{"id":4664,"date":"2020-02-05T13:47:19","date_gmt":"2020-02-05T12:47:19","guid":{"rendered":"http:\/\/en.advancedfleetmanagementconsulting.com\/?p=4339"},"modified":"2020-02-05T13:47:19","modified_gmt":"2020-02-05T12:47:19","slug":"addressing-driver-push-back-to-video-based-safety-systems","status":"publish","type":"post","link":"https:\/\/advancedfleetmanagementconsulting.com\/eng\/2020\/02\/05\/addressing-driver-push-back-to-video-based-safety-systems\/","title":{"rendered":"Addressing Driver Push Back to Video-Based Safety Systems"},"content":{"rendered":"

Addressing Driver Push Back to Video-Based Safety Systems<\/strong><\/h3>\n

Improving driver safety, as it is for many fleets, is a top concern for Loram, a railroad maintenance service provider.<\/p>\n

The Minnesota-based company operates a fleet of roughly 300 vehicles in North America comprised of various types of vehicles, but mostly light-duty pickups.<\/p>\n

On average, Loram\u2019s North American fleet clocks in a little under 6.5 million miles per year. Depending on its role, a vehicle will drive anywhere from 20,000 miles to 70,000 miles per year.<\/p>\n

Due to the nature of its business, the vehicles are driven through all manner of terrain, such as backroad access roads, downtown sections of major cities, and prairie regions of the heartland in all types of seasonal climate.<\/p>\n

The company has received the Platinum Service Award from the National Railroad Construction and Maintenance Association (NRC), which recognizes companies who have shown an exemplary commitment to safety, on multiple occasions.<\/p>\n

So, Loram already had a good track record with implementing safety best practices within its operations, but it still wanted to do more to address an issue that is becoming increasingly pervasive in the U.S. \u2014 distracted driving.<\/p>\n

The solution to this concern came in the form of an AI-powered driver safety platform. The platform leveraged embedded AI, dual facing camera, forward facing and in-cab, that can assess situational risk, distraction severity, and provide in-vehicle alerts in real-time to help prevent collisions.<\/p>\n

\"Kevin
Kevin Burton, Loram<\/p>\n<\/figcaption><\/figure>\n

By gaining this video and data, in instances where an accident occurs Loram would be able to identify the unsafe driving habits of the driver in the accident in order to address and remedy those habits.<\/p>\n

\u201cThe primary factor in seeking this technology was the global risk of distracted driving,\u201d said Kevin Burton, vice president of operations at Loram. \u201cWe had a good safety record with our vehicle fleet, but we wanted to have a much better one. We wanted to get in the cab and help prevent distracted driving.\u201d<\/p>\n

Finding the Right Technology and Addressing Driver Concern<\/h5>\n
\"Loram
Loram uses hy-rail vehicles in its fleet. These converted vehicles \u00a0are propelled with their regular tires but are also outfitted with flanged steel wheels to move on railways. Photo courtesy of Loram.<\/em><\/p>\n<\/figcaption><\/figure>\n

When Burton and Rose decided that they were going to implement this AI-based video technology into their fleet, they knew that there would be resistance from drivers.<\/p>\n

The first thing they identified was the fact that nobody like the idea of \u201cBig Brother\u201d watching over them. They knew that they had to come up with a messaging campaign in advance of installing the units.<\/p>\n

\u201cWe told our people that this technology was a distracted driving prevention tool,\u201d said Burton. \u201cThat it would give in-cab audible alerts, and that there would be a camera pointed at them, but that it would not record unless there was a severe distracted driving event.\u201d<\/p>\n

\"Graham
Graham Rose, Loram<\/p>\n<\/figcaption><\/figure>\n

Burton, and Graham Rose, Loram\u2019s vehicle fleet manager, told their drivers that this video technology wasn\u2019t meant to be big brother, it was meant to protect them and maintain their privacy.<\/p>\n

To further ease driver uneasiness of constant surveillance, Burton and Rose shared additional information about technology\u2019s functionality.<\/p>\n

As mentioned, the camera will only record when a distracted driving event occurs. That footage is then uploaded directly to the cloud. At this point, management has still not been notified, the footage and the record of the event are simply added to that driver\u2019s profile.<\/p>\n

The only time that the system immediately notifies management is when an accident occurs.<\/p>\n

\u201cI think that was the big thing that people realized,\u201d said Burton. \u201cThey realized that the system might be recording, but nobody\u2019s looking at it because, quite honestly, we both have full-time jobs and we don\u2019t have time to go online and look at people\u2019s videos. So, we use it as an exception-based reporting tool, when something happens, we get a notification.\u201d<\/p>\n

Less than a month after implementing the camera system, the drivers that were initially not pleased with the idea of being recorded were mostly at ease.<\/p>\n

In fact, because driver footage is uploaded to the cloud, drivers can view their own footage. Burton noted that many drivers who thought they had good driving habits have been able to view instances where they\u2019re distracted, and they have strived to make personal improvements.<\/p>\n

There were a bevy of options when Burton and Rose began searching for a video-based safety platform.<\/p>\n

Rose said that he looked at 25 different options before ultimately landing on his choice.<\/p>\n

The factor that ultimately led to his decision was the AI-powered distracted driving detection capability that was offered by the platform vendor.<\/p>\n

The fact that the camera installed in the vehicle films the inside and outside of the vehicle at all times, but only records and uploads to the cloud when a distracted driving event occurs, and will only notify management in the event of an incident solidified his decision.<\/p>\n

