A weight measuring device, especially a device to measure weight from which further parameters of passing vehicles such as speed, acceleration, deceleration, turning to the right and to the left, direction of movement, number and type of axles, condition of individual tires, containing at least two measuring elements (1,2) which contains at least one group (3) of measuring elements (1,2) arranged in a body (4) which is part of the road surface (11), of which at least one is a (body (4) deformation) load measuring element (1) and at least one another measuring element is arranged in the body (4) in such a manner that it is a measuring element (2) with a zero deformation load or with a deformation load different from that of the load measuring element (1). The measuring method, especially the method of measuring various parameters of passing vehicles according to which at least one (body (4) deformation) load measuring element (1) and at least one another measuring element (2) with a zero deformation load or with a deformation load different from that of the load measuring element (1) arranged in at least one group (3) transmit continuously, when the vehicle passes over, parameters of light passage for further processing in/by at least one evaluation unit where the difference of these parameters is determined.

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.

The present invention relates to a weigh-in-motion system for motor vehicles based on a set consisting of loop sensors and fiber optic sensors mounted on a rigid metal profile. Its technical field of application corresponds to systems for measuring dynamic physical events that are caused directly or indirectly by the passage of a motor vehicle over its sensors. The rigid weighing sensor is made of rigid or semi-rigid metal, plastic, composite or similar material, with a deformation profile optimized for transforming vertical stresses into horizontal stresses and containing damping and protection material to attenuate external horizontal stresses. This set makes it possible to measure parameters with high precision and in a reliable and simple way, with the advantages of being installed and molded to any floor, of being minimally intrusive, of not suffering electromagnetic interference, of being low cost, of having a long service life, and of having simple manufacturing technology at a lower cost than that demonstrated in the state of the art.

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 calibration device is a calibration device configured to calibrate a load meter that measures an axle load of a vehicle. The calibration device includes a detector and a calibrator. The detector detects a displacement amount corresponding to displacement caused on a road by the axle load of the vehicle. The calibrator aggregates the displacement amounts detected by the detector to generate a histogram of the displacement amounts, and updates a displacement coefficient for calculating the axle load of the vehicle based on a shape of the histogram. The calibrator updates the displacement coefficient base only on the shape of the histogram corresponding to a first axle serving as a forefront axle of the vehicle.

The field of application of present invention relates to weighing systems of vehicles in motion also called WIM systems (Weigh In Motion). The indicated WIM system foresees the placement of a metal plate to the street level, above which vehicles to be weighed may transit, and this metal plate, which is also called loading plate, is mounted above a cavity obtained on the road surface so that it can flex at the passage of the vehicles above it. The system provides that the measurement of the deflection of said loading plate is carried out with the aid of suitable sensors, and that the estimated weight is obtained through the modeling of the flexing of said loading plate depending on the weight of the vehicle passing over. The invention discloses a particularly advantage configuration to achieve a weighing system that can be modelled with the required accuracy.

A force sensor device (200) for detecting a weight of a vehicle. The force sensor device (200) includes an elongated sensor mount (2) with a plurality of hollow sections (3) arranged at least partially overlappingly in the elongated sensor mount (2). A force strip sensor (1) is arranged in each hollow section (3).

A power distribution and vehicle self-learning-based truck overload identification method, comprising: acquiring load identification data of a vehicle; calculating AOP values and STP values according to the load identification data of the vehicle; according to a plurality of sets of AOP values and STP values in a standard full-load state, constructing a power distribution curve of the vehicle in the standard full-load state; and comparing an AOP value during an actual operation process to a corresponding AOP value in the power distribution curve in the standard full-load state, and according to a comparison result, identifying whether the vehicle is overloaded. The method can show the operating states of overloaded vehicles in the road network in real time to provide convenience for oversize and overloading management. Loads of vehicles operating in the road network can be monitored in real time without additional equipment, thus improving the scope of overload identification.

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.

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.