Cummins Power Generation BU launched Frontier program which will allow a common, global order-management system that will enable its customers to receive the right product at the right price at the right time.

Road congestion and strained transportation networks are persistent concerns associated with the rapid urbanization of developing and developed economies. A 2015 study1 reported that travel delays due to traffic congestion led to the waste of 3.1 billion gallons of fuel and a loss of nearly 7 billion extra hours to travelers during rush hour traffic, with a nationwide cost of around $160 billion, or $960 per commuter. Alleviating traffic congestion, in addition to improving safety, is leading public and private organizations to explore new mobility paradigms such as ride-share autonomous vehicles. GOAL The goal of the Connected Vehicle Urban Traffic Management (CVUTM) testbed is to create a smart road traffic ecosystem featuring connected vehicles using vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) technologies, sensor fusion, industrial IoT platforms, cloud infrastructure, and edge analytics. This testbed will serve to preempt road congestion, automatically detect unusual eventson the road, and enable cooperative movement of traffic. In due course, both autonomous and non-autonomous vehicles will participate in this ecosystem with a goal of minimizing road congestion and improve overall improving motorist and pedestrian safety.

The growing water shortage is regarded as the most crucial global challenge, affecting both developing and developed nations at present. Large amount of water is lost in between the point of production and receipt by end users due to leaky pipes and outdated infrastructure. This results in the loss of millions of dollars and huge wastage of such a key resource. GOAL A substantial opportunity exists to reduce the amount of water lost. As water can be lost at multiple points over a wide geographical area, Internet of Things (IoT) technology is particularly well suited to address this problem. The Smart Water Management Testbed will implement a network of real-time sensors (leakage, moisture, and water -flow detection). These will be deployed at high-risk locations across the testbed water infrastructure to reduce the amount of water being ‘lost’ by: • Rapid detection of leaks • Preemptive detection of potential leaks • Precision irrigation of watered areas