The Next AI Benefit: Better Driver Scorecards – Operations


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Driver scorecards have been used for over a decade for quite a lot of functions starting from measuring idling, variety of journeys, ELD compliance and time on website to figuring out drivers who current a big security threat, however they’ve been an imperfect answer for security monitoring. Drivers dinged for elements akin to rushing, aggressive acceleration and harsh braking sometimes problem the purpose deductions by claiming they had been merging onto a busy on-ramp, braking on a steep mountain street, or in any other case driving in a traditional method. Fleets, in flip, have had no solution to confirm or disprove these claims.

These types of “he mentioned, she mentioned” confrontations have had two critical repercussions.

First, they’ve undermined belief in scorecards as a measure of driver efficiency. That has prompted many fleets to easily disregard the scoring reviews, ignoring their worth as a device for pinpointing high-risk drivers in want of teaching.

Second, these disagreements have induced pointless battle with drivers who’re penalized for occasions which have respectable explanations. This raises the specter of driver resignations at a time when the trade is already quick an estimated 80,000 drivers and dealing with a deficit of greater than 160,000 by 2030.

Benchmarking has helped improve scorecarding methods by evaluating a fleet’s efficiency to operations of comparable dimension, trade, geography and automobile make-up, however it doesn’t clear up the elemental drawback of whether or not a driver deserves to be docked for a given occasion flagged by the telematics system. It could actually present helpful insights into whether or not a fleet’s drivers are performing higher or worse than common, however it fails to enhance the accuracy of the scoring system on which a driver’s future in addition to a fleet’s security file could rise or fall.

Getting It Proper

On the coronary heart of the issue with safety-related scoring errors is the lack of normal telematics expertise to tell apart between dangerous driver habits and actions taken in response to anomalies like street, climate and visitors circumstances. Telematics units use G-sensor and GPS information to collect data on points akin to automobile pace, acceleration charge and arduous braking, however they’re actually blind to variables exterior the cab.

At the moment’s most superior video telematics cameras are eradicating these blinders not solely by including video documentation but in addition by making use of a mixture of machine studying, machine imaginative and prescient and synthetic intelligence to research the footage.

This contextual evaluation makes it potential to find out whether or not an occasion captured by a dashcam wants additional investigation or intervention to make sure fleet security. It differentiates between a pothole and a collision; a pointy curve and a collision avoidance maneuver; an anticipated acceleration and an unsafe pace enhance; braking required for downhill driving and harsh braking suggesting unsafe automobile operation; and extra.

One of many first options able to making these distinctions is SmartWitness AIDE (Synthetic Intelligence Driving Occasions), cloud-based AI-powered software program that has been included with each SmartWitness dashcam for the final 12 months. AIDE analyzes every occasion in near-real time and robotically filters out these that may be defined by native terrain or different real-world driving challenges, decreasing false alerts despatched to fleet managers for evaluation as a lot as tenfold. Over time, the software program’s machine studying additionally learns a person driver’s regular driving patterns, additional refining the flexibility to guage driver efficiency.  

Whereas the outcomes of those superior options will not be but built-in into driver scorecards, fleet managers are already reaping the advantages. AI’s potential to scale back false alerts is leading to:

Much less time wasted in pointless alert evaluation and driver teaching sessionsIncreased fleet supervisor productivityLess battle with drivers falsely accused of dangerous habits behind the wheelMore time targeted on drivers who current a real security threat

Enhancing Scorecard Effectiveness

With AI-powered clever video occasion evaluation in place, TSPs could have the flexibility to develop next-generation scorecards that overcome the constraints of right this moment’s scoring methods in precisely reporting security infractions, together with distracted driving.

If a driver has to slam on the brakes to be able to keep away from an accident, or if the telematics gadget errors a tough street for a detailed encounter with one other automobile, the scorecards of the longer term will be capable to acknowledge the distinction and keep away from assigning unfair demerits that each weaken scorecard worth and chip away at driver morale. This additionally guarantees to extend drivers’ willingness to take heed to constructive suggestions.

Equally vital, newer scorecards will be capable to incorporate video documentation of flagged occasions that can present irrefutable proof of security violations whereas additionally serving as a helpful assist for teaching. Simply as skilled athletes use video clips of themselves as coaching instruments for bettering their efficiency, drivers will be capable to view the offenses that triggered level deductions and use the video as a information for taking corrective motion.

This broad vary of latest visibility options – all enabled by core video telematics expertise mixed with current AI-related advances – will bolster the efficacy of scorecards in serving to fleets optimize security and strengthen working relationships with drivers.

Given the pressing want to handle the driving force retention disaster in addition to defend fleets from accidents that may result in staggering authorized prices, each step towards higher scorecarding is a step towards a greater enterprise setting for fleets in all places.

Michael Bloom is Vice President of Product and Advertising for SmartWitness, a worldwide supplier of video telematics options that assist fleets optimize operations, enhance driving habits and mitigate threat. SmartWitness was lately acquired by Sensata Applied sciences, a worldwide industrial expertise firm striving to create a cleaner, extra environment friendly, electrified, and linked world.



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