{"id":8521,"date":"2019-04-09T12:25:10","date_gmt":"2019-04-09T12:25:10","guid":{"rendered":"https:\/\/www.edriving.com\/three60\/?p=8521"},"modified":"2019-04-09T12:25:11","modified_gmt":"2019-04-09T12:25:11","slug":"fico-safe-driving-score-predicts-likelihood-of-future-collisions","status":"publish","type":"post","link":"https:\/\/www.edriving.com\/three60\/fico-safe-driving-score-predicts-likelihood-of-future-collisions\/","title":{"rendered":"FICO Safe Driving Score predicts likelihood of future collisions"},"content":{"rendered":"\n

This\nblog was originally published on the FICO<\/a>\nwebsite. <\/em><\/p>\n\n\n\n

Despite advancements in safety technology,\nroad fatalities are on the rise. Per the National Highway Traffic Safety\nAdministration, human error accounts for 94% of crashes. FICO, along with\nglobal risk management leader, eDriving, firmly believes that proper education\nand reinforcement of safe driving behaviors can help make roads safer and\npotentially save lives, including for fleet drivers of all types of vehicles,\ndriving for varied work purposes in all types of conditions, and others.<\/p>\n\n\n\n

Pertinent data and prudent application of\npredictive analytics can provide insights into helping identify and reinforce\nsafe driving behaviors.<\/p>\n\n\n\n

FICO launched the FICO\u00ae Safe Driving Score in partnership with eDriving\u2019s smartphone application, MentorSM in October 2016.\u00a0Since then, the underlying model and application have both been fine tuned to the specific needs and requirements of Fleet Safety Management programs and adopted by global industry leaders with fleets of tens of thousands of drivers in service, delivery, and sales sectors.<\/p>\n\n\n\n

The FICO\u00ae Safe Driving Score leverages\ntelematics-based driving data provided by Mentor to predict the likelihood of\nfuture driving incidents by evaluating driving behaviors, such as acceleration,\nbraking, cornering, speeding and cellphone distraction. Designed to be at the\nheart of the Mentor smartphone application, the FICO\u00ae Safe Driving Score\nprovides a driver\u2019s risk score after each valid trip and over time. The higher\nthe score, the more likely a driver is to display safe driving behaviors and to\navoid collisions in the future.<\/p>\n\n\n\n

Providing a consistent and objective\nmeasure of driver risk and safety based on driving behaviors, the FICO\u00ae Safe\nDriving Score is poised to become the industry standard for predicting driver\nrisk.The FICO\u00ae Safe Driving Score offers a significant level of transparency\nand insight which is shared with drivers who use Mentor on an opt-in basis,\nwherein location data is shared only with the driver. This provides drivers\nwith actionable insights into what specific driving behaviors they need to\ndemonstrate to improve their scores or to maintain current high-level scores.<\/p>\n\n\n\n

Our most recent analytic effort validated\nthe ability of the FICO\u00ae Safe Driving Score to predict drivers\u2019 propensity to\nbe in a collision using data from an independent sample of drivers. In this\neffort, we leveraged naturalistic driving data from a third-party research\nstudy, the 2ndStrategic Highway Research Program  (SHRP2), spanning three\nyears, 3,000 drivers and over 30 million miles driven (Dataset 10.15787\/VTT1\/IEKRD3<\/a>).*<\/p>\n\n\n\n

We designed the FICO\u00ae Safe Driving Score to\nzoom in on these key dynamics between various driving behaviors and their\nrelation to subsequent collisions. Most importantly, in the preponderance of\ncases we examined, we have been able to demonstrate that drivers identified by\nthe FICO\u00ae Safe Driving Score as being higher risk for having future collisions\nare, indeed, more likely to incur a collision in the future than those identified\nas lower risk.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

<\/a>As this chart illustrates, the lowest\nscoring 20% of drivers are up to 30% more likely to have a collision in the\nfuture than the highest scoring 20% of drivers.<\/p>\n\n\n\n

Furthermore, our analysis has concretely\nverified the assumption that unsafe driving behaviors, such as hard braking\nevents, are correlated with higher risk of future collisions.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

<\/a>As\nthe above chart demonstrates, trips with three or more hard braking events are\nmore than 2.5 times more likely to result in a collision than those with no\nsuch events.<\/p>\n\n\n\n

Our analysis to date has offered very solid\nevidence of the efficacy of the FICO\u00ae Safe Driving Score in predicting future\ncollisions. And, yet, there is an opportunity to continue to build on this\nstrong foundation. Predicting future collisions based on telematics-based\ndriving data alone is challenging \u2013 the data can be noisy even within a\nsomewhat \u201ccontrolled\u201d environment; the behaviors can vary based on extraneous\nevents such as weather, traffic flow, or even mood of the driver; and\nconnecting the telematics-based driving data to the outcome (collisions,\nlosses, etc.) can be expensive and takes time. In spite of these challenges,\nthe analysis of the SHRP2 data has provided significant insights that we will\nleverage to continue to improve the FICO\u00ae Safe Driving Score modeling, giving\nFleet Safety Managers even more powerful tools to help their employees return\nhome safe to their families every night.<\/p>\n\n\n\n

*The findings and conclusions of this paper are those of the author(s) and do not necessarily represent the views of VTTI, the Transportation Research Board, or the National Academies.<\/p>\n\n\n\n

Authors: Scott Zoldi, Bruce Curry and Ethan Dornhelm.<\/p>\n","protected":false},"excerpt":{"rendered":"

This blog was originally published on the FICO website. Despite advancements in safety technology, road fatalities are on the rise. Per the National Highway Traffic Safety Administration, human error accounts for 94% of crashes. FICO, along with global risk management leader, eDriving, firmly believes that proper education and reinforcement of safe driving behaviors can help […]<\/p>\n","protected":false},"author":18,"featured_media":8524,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1520],"tags":[],"class_list":["post-8521","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-risk-management"],"_links":{"self":[{"href":"https:\/\/www.edriving.com\/three60\/wp-json\/wp\/v2\/posts\/8521","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.edriving.com\/three60\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.edriving.com\/three60\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.edriving.com\/three60\/wp-json\/wp\/v2\/users\/18"}],"replies":[{"embeddable":true,"href":"https:\/\/www.edriving.com\/three60\/wp-json\/wp\/v2\/comments?post=8521"}],"version-history":[{"count":0,"href":"https:\/\/www.edriving.com\/three60\/wp-json\/wp\/v2\/posts\/8521\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.edriving.com\/three60\/wp-json\/wp\/v2\/media\/8524"}],"wp:attachment":[{"href":"https:\/\/www.edriving.com\/three60\/wp-json\/wp\/v2\/media?parent=8521"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.edriving.com\/three60\/wp-json\/wp\/v2\/categories?post=8521"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.edriving.com\/three60\/wp-json\/wp\/v2\/tags?post=8521"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}