A method to calibrate a Weigh in Motion (WIM) sensor that is arranged in a road flush with a road surface for determining a force exerted on the road surface by a vehicle's wheel transgressing the WIM sensor uses an evaluation unit that calculates the wheel force upon receiving the vehicle's velocity and a distance signal from a first device fixed on the vehicle and coordinates the wheel force with a synchronized signal from the WIM sensor to generate a calibrate function for the WIM sensor. The evaluation unit continuously adjusts the wheel force to take into account one or more of wheel pressure, wheel temperature, wheel tilt and vehicle acceleration. A system employing the method includes the vehicle, the evaluation unit, the first device, a synchronization device such as a GPS unit, and sensors for one or more of pressure, temperature, tilt and acceleration.

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.

A modular pavement slab comprises a body, a strain sensor array, and a sensor processor. The body includes a top surface, a bottom surface, and four side surfaces. The modular pavement slab is configured to be coupled to at least one other modular pavement slab via connectors along at least one of the side surfaces. The strain sensor array is retained within the body and is configured to detect a plurality of strains on the body resulting from vehicular traffic across the top surface of the body. The sensor processor is in communication with the strain sensor array. The sensor processor is configured to communicate input signals to the strain sensor array, receive output signals from the strain sensor array, and determine a plurality of time-varying strain values, each strain value indicating a strain experienced over time by a successive one of a plurality of regions of the body.

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.

A stress distribution measurement method is a method of measuring stress distribution generated on a structural object including two support parts and a beam part provided between the support parts. The method includes: generating first image data by performing, through a first image capturing unit, image capturing of a moving object or an identification display object attached to the structural object from the moving object; calculating, based on the first image data, a movement duration in which the moving object moves between the support parts; generating, as second image data, thermal image data by performing image capturing of the surface of the beam part through a second image capturing unit; calculating a temperature change amount based on a second image data group corresponding to the movement duration; and calculating a stress change amount based on the temperature change amount to calculate stress distribution based on the stress change amount.

A strip scale suitable for use in connection with high speed, in motion weighing applications. The scale has a base, a load cell, a compliant member, and a platform. Also disclosed are load cells for use with the scale, and systems and methods for using the scales.

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 loading weight detection device applicable to various mobile bodies can accurately detect loading weight with minimized number of input variables. It includes a touch panel 33 receiving input of vehicle body weight m.sub.a and initial setting cargo weight m.sub.b0; an oscillation detection part 20 detecting cargo vehicle oscillation; an arithmetic part 31 functioning as natural vibration identifying means for identifying natural vibration in self-weight direction as vertical oscillation center-of-gravity-specific natural vibration value, based on oscillation data detected by an oscillation detection part 20; a storage part 32 storing vertical oscillation center-of-gravity-specific natural vibration value identified by an arithmetic part 31 with cargo having initial setting cargo weight of m.sub.b0 loaded on cargo vehicle, vehicle body weight m.sub.a, and initial setting cargo weight m.sub.b0 as initial setting data, arithmetic part 31 calculating total weight M, being based on vertical oscillation center-of-gravity-specific natural vibration value identified and initial setting data.

A computing system determines an estimated weight of a vehicle by measuring kinematic data of the vehicle, including at least one of a velocity or an acceleration of the vehicle. The computing system processes the data to determine an estimated weight of the vehicle. Based on the estimated weight of the vehicle, the computing system can autonomously operate the throttle, braking, and steering systems of the vehicle.

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.