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Predictive Analytics For Truck Drivers?

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November 8, 2012 in Business

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The US Commercial Trucking Industry strives with Predictive Analytics for safety.

“DriveCam, Inc. continues its Driving Insights Series with a look at the correlation of driving behaviors and collision severity in government fleets. The key finding in DriveCam’s analysis reveals that it is possible to identify behaviors that indicate an increased likelihood of a collision, but reducing the frequency of these behaviors may not impact the severity of the collisions. By understanding some of the commonly viewed causes of collisions, fleet and safety managers are better able to identify drivers who are more likely to be involved in more severe collisions.”

http://finance.yahoo.com/news/drivecam-releases-insights-government-fleets-110000995.html

DriveCam

“THE DRIVER SCIENCE COMPANY. As proven experts in compliance and the science  of safe and efficient driving, DriveCam reduces collision-related  expenses, fuel costs and the risk of audits and lost business for  hundreds of commercial fleets worldwide. We identify and address the causes  of poor driving by combining sight and sound with real-time, predictive analytics.”

http://www.drivecam.com/

Slides # 14-19 shows the Beta algorithms of a driver.  Slide # 31, 38, explains in detail.

http://mcsac.fmcsa.dot.gov/documents/June2010/DriveCam%20presentation.pdf

How will it be used?

“The severity of the braking triggered a DriveCam system to record the  video of the event. Neuroergonomics provides a multidisciplinary  translational approach that merges elements of neuroscience, human factors,  cognitive psychology, and ergonomics to study brain structure and function in  everyday environments. Driving safety, particularly that of older  drivers with cognitive impairments, is a fruitful application  domain for neuroergonomics. Driving makes demands on multiple cognitive  processes that are often studied in isolation and so presents a useful challenge  in generalizing findings from controlled laboratory tasks to predict safety outcomes.”

http://www.psychology.uiowa.edu/students/jcosman/Lees_Cosman_etal_Neuroerg_AJP_2010.pdf

How does this camera extract the feedback?

“DriveCam Video Systems, a  provider of knowledge-based systems to improve driving behavior, announced on  March 30 the availability of the DriveCam Illuminator, an infrared lighting device that brightens images captured by the dual-lens DriveCam video event recorder. The Illuminator ensures that video and images of a  vehicle’s interior captured in low light conditions are clearly visible. The DriveCam system is used by fleets to identify and improve risky driving  behavior”.

http://www.automotive-fleet.com/Channel/Safety-Accident-Management/News/Story/2005/04/DriveCam-Illuminator-Brightens-In-Vehicle-Video-Recordings.aspx?prestitial=1

What is an Infrared Illuminator?

Functional Near-Infrared Spectroscope (fNIRs) is one of the latest technologies  which utilize light in the near-infrared range to determine brain  activities. Near-infrared technology allows design of safe, portable, wearable,  non-invasive and wireless qualities monitoring systems. This indicates that fNIRs signal monitoring of brain hemodynamics can be value in helping to understand brain tasks.”

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2474833/

It monitors “Beta” Brain waves.

Beta brain waves are associated with normal waking consciousness and a  heightened state of alertness, logic and critical reasoning. While Beta  brain waves are important for effective functioning throughout the day, they  also can translate into stress, anxiety and restlessness. The voice of Beta  can be described as being that nagging little inner critic that gets louder the  higher you go into range. Therefore, with a majority of adults operate at  Beta; it’s little surprise that stress is today’s most common health  problem.”
http://www.finerminds.com/mind-power/brain-waves/

Predictive Analytics software will also be used for preventing work injuries and healthcare for truckers.

“A new white paper, “Predictive Analytics in Workplace Safety: Four ‘Safety Truths’ that Reduce Workplace Injuries,” has been released by Predictive Solutions Corporation, an Industrial Scientific company. It is a resource for workplace safety professionals on cutting-edge, advanced and predictive analytics to help prevent workplace injuries.”

http://www.analytics-magazine.org/special-articles/523-predictive-analytics-used-to-predict-and-prevent-workplace-injuries

“I am attending the Computerworld Business Intelligence and Analytics Perspective conference and just gave the opening keynote “From Business Intelligence to Predictive Analytics.” Following me is the team from Blue Health Intelligence about their innovative use of predictive analytics. The US healthcare system that is more expensive, less effective and less safe than many other countries’ systems. In particular the money spent on chronic conditions like hypertension or diabetes – 76% of admissions, 88% of prescription drugs, 96% of home care visits and 72% of doctor visits.The top 5% of users of healthcare consume 55% of services.”

http://jtonedm.com/2011/09/19/predictive-analytics-in-healthcare/

Now what is the importantance of using this technology on truck drivers, and what kind of unhealthy/unsafe behaviors are they really monitoring for?

Trucking has been classified as one of the highest-risk occupations in the  United States. Occupational stress is even greater forlong-haul truckers who  are away from home, family, friends, andother support networks for several days  or weeks at a time. Occupational stressors and the mental health of truckers was studied using data collected as part of a large multisite  ethno-epidemiological study of trucker networks. Findings from the current study show that truckers face  many occupational stressors including constant time pressures, social isolation,  disrespectful treatment from others, driving hazards such as weather changes,  traffic, and road conditions, and violence or fear of violence. Facing such  stressors may be a factor in the prevalence of risky be-haviors including drug  use and paying for sex. Therefore, mental health promotion and treatment  for truckers is an important area of concern and must be examined within the  broader context of the transportation environment.”

http://www.academia.edu/509250/Occupational_Stressors_and_the_Mental_Health_of_Truckers

In a recent study trucking companies are using this technology on obese truck drivers.

For a truck driver, carrying extra pounds around the middle comes with an unexpected cost: crashing. Obese truckers are more likely than  their normal-weight counterparts to get into an accident in their first 2 years  on the job, a new study reports. The findings fuel an ongoing debate over  the best way to screen commercial drivers for medical conditions that pose a  risk on the road.  For more than a decade, behavioral economist and  former truck driver Stephen Burks of the University of Minnesota, Morris, has  been working with trucking company Schneider National to identify factors  that contribute to truck driver health and safety. Burks and his team have studied drivers’ cognitive abilities, tolerance for risk  and loss, and even their ability to plan.

http://news.sciencemag.org/sciencenow/2012/10/big-truckers-run-bigger-risk.html

Predictive analytics software is under MAP-21, which is a part of Sustainable Development.

“On Friday, July 6, 2012, President Obama signed the short-term highway bill known as ‘Moving Ahead for Progress in the 21st Century Act’, or ‘MAP-21′.  This two-year highway bill will provide federal funding of transportation programs through September 2014.  One provision to note, is the requirement that all motor carriers involved in interstate commerce, and subject to the provisions of CFR49, part 395, will be mandated to equip their commercial motor vehicles (CMV) with an electronic on-board recording device (EOBR).  This measure aims at improving the HOS compliance of a CMV operator.”

http://www.profittools.net/obama-signs-map-21highway-bill-into-law-its-official/

Map-21 Full Text

http://www.govtrack.us/congress/bills/112/s1813/text

http://www.its.dot.gov/strategic_plan2010_2014/index.htm  (more examples)

Sustainable Transportaion using neural networks

http://www.jsce.or.jp/library/open/proc/maglist2/00039/200211_no26/pdf/154.pdf

Human Factors for transportation

http://www.nhtsa.gov/Research/Human+Factors

http://www.youtube.com/watch?v=HJMpajaLEeY&feature=player_detailpage

I hope I have supplied enough information for everyone to understand.

 

 


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