIGHTS DAY ONE • Introduction to the course and content overview • What is a smart city? • Connected and autonomous vehicles • The role of connected and autonomous vehicles within a smart city • What is Big data? • Analytics • Transportation analytics DAY TWO • Transportation applications within a smart city • Smart data management for smart cities • Policy questions that can be addressed • Business model and organizational arrangements • Public-private partnerships • Course summary and discussion WHO SHOULD ATTEND The course is designed for CAV technology designers and developers, vehicle product
I.D.# C1912
SCHEDULE June 20-21, 2019 Troy, Michigan
FEES List:
$1,415 $1,274
Members:
TWO-DAYS/1.3 CEUS
Get the complete course description and register: sae.org/learn/content/c1912
INSTRUCTOR Robert McQueen Subject Matter Expert
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3 ways to get a no-obligation price quote to deliver a course to your company Call SAE Corporate Learning at +1.724.772.8529 | Fill out the online quote request at sae.org/corplearning Email us at Corplearn@sae.org
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