Artificial intelligence and machine learning are set to be central themes across technology exhibitions at the 2023 Brisbane Truck Show, including leading truck telematics vendor Teletrac Navman
Leading telematics provider Teletrac Navman has revealed it will be showcasing its artificial intelligence (AI)-powered fleet management solutions at the 2023 Brisbane Truck Show.
Since unveiling its NHVR-approved electronic work diary (EWD) solution prior to the 2021 event, the company has unveiled a series of enhancements to its suite of products and solutions.
In February 2022, Teletrac Navman released the TCA-approved VT102 device, which collects key metrics such as trip distance, vehicle engine data, and safety data for use in regulatory programs like the IAP, OBM, TMA, and RIM; as well as Smart Dashcam, which uses forward and driver-facing cameras, telematics data and advanced onboard sensors to monitor driver performance.
When paired with its core AI-powered TN360 software, the solutions enable transport operators to ensure drivers and vehicles are operating safely and more efficiently through high-definition GPS tracking, real-time vehicle updates, and customisable data and analytics.
TN360 also provides transport operators job dispatch and work execution via the Smartjobs feature which leverages the Teletrac Navman in-cab and mobile devices and supports popular TMS platforms such as TMW, SAP, Oracle and others.
The Smart Dashcam solution combines real-time footage with analytics to measure driver performance against key safety and performance metrics such as rolling through stop signs, close driving and other drivers changing lanes nearby, with the results leveraged to identify areas in need of improvement.
Drivers also get automatic notifications of events as they occur, providing real-time visibility into risky behaviour.
Teletrac Navman’s NHVR-approved EWD provides an electronic alternative to written work diaries and delivers operators a real-time dashboard of fatigue information and driver hour status; while for drivers it lets them view their status, rest break calculations and available work hours on an in-cabin device.
Chief Product Officer Andrew Rossington says these new-generation technologies reflect a fundamental shift under way by both vendors and customers, from capturing historical data to “real time, predictive” data.
He says this has principally been driven by increased compliance requirements and the opening of access to higher-productivity truck routes.
At the same time, the technology has become more widely available and more affordable.
With this, operators – especially medium to large transporters – are now focusing on “taking compliance from a cost to an opportunity”.
“Before 2015-16 (the technology) was all about where’s my vehicle, what has it been doing, where has it been,” he says.
“Operators are saying how can I take this data (collected by EWDs) and use it to help improve driver performance. I’ve got reams of data, how can I use it to make my operation better through better journey planning, better fleet usage.
“They are trying (to use the data) to make the driver, the fleet, the delivery more efficient and more safe.
“I strongly believe that what operators are going to be looking for is getting leverage, getting advantage out of their telematics data.”
That’s where artificial intelligence and machine learning come in.
For example, Rossington says Teletrac Navman’s Smart Dashcam collects and records data on incidents and accidents.
“What we then need to do is put all this data into the context of the whole trip so that we are able to predict if (an incident) is going to happen again,” he says.
“We’re trying to answer questions such as what’s the best vehicle for the task, for the route; who’s the best driver with available hours, work history etc to do the task.
“It’s early days, the first thing we’re doing is building out the data so we can provide a level of predictability. And the first services we are providing are various downloads and insights.
“For example, if you are experiencing an extended wait time on a site we’re leveraging the data to ask when and where and is there a pattern. The next phase is how we provide the answers upfront.”
Location: Stand 104, Hall 4
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