\u201cThe system also includes a driver score that uses data points such as harsh acceleration and braking, along with distracted driving events,\u201d said Rose. \u201cThe driver score and AI-powered camera [helped me] make the choice.\u201d<\/p>\n

Burton and Rose noted that they revised their safety policy after implementing this technology into their fleet.<\/p>\n

Loram\u2019s safety policy now includes language that let\u2019s its drivers know that in the case of an incident recorded by the device, the video captured may be used to terminate employment of employees that are willfully violating company policy or state and federal laws.<\/p>\n

The intention with the safety policy update was to set crystal clear expectations.<\/p>\n

The Technology in Action<\/h5>\n

In 2019 Loram had a driver that hit some black ice and ended up in a ditch, by himself, in Northern Minnesota. Loram was notified almost instantly and management was able to call the driver to make sure he was okay.<\/p>\n

In rural roads, people have hit deer, the system notifies management, and similarly, they\u2019ve been able to check in to ensure the safety of the driver.<\/p>\n

\u201cWe\u2019re using this as a way to make sure our employees are okay after an incident,\u201d said Burton. \u201cAnd I think in all cases our drivers have been very appreciative of the fact that someone\u2019s reaching out to make sure they\u2019re alright.\u201d<\/p>\n

An additional feature of the safety platform is an audible notification system that acts as a form of in vehicle coaching.<\/p>\n

There are three levels of notifications that will start with light beeping and will get progressively louder until it gives drivers a verbal cue that they\u2019re distracted.<\/p>\n

During the pilot program Burton and Rose tested the technology both with the audible notifications on and off to get a baseline for the test.<\/p>\n

The test group first drove the vehicles without the audible notifications and then that same group drove with the notifications on.<\/p>\n

Burton and Rose found was that he test group saw a roughly 15% reduction in distracted driving once the notifications were on.<\/p>\n

When we spoke to Loram they had installed the technology into about 95% of their fleet and had several months of use under their belts.<\/p>\n

In that time they had seen improvements in driving habits, a reduction in accidents, and a 50% reduction in at-fault determination by their insurance underwriters.<\/p>\n

\u201cEach year we would have judgements that would put us somewhat or completely at fault for accidents we knew we were not at fault for,\u201d said Burton. \u201cWe\u2019ve already been cleared of fault in some accidents where we were not at fault for, which is one of the clearest and earliest indicators of how strong this platform can be.\u201d<\/p>\n

Burton and Rose said that they were still in the early stages of really seeing how the technology will affect its operations. Early indicators have them optimistic of the results, they\u2019re waiting until they\u2019ve used the system for a year before making that evaluation.<\/p>\n

The Type of Drivers at Loram<\/h5>\n
\"There
There are various duties that Loram personnel are tasked with. One of their jobs is maintaining and improving railways infrastructure.\u00a0Photo courtesy of Loram.<\/em><\/p>\n<\/figcaption><\/figure>\n

Burton and Rose noted that there are essentially four different type of company drivers within Loram\u2019s operations.<\/p>\n

One of those types of drivers operate vehicles that are governed by the Department of Transportation (DOT). These drivers are hauling material in a semi-truck, such as an F-550 hauling a trailer.<\/p>\n

They operate in mixed traffic and essentially travel to loading dock facilities from on shipping location to another.<\/p>\n

Burton described the second type of driver as a field clerk driver. These drivers will pickup up crews of workers in the morning or at night, before their shift, to the company\u2019s rail-bound equipment and drops them off in that location.<\/p>\n

After dropping off the crews, the field clerk driver will then spend their day pickup up parts, picking up sup-plies, and running general errands. These drivers drive in and out of freight terminals and travel to various types of retail stores.<\/p>\n

The third type of driver is a designated driver for small crews. These drivers will transport two to three people These drivers are also in charge of fueling the vehicle before a shift and picking up general supplies for the crew, such as groceries before the shift begins. During this driver\u2019s shift, he or she will follow rail-bound equipment while its moving from one location to another.<\/p>\n

They\u2019re essentially chasing certain rail equipment, jumping in and out of their vehicle as they\u2019re following the equipment to look at quality of work that the equipment is leaving behind.<\/p>\n

After inspecting, they\u2019ll get back into their vehicle and continue to follow the equipment across town or move on to other equipment on different rail yards.<\/p>\n

The fourth type of driver operates in a service technician role. They\u2019re driving by themselves 100% of the time and they travel from work location to work location in a support capacity.<\/p>\n

As mentioned, the first type of driver operates large, DOT-regulated vehicles, but the rest of the drivers operate light-duty pickups. These light-duty pickups make up most of Loram\u2019s fleet in North America.<\/p>\n

by Eric Gandarilla<\/a><\/p>\n

Source: https:\/\/www.automotive-fleet.com<\/a><\/p>\n

FLEET MANAGEMENT AUDIT<\/h3>\n

Fleet management is the use of a set of vehicles in order to provide services to a third-party, or to perform a task for our organization, in the most efficient and productive manner with a determined level of service and cost.<\/p>\n

Fleet management activities are shown in the following graph 1:<\/p>\n

\"fleet<\/p>\n

Graph 1: fleet management activities<\/p>\n

The proposal audit analyses and assesses all fleet management activities shown in the graph 1, and its main goals are:<\/p>\n