A system for automatically initializing a weighing process of one or more loads at a concrete plant or an asphalt plant. The system includes a plant, a staging area, a truck and a fleet of trucks. Each truck contains one output device which contains a unique output device ID identifier, an output device reader or readers, a batch non-transitory storage media, a dispatch non-transitory storage media, a reader non-transitory storage media and a material load verification non-transitory storage media, a third party or cloud non-transitory storage media and a master truck file containing a truck file for each truck and a database.

The present invention relates to a system for monitoring dynamic e weighing of vehicles, speed of vehicles on lanes, applied to the monitoring of road traffic variables, traffic control, maintenance and infrastructure, diagnosis of traffic problems, on toll roads and in the application of fines in irregular traffic situations, through the technology of optical fiber, with punctual and quasi-distributed sensors, that allow for quick response, to be encapsulated, to ease the process of installation and/or to protect the sensing optical fiber, to employ specific materials, they can be assembled in advanced configurations of optical networks and with the advantages of having a lower cost and prolonged shelf-life when compared to the other technologies; the sensors can be multiplexed, have high spatial resolution across the pavement, and manufacturing technology is simple and inexpensive and transferable due to associated costs.

A system for automatically initializing a weighing process of one or more loads at a concrete plant or an asphalt plant. The system includes a plant, a staging area, a truck and a fleet of trucks. Each truck contains one output device which contains a unique output device ID identifier, an output device reader or readers, a batch non-transitory storage media, a dispatch non-transitory storage media, a reader non-transitory storage media and a material load verification non-transitory storage media, a third party or cloud non-transitory storage media and a master truck file containing a truck file for each truck and a database.

A system for pavement slab analysis based on data regarding transfer of force through a sensing volume responsive to exertion of weight on the sensing volume by passing objects including a precast pavement slab defining the sensing volume and having a top surface, a plurality of strain gauges embedded in the pavement slab within the sensing volume, and load-transferring connector(s) attaching the pavement slab to an adjacent slab. The strain gauges are distributed across an XY coordinate plane parallel to the top surface. The system also includes a processing element and computer-readable instructions for receipt of electrical signals from the strain gauges and to analysis of the electrical signals to determine one or more of the following: (A) risk of a structural defect in the pavement slab, (B) risk of a problem with underlying sub-grade beneath the pavement slab, and (C) movement of the passing objects across the top surface.

Various applications for use of mass estimations of a vehicle, including to control operation of the vehicle, sharing the mass estimation with other vehicles and/or a Network Operations Center (NOC), organizing vehicles operating in a platoon and/or partially controlling the operation of one or more vehicles operating in a platoon based on the relative mass estimations between the platooning vehicles. When vehicles are operating in a platoon, the relative mass between a lead and a following vehicle may be used to scale torque and/or brake commands generated by the lead vehicle and sent to the following vehicle.

Controllers, control architectures, systems and methods are described for controlling a host vehicle's participation in a platoon. In some embodiments, a vehicle control system includes a vehicle controller configured to determine vehicle control commands for at least partially automatically controlling the host vehicle based at least in part on sensor information. The vehicle control commands are arranged to be directly or indirectly utilized by one or more host vehicle control units resident on the host vehicle. The vehicle control system also includes one or more safety monitoring algorithms that, during at least partially automated driving, verify that selected vehicle control commands received from the vehicle controller meet selected safety criteria. At least some of the safety algorithms utilize sensor data in the verification of the commands received from the vehicle controller. The sensor data used by the safety algorithms may come from the host vehicle and/or a second vehicle.

A vehicle can include throttle, braking, and steering systems. The vehicle can further include a computing system that obtains, from one or more sensors, data representing one or more of a velocity or an acceleration of the vehicle. The computing system can further determine an estimated weight of the vehicle based on the one or more of the velocity or the acceleration of the vehicle, and autonomously operate the throttle, braking, and steering systems of the vehicle based on the estimated weight of the vehicle.

A device for weighing aircraft includes a weighing platform configured to receive a undercarriage leg of the aircraft and to generate weighing signals, a first calculation unit configured to calculate weighing information from the weighing signals generated by the weighing platform, a communication unit configured to transmit to a central device and to receive signals including at least one signal representing the weighing information calculated by the calculation unit, and a ground rolling unit configured to move the weighing platform over a surface.

Controllers, control architectures, systems and methods are described for controlling a host vehicle's participation in a platoon. In some embodiments, a vehicle control system includes a vehicle controller configured to determine vehicle control commands for at least partially automatically controlling the host vehicle based at least in part on sensor information. The vehicle control commands are arranged to be directly or indirectly utilized by one or more host vehicle control units resident on the host vehicle. The vehicle control system also includes one or more safety monitoring algorithms that, during at least partially automated driving, verify that selected vehicle control commands received from the vehicle controller meet selected safety criteria. At least some of the safety algorithms utilize sensor data in the verification of the commands received from the vehicle controller. The sensor data used by the safety algorithms may come from the host vehicle and/or a second vehicle.

Systems, methods, and apparatuses can determine weight of a machine using rolling resistance. The machine may be electrified, either all-electrically powered or partially electrically powered. The rolling resistance can be determined based on motor signaling from one or more motor sensors that sense motor characteristics (e.g., drawn current) from one or more electric motors that drive the machine. The weight of the machine can be determined using the determined rolling resistance. Weight information can be output for display on a display and/or for storing in computer-readable storage onboard and/or offboard the machine.