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Chris Hendrickson cth@cmu.edu Technologies for Safe and Efficient Transportation National University Transportation Center Chris Hendrickson cth@cmu.edu.

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Presentation on theme: "Chris Hendrickson cth@cmu.edu Technologies for Safe and Efficient Transportation National University Transportation Center Chris Hendrickson cth@cmu.edu."— Presentation transcript:

1 Chris Hendrickson cth@cmu.edu
Technologies for Safe and Efficient Transportation National University Transportation Center Chris Hendrickson

2 T-SET Administration Carnegie Mellon University Partnered with University of Pennsylvania T-SET managed jointly with Traffic21 Institute, Mobility21 UTC and Metro21 Institute. Emphasis on multi-disciplinary research, agency and corporate partnerships and technology deployments.

3 Thrust Areas Vehicle automation technologies
In-vehicle technologies and human-computer interaction Connected vehicle technologies Mobility data analytics Infrastructure based technologies Pedestrian safety technologies Transportation policy

4

5 Bringing greater intelligence to vehicles
2007 2012

6 Cost-Benefit Analysis of Early Automation Features
Observed insurance data from the Insurance Institute for Highway Safety (IIHS). 2012 FARS and GES used to estimate related fatal and non-fatal crashes, respectively. Co-authors: Corey Harper and Costa Samaras

7 Injury Crashes Addressed by Each Technology
Here are the results of the analysis. The pie chart shows the upper bound percentage of crashes related to each technology. Out of the three technologies forward collision warning could prevent the most crashes while the most injury and fatal crashes are related to lane departure warning.

8 Three Existing Level 1 Technologies Will Dramatically Improve Safety
Technology All Crashes Injury Crashes Fatal Crashes Blind Spot Monitoring 267,000 17,000 280 Lane Departure Warning 262,000 58,100 9,000 Forward Collision Warning 795,000 58,000 750 Total 1,320,000 133,100 10,100 Percent of Total Crashes 23.5% 8.2% 32.6% Source: Harper et al. 2016

9 Lower Bound Observed Net-Benefit About $4B
Here is the lower bound net-benefit which assumes that every related crash not prevented is made less severe. Households are the only entity that accrues any cost from purchasing the technology. While all other entities are assumed to gain a benefit from deployment. Third-parties are entities such as uninvolved motorists or health care providers. QALYs are the benefits that arise from people living healthier lives from avoided or less severe crashes. The lower bound net-benefit is about $4 billion.

10 Upper Bound Potential Net-Benefit is About $200B
The is the upper bound net-benefit which assumes that all related crashes are prevented. The upper bound net-benefit is about $214 billion. 10


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