"DRIVING BEHAVIOR” Intelligence Saves Lives
Updated: 5 days ago
Motion Enabled Driver Scoring “Behavior Analytics”
As a first-time father, when I read the statistics that drowning is one of the leading causes of death for children under 12, I promptly decided to take our 3 ½ year old daughter for swimming lessons.
I want her to have the skills and knowledge about how to swim and behave around water. It’s something she needs to practice, be monitored & provided feedback to improve. Makes sense, right?
So, when I recently also discovered the Department of Transportation (DOT) Federal Motor Carrier Safety Administration (FMCSA) stats that…
1) Automobiles account for the largest number of accidental deaths for people under the age of 34.
2) Large trucks & buses involved in injury crashes increased 2013 to 2014 by 21 percent, from 73,000 to 88,000, of which 3,744 were involved in fatal crashes.
And furthermore, that many of these accidents were preventable crashes resulting from unsafe driver behavior-- handling and focus behaviors corresponding to acceleration or speeding, swerving or jerking, hard braking or fast turning, and distracted driving.
… I thought, we need to do something about this!
Self-parking / Self-driving Smart Vehicles Sound Great. Contextual Driver Behavior Feedback That Can Save Lives Now… Sounds Even Better.
With the growth of the Internet-of-Things (IoT), big data, algorithmic science, machine learning, many companies are actively working on autonomous vehicles (self-driving cars and trucks) as well as assisted driving technologies.
This is fantastic and exciting. Experts are saying that we will see these autonomous vehicles regularly on the roads in the next two decades.
But in the interim, there must be a simple-to-adopt solution moving beyond the vehicle itself, to assist and support mastering driving related decision processes for the driver (human factor).
We need feedback tools that go beyond the basic “drivers ed” classes teens take or “commercial classroom and road training” drivers take to handle commercial and fleet vehicles, that’s fundamentally transitory.
Just like my daughter learning to swim better, we need something to monitor and provided feedback to improve driving skills, knowledge and behavior.
We need to act swiftly to save more lives- the facts are incontrovertible:
· There are over 5 million vehicle accidents per year in the U.S. alone.
· 2015 the U.S. lost 35,092 people in crashes, an increase from 32,744 in 2014.
· The 7.2% increase is the largest percentage increase in nearly 50 years.
· #1 cause of death 15-24-year-old, driving accidents.
· #2 cause of death 25-34-year-old, driving accidents.
Extrapolate that, it’s evident driving safely is a world-wide problem.
Why do we put up with this? Driving accidents don’t have to be the norm.
People are getting hurt and losing valuable time.
People are also dying; no one wants to die.
Come on, we can do better!
We now have technology, literally in our hands, to support changing behavior to produce different outcomes.
Do you think you are an excellent driver? Maybe, maybe not.
Honestly, it depends on location, context, distractions and driving behavior.
That’s a huge part of the solution, behavior change.
Behavior change refers to transformation or modification of human behavior.
How can someone modify or acclimate driving behavior?
What is “excellent” driving? And what “needs improvement”?
Specifically, if you don’t know what you need to focus on adapting, expressly within your population of other drivers for your regional location/context (weather, topography, etc.) because you have no benchmark or indication, then where do you begin?
Transportation is part of almost every aspect of life – yet we monitor and analyze less than 1% of all drives today. This is due to the lack of solutions that integrate well into our daily lives and work on the mass scale.
Fortunately, several very intelligent data scientists and engineers have been coding for the past three years creating a behavior data processing and analytics platform that builds on advanced techniques from artificial intelligence, signal processing, biometrics, and machine learning to overcome this problem by developing a “contextual driving score” (a simple, easy to use feedback tool).
We now can make roads safer, commutes less stressful, and transportation more efficient and cost-effective through mass-scale driving behavior analytics. Better data yields more optimal decisions.
This new “driver scoring behavior analytics” tool is now fully commercialized, scalable and ready to ramp. Now it needs to be made readily available to the masses.
To create rapid mass adoption, strategic partners are needed. Opportunely, a SDK was recently launched, so the software can be easily integrated into any existing Mobile App and downloaded right onto over 2000+ existing handheld devices and phones.
We must make mass-scale driving behavior analytics a reality. It’s time to take action!
If you are interested in becoming a partner to help fast-track driver scoring “behavior analytics” adoption, please contact SmartGrowth@RampWise.com.
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Bob Newkirk is a corporate and industry digital transformation evangelist focused on building a critical mass of support for the Internet-of-Things (IoT) evolution that’s transforming and disrupting traditional markets and status quo business models by technologically enabling “connected everything”, “service economy” and “share economy” paradigms.
Bob specializes in developing extensive sales and marketing strategies, such as comprehensive go-to-market models, channel program innovation and optimization, and alliance partner development including executing influential joint marketing network campaigns.
Bob accentuates the disruption cloud platforms (PaaS), Software as a Service (SaaS), social and business networks, and the Internet are having on outmoded sales and marketing strategies. He works with clients and firms to help their marketing and sales initiatives gain traction and achieve success in today's technology-centric, multichannel markets.