Chasing the Unicorn Metric in Integrated Vehicle Health Management

I have previously written on the inevitable changes to autonomous fleet management workflows, particularly as it relates to maintenance and repair. This note expands the...

Industry Reference Architecture for Transportation

Leading organizations require a unified and validated view of business capabilities that aligns initiatives, investments, and strategy in order to compete in their industry.

Automation of Skillsets in Transportation – Conceptual Framework

Automation is expected to impact the trucking industry in a number of ways, not least of which is the effect it will have on truck drivers and operators. However, the...

Cyber Physical Systems: The Low Hanging Fruit Between Cybersecurity and Artificial Intelligence

Understand the high potential of using artificial intelligence to defend critical infrastructure, smart grid technology, autonomous vehicles, and other cyber physical...

Scooting Into the Future – A Discussion of Alternative Transportation Methods

Electric bicycles and scooters are clean, affordable, and efficient last mile solutions for urban transportation. Despite this, they are unpopular and poorly regulated....

Drone Operations: Leveraging Fleet Management Tools and Principles

Drones will soon approach critical mass adoption with increasing business use cases, market participation from major OEMs, and available support skillsets. Yet,...

mLearning – Learning on the Go

mLearning is an effective learning and development solution for the many ‘deskless’ and dispersed workers in the transportation industry. mLearning delivers content in...

GDPR Implications for the Passenger Transportation Industry

The General Data Protection Regulation (GDPR) will go into effect on May 25, 2018. Understand the potential implications for transportation and take proactive good-faith...

Autonomous Motor Vehicles Are Inevitable

Full automation of motor vehicles is going to happen but not without future development in vehicular artificial intelligence and the hard-to-win trust of the human operators.

Emotion AI Critical to the Future of Autonomous Vehicles

Emotion AI adds the quintessential human nature of empathy and motive into the algorithm, creating a more holistic and balanced AI approach to automating motor vehicles.
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