1Five Ways Big Data, Analytics Are Transforming the Trucking Industry
Using an open-architecture remote diagnostics system, truck drivers and fleet managers can receive mobile notifications about pending performance issues. The ability to predict issues before they happen helps avoid unplanned downtime. Notifications can be delivered via computers, email, cell phones and more, making it easier for drivers and fleet managers to receive and act on critical updates.
3Over-the-Air Engine Reprogramming
Much like mobile phones, today’s engines benefit from frequent software updates and recalibrations, and will soon be able to receive these updates remotely via over-the-air reprogramming. Benefits like improved fuel economy can thus be achieved without having to schedule multiple service visits. Over-the-air reprogramming can potentially be used to recalibrate engines for new usage patterns, such as mountainous terrains or heavier loads, to optimize vehicle efficiency.
4Truck Health Reports
Open-architecture remote diagnostics systems that work with a truck’s existing telematics systems pull diagnostic-related data from vehicles to create vehicle health reports. Using these reports to capture insights into the operational health of the vehicle, fleet managers can understand the severity of vehicle issues and identify the appropriate corrective actions, ultimately leading to increased uptime. By gaining advance visibility to potential maintenance issues, fleets can also schedule maintenance during planned downtime, avoiding service visits while the truck is scheduled to be in use.
Truck drivers’ on-time delivery is enhanced when mobile data is used to track emerging traffic and weather patterns, approaching truck stops, hotel locations and more. Real-time access to this information enables drivers to cut down on time spent fighting traffic, braving hazardous weather or searching for lodging. It can also speed drivers’ access to the right maintenance or repair facility for their needs, thus contributing directly to improved uptime.
Analysis of vehicle data can pinpoint driver behaviors that reduce fuel efficiency, such as excessive idle time, harsh braking or rapid acceleration. Fleets will also be more empowered to select the right product features and other specifications needed to optimize their vehicles’ fuel economy. Tailored vehicle specifications will increasingly be relied on to address truckers’ emphasis on fuel economy, as well as other user needs.