The Interstate of Things (ISoT)

Leverage Big Data and Predictive Analytics to Improve Fleet Efficiency

The internet of things (IoT), big data, smart routing, and predictive analytics — all of these items make up a strategy that Omnitracs calls The Interstate of Things (ISoT).  ISoT allows fleets to rapidly adjust to industry phenomena such as the ELD Mandate, platooning, vehicle automation, and other changes that can lead to industry disruption — turning potential risks into productive innovation.

ISoT leverages big data and predictive analytics to provide greater insight over the themes that are of great importance to fleets, such as safety, security, business efficiency, driver satisfaction, and compliance. ISoT can enable companies to track maintenance needs, driver safety, fuel usage, and several other efficiency metrics such as load capacity, engine performance data, fuel economy, location, and engine diagnostics in real time.


Before the Internet of Things, before the Information Superhighway, there was the Interstate of Things…

The goal of ISoT is to shape future of the transportation industry by intelligently connecting people, processes, data, and things via devices and sensors.

Omnitracs works continuously to develop our devices and applications to better serve the transportation industry into the future. When it comes to ISoT and using information from smart devices and sensors, we have already begun to utilize the data that they collect.

Take a look at some of the products that are already utilizing big data...

Omnitracs Roadnet Routing and Dispatching

With Omnitracs Roadnet routing and dispatching solutions, tracking goods becomes faster, more accurate, predictive, and secure. The software collects thousands of real-time data points from daily execution of routes relative to the route plan and driver behavior information to create smarter routes and help drivers make on-the-fly adjustments. This improves fleet efficiency and reduces idling time and fuel consumption, to make your fleet more agile.

Omnitracs Intelligent Navigation

With Omnitracs Navigation, fleets are able to provide their drivers with accurate mapping information at all times thanks to quarterly over-the-air updates. These updates allow drivers to choose the best route every time and avoid delays due to construction or unmarked detours. Additionally, drivers also benefit from Omnitracs Navigations driver community, which allows other drivers to provide real-time feedback on anything they encounter, including new information on roads, points of interest, and speed limit changes. This allows drivers to make better decisions on their routes — leading to a more efficient fleet.

Accident Severity Model

The Omnitracs Accident Severity Model allows fleets to utilize their historical electronic hours of service (HOS) driver log information to predict which drivers are at the highest risk of a severe accident. This model compares the historical data that led to severe accidents and models your drivers’ data against that information to predict which drivers are at risk of a severe accident. This enables fleets to provide proactive coaching to prevent accidents, reduce related expenses, improve productivity, and enhance overall safety. 

ELD Driver Retention Model

The Omnitracs ELD Driver Retention Model works in a similar fashion to the Accident Severity Model, only it works to identify drivers who are at risk of quitting by looking at behavior patterns of thousands of other drivers who did quit unexpectedly. This can help fleets identify those drivers who are at risk and help fleet managers start conversations with those drivers to decrease their chances of early termination.

These are just a few examples of ways that fleets like yours can utilize the Interstate of Things to capture the full power of big data, smart routing, and predictive analytics to rapidly adapt to industry phenomena such as the ELD Mandate, platooning, and vehicle automation.