Skip to main content

Denso to invest in truck platooning technology

Denso International America has entered into an investment agreement with Peloton Technology, which will help accelerate Peloton's development and deployment of platooning technology. The technology aims to increase fuel economy and improve safety for the global trucking industry. Platooning technology uses vehicle-to-vehicle and vehicle-to-infrastructure (V2X) wireless communication and radar to pair trucks to travel closely together and thus create an aerodynamic system that is similar to drafting in r
June 1, 2015 Read time: 2 mins
Denso International America (4306 Denso Corporation) has entered into an investment agreement with Peloton Technology, which will help accelerate Peloton's development and deployment of platooning technology. The technology aims to increase fuel economy and improve safety for the global trucking industry.

Platooning technology uses vehicle-to-vehicle and vehicle-to-infrastructure (V2X) wireless communication and radar to pair trucks to travel closely together and thus create an aerodynamic system that is similar to drafting in race cars. The direct communication system provides a way for trucks to 'talk' with each other and safely follow another truck with the same features to improve braking and acceleration time, increase safety and reduce fuel costs.

"Denso is excited to build a strong relationship with Peloton," says Tony Cannestra, Director of Corporate Ventures for Denso International America, Inc. "As a leader in vehicle-to-vehicle (V2V) technologies, we are eager to work closely with Peloton to implement the first large-scale deployment of a V2V system. Denso believes that Peloton's system has the potential to help increase safety and fuel savings in the transportation industry."

For more than a decade, Denso has been researching and developing V2X technology systems to allow cars to communicate with surrounding vehicles and traffic signals. It claims the application of this technology to the trucking industry could potentially help large fleet vehicles reduce fuel consumption by 10 per cent for the rear truck and 4.5 percent for the front truck (based on industry-standard SAE J1321 Type II fuel economy testing conducted by the North American Council for Freight Efficiency and trucking fleet C.R. England).

Related Content

  • February 20, 2015
    Groups seek electronic collision alert devices on big trucks
    The US Advocates for Highway and Auto Safety, the Truck Safety Coalition, the Center for Auto Safety and Road Safe America have filed a petition with the National Highway Traffic Safety Administration (NHTSA) requesting that the agency initiate rulemaking to require forward collision avoidance and mitigation braking (F-CAM) systems on all new large trucks and buses with a gross vehicle weight rating (GVWR) of 10,000 pounds or more. F-CAM technology uses radar and sensors to first alert the driver and then t
  • June 10, 2021
    Robotic Research: harnessing AV potential
    Robotic Research is leading in AV R&D, from work with the US Army to enabling the first automated BRT line in North America: Gordon Feller assesses what the company is doing
  • February 3, 2012
    Safe-driver training reduces costs, increases safety
    Hermes, one of Europe's leading home delivery specialists, and part of the Otto group's European logistics division, estimates that introducing a range of safe-driving measures in its UK operations have contributed to a US$1.5 million cost saving to the business in the 12 months to April 2010.
  • February 3, 2012
    Embedded connectivity delivers real time travel information
    Ton Brand describes the GSM Association's Embedded mTelematics programme. As the world's roads become increasingly crowded, consumers and businesses are demanding better real-time information to help them both avoid traffic congestion and make smarter use of public transport. Embedding mobile connectivity directly into vehicles can enable drivers and passengers to see live traffic flows in their localities, as well as the expected arrival time of the next bus, ferry or tram