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:
Avery Ash, Head of Autonomous Mobility at INRIX, discusses the findings of the study further, which you can read in his blog.
Avery Ash, Head of Autonomous Mobility
Trevor Reed, Transportation Analyst
Ben Weiser, GIS Analyst
Joshua Kidd, Data Analyst
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.
INRIX Global Traffic Scorecard – see the analysis and ranking of congestion on five continents, in 38 countries and across 1,064 cities.
Connected & Autonomous Vehicle Consumer Survey - consumers trust carmakers more than tech giants