The Peloton Truck Platooning System electronically couples pairs of trucks through a combination of vehicle-to-vehicle communications, radar-based active braking systems and proprietary vehicle-control algorithms. The system improves safety and allows trucks to travel at closer distances, which improves aerodynamics and reduces fuel use.
Peloton’s Cloud-based Network Operations Center continuously monitors individual truck safety and approves the linking of pairs of trucks only on suitable roads under appropriate weather, vehicle and traffic conditions. Drivers retain steering control and command of their vehicles at all times. The Peloton System integrates best-in-class active safety systems with cloud-based monitoring, making individual trucks safer at all times and delivering a rapid return on investment to fleets via fuel efficiency.
In 2013, Peloton began demonstrating its Truck Platooning System with fleets and other transportation stakeholders in the US, where the trucking industry is worth $700 billion annually. The System has been shown to reduce fuel consumption by 10% for the rear truck and 4.5% for the front truck, based on industry-standard SAE J1321 Type II fuel economy testing conducted by the North American Council for Freight Efficiency.
To date, the Peloton System has logged more than 15,000 platooning miles and been showcased in on-highway demonstrations, government, private and fleet tests in Nevada, Utah, Texas, Ohio, Florida, Alabama and Michigan. Demonstrations and fleet pilot deployments in additional states will be held later this year.
By partnering with Peloton Technology, Lockheed Martin joins an investment group that includes seven Fortune Global 500 companies in technology and transportation as well as several venture capital funds.
Lockheed Martin has been a leader in autonomous vehicles for more than three decades, from the pioneering Autonomous Land Vehicle to the cutting-edge Autonomous Mobility Applique System (AMAS), which aims to provide driver assistance and automation to military vehicles in convoys through a multiplatform kit of sensors and control systems.