The Future of Highway Safety Depends on Massive Data Integration and Connectivity

Posted February 5, 2018 by Administrator in Transportation | 0 comments

In today’s technology-based world, an increasing number of trucks include smart sensors that send information about location and operating conditions. Truck manufacturers have already connected around 500,000 trucks to the Internet of Things (IoT). This trend is projected to continue to grow; it is estimated that more than 35 million trucks will be connected by 2020. Many fleet owners today believe that connected trucks will be a given in the near future.

Connected trucks do more than communicate with office managers through the internet; they now share data with each other. Connected trucks are now able to form a platoon where multiple trucks are able to follow a “leader” truck through connected technology and information sharing.

Platoons are generating more interest because they offer an incredible cost savings. Truck drivers are able to increase their productivity by resting in semi-autonomous trucks that are communicating with a lead vehicle. Platoons have been shown to be safer because semi-autonomous trucks have a reduced response rate. Wifi-based vehicle-to-vehicle (V2V), lane departure assist, adaptive cruise control and active brake assist offer heightened safety and fewer traffic incidences.

Semi-automated connected trucks are already driving in platoons on public roads in the U.S., Europe and Singapore. Manufacturers are working on improving the way connected trucks efficiently communicate and share their data. Various types of devices, including sensors, controllers and software applications are being refined to better share their data seamlessly. Data that is gathered has the capacity to not only improve the safety of commercial trucks but also improve customers service.

The types of data that is currently being shared include:

  • Temperature
  • Moisture
  • Wind
  • Rate of acceleration
  • Braking
  • Location of truck
  • Safety hazard sensors on the truck such as a back door sensor
  • Humidity
  • Diagnostics and service records
  • Checking inventory
  • Placing orders

In addition to data collection, connected technology needs to be protected against cyber attacks. It’s essential to include safeguards that will prevent data loss and cyber hackers from interfering and causing data leaks or accidents. Commercial truck manufacturers are working toward all-inclusive integration platforms that will enable the sharing of information between vehicles, their drivers and the whole logistics network.

The increasing cost of communications, coupled with the increasing amount of data, means that information flows need to be improved to make them more efficient to ensure a seamless flow of information. Data needs to be managed properly to ensure that documentation is maintained for compliance purposes as well as kept secure. Information needs to be scalable in order to manage large volumes of data.

Connected trucks are a reality. It is imperative that data used by commercial trucks is maintained securely and reliably. Finding cost effective ways to collect, share and analyze data will help make semi-autonomous trucks safer and affordable.

Cline Wood represents top trucking and agribusiness insurance carriers across the country. We have access to all types of insurance programs, treating your company as if it were our own. Contact us today to find out how we can help you manage your risk, directly contributing to your bottom line.

This document is not intended to be taken as advice regarding any individual situation and should not be relied upon as such. Marsh & McLennan Agency LLC shall have no obligation to update this publication and shall have no liability to you or any other party arising out of this publication or any matter contained herein. Any statements concerning actuarial, tax, accounting or legal matters are based solely on our experience as consultants and are not to be relied upon as actuarial, accounting, tax or legal advice, for which you should consult your own professional advisors. Any modeling analytics or projections are subject to inherent uncertainty and the analysis could be materially affective if any underlying assumptions, conditions, information or factors are inaccurate or incomplete or should change.

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