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Using big data to ensure successful automated freight vehicle deployment

To determine the best roads for autonomous truck deployment, INRIX Research used three key variables: freight volume, congestion levels and incidents rates.

Insights from the AV Freight Study include:

  • Our research shows HAV technology holds significant potential to decrease truck-related incidents.
  • The United States exhibits strong potential for HAV deployment due to increasing freight demand coupled with a shrinking labor pool
  • Although the U.K. has high levels of uncertainty in terms of Brexit, labor, regulatory and environmental considerations, the economic rationale for HAV deployment is strong.
  • Due to exceptionally high levels of incidents, Germany could see greater returns on HAV adoption when compared to the U.S. and U.K.

Avery Ash, Head of Autonomous Mobility at INRIX, discusses the findings of the study further, which you can read in his blog.

Authors

Avery Ash, Head of Autonomous Mobility
Trevor Reed, Transportation Analyst
Ben Weiser, GIS Analyst
Joshua Kidd, Data Analyst

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About INRIX Research

INRIX Research uses proprietary big data and expertise to make the movement of people and goods more efficient, safe and convenient.

We achieve this by leveraging 500 Terabytes of INRIX data from 300 million different sources covering over 5 million miles of road, and combining it with our other data sources including global parking, fuel, point of interest, public transport, and road weather information. Together, our data provides a rich and fertile picture of urban mobility that enables us to produce valuable and actionable insights for policy makers, transport professionals, automakers and drivers.

The INRIX Research team has researchers in Europe and North America and is comprised of economists, transportation policy specialists and data scientists, with a mix of research backgrounds from academia, think tanks and commercial research and development groups.

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