Carnegie Mellon research shows benefits of partially automated technologies


Researchers at one of the USA’s leading universities have concluded that the public could derive economic and social benefits today if safety-oriented, partially automated vehicle technologies were deployed in all cars.

The researchers from Carnegie Mellon University’s (CMU) College of Engineering examined forward collision warning, lane departure warning, and blind spot monitoring systems, technologies that can include partially autonomous braking or controls to help vehicles avoid crashes.

The researchers, professors Chris T Hendrickson, director of CMU’s Traffic21 Institute, and Constantine Samaras, of the Civil and Environmental Engineering department, together with Corey Harper, a PhD student at the Pittsburgh, Pennsylvania university, analyzed the benefits and costs of deploying crash-avoidance technologies in the USA’s light-duty vehicle fleet. These technologies are relevant in 24% of all crashes, and collectively could prevent or reduce the severity of up 1.3 million crashes a year, including 10,100 fatal collisions. The study was funded by CMU’s Technologies for Safe and Efficient Transportation (T-SET) Transportation Center, the National Science Foundation (NSF), and the Hillman Foundation.

To learn if it is economically advantageous to speed up deployment of these technologies, the researchers analyzed government and insurance industry data and created two estimates of benefits. To determine the annual costs of crashes, in one scenario, the researchers assumed all relevant crashes were avoided, while in the second scenario they evaluated the impact of the three safety technologies on the quantity and severity of wrecks. Then, taking into account the prices auto manufacturers charged for these technologies in 2015, the researchers deduced how much it would cost to equip each car with the safety features and annualized that amount over the lifetime of the vehicle.

When the team compared the price of equipping cars with safety technology to the expected annual reduction in the costs of crashes, they discovered a net benefit in both scenarios. In the perfect-world scenario in which all relevant crashes are avoided with these technologies, there is an annual benefit of US$202bn or US$861 per car. On the more conservative side, when only observed crash reductions in vehicles equipped with blind spot monitoring, lane departure and forward collision crash avoidance systems are considered, there is still an annual positive net benefit of US$4bn or US$20 a vehicle. Although US$20 per vehicle is small, the researchers believe that future improvements in technology and lower prices could lead to larger net benefits over time.

“While there is much discussion about driverless vehicles, we have demonstrated that even with partial automation there are financial and safety benefits,” said Hendrickson. “If you bought a car right now with these safety systems, at the current prices offered by auto manufacturers, both you and society would have a positive economic benefit. We are seeing that partial automation is accomplishing crash and crash severity reductions, and we expect that to improve. This study creates a framework for regulatory action encouraging early deployment of partial automation technologies.”

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Tom has edited Traffic Technology International (TTi) magazine and its Traffic Technology Today website since May 2014. During his time at the title, he has interviewed some of the top transportation chiefs at public agencies around the world as well as CEOs of leading multinationals and ground-breaking start-ups. Tom's earlier career saw him working on some the UK's leading consumer magazine titles. He has a law degree from the London School of Economics (LSE).