A bridge paving machine and method for paving a 3D design without vertical profile rails includes converting a desired design into a 3D surface model to account for certain factors known to cause deviations in the paving processes and paving the 3D surface model in the expectation that factors will cause the 3D surface model to deflect into the desired design. An on-board computer system adjusts the 3D surface model in real-time to correct for on-site variables. The on-board computer system receives data from various external sensors, including deflection sensors fixed to girders in the bride structure, and paving machine-based sensors, and uses various predictive models to predict surface deflection based on the sensor data. The 3D surface model is continuously updated based on the predictive models and actual measured deflections.

A bridge paving machine and method for paving a 3D design without vertical profile rails includes converting a desired design into a 3D surface model to account for certain factors known to cause deviations in the paving processes and paving the 3D surface model in the expectation that factors will cause the 3D surface model to deflect into the desired design. An on-board computer system adjusts the 3D surface model in real-time to correct for on-site variables. The on-board computer system receives data from various external sensors, including deflection sensors fixed to girders in the bride structure, and paving machine-based sensors, and uses various predictive models to predict surface deflection based on the sensor data. The 3D surface model is continuously updated based on the predictive models and actual measured deflections.

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.

A screeding system for use with a screeding machine during screeding of an uncured concrete surface includes a control and a plurality of sensors. The sensors are disposed at the screeding machine, which has a screed head assembly that is movable over uncured concrete to screed the concrete surface. The sensors include elevation sensors that sense an elevation of the screed head assembly relative to a reference plane established at the concrete area. The control processes data captured by said plurality of sensors while the screeding machine is screeding the uncured concrete surface. Responsive to the data processing of captured data, the control estimates a flatness or levelness or quality of the surface of the concrete being screeded. While the screeding machine is screeding the uncured concrete surface, the control generates an output indicative of the estimated flatness or levelness or quality of the surface.

A system comprises a computer including a processor and a memory. The memory includes instructions such that the processor is programmed to receive sensor data including wheel speed measurements, suspension displacement measurements, and tire leak detection data from a vehicle, estimate a rough road measurement based on a deviation of a wheel speed with respect to an average wheel speed and or based on suspension displacement sensor signals and generate temporal spatial map data indicative of a location and a roughness severity metric of a roadway portion based on the rough road measurement and tire leak detection data.

A system comprises a computer including a processor and a memory. The memory includes instructions such that the processor is programmed to receive sensor data including wheel speed measurements, suspension displacement measurements, and tire leak detection data from a vehicle, estimate a rough road measurement based on a deviation of a wheel speed with respect to an average wheel speed and or based on suspension displacement sensor signals and generate temporal spatial map data indicative of a location and a roughness severity metric of a roadway portion based on the rough road measurement and tire leak detection data.

In the method for operating a movable compaction device (10) during material compaction work the moisture content of the material to be compacted is monitored. The method comprises the steps of defining a compaction performance index for the material (100) to be compacted, said compaction performance index being an electromagnetic character correlating with the volumetric moisture content of the material, determining the compaction performance index value in a number of survey points of the material to be compacted during compaction work using electromagnetic measurement device and controlling the operation on the compaction device based on determined compaction performance index values. Determination of the compaction performance index includes sending at east one wideband electromagnetic pulse to the material to be compacted with a ground penetrating radar, receiving a reflected signal, measuring the power spectral density and peak to peak amplitude from the reflected signal and calculating the compaction performance index by using the measured density and amplitude.

In the method for operating a movable compaction device (10) during material compaction work the moisture content of the material to be compacted is monitored. The method comprises the steps of defining a compaction performance index for the material (100) to be compacted, said compaction performance index being an electromagnetic character correlating with the volumetric moisture content of the material, determining the compaction performance index value in a number of survey points of the material to be compacted during compaction work using electromagnetic measurement device and controlling the operation on the compaction device based on determined compaction performance index values. Determination of the compaction performance index includes sending at east one wideband electromagnetic pulse to the material to be compacted with a ground penetrating radar, receiving a reflected signal, measuring the power spectral density and peak to peak amplitude from the reflected signal and calculating the compaction performance index by using the measured density and amplitude.

A road manager system and method to identify a road surface property in a convenient and stable manner, including a vehicle positional information sensor and road surface condition sensor; a server computer that manages a road surface property; and a client computer that accesses the server computer. The server computer carries out processing of receiving, from the vehicle, permission information regarding provision of road surface condition information; receiving the road surface condition information transmitted from the vehicle, in which output information from the positional information sensor and output information from the road surface condition sensor are associated with each other; identifying, using output information from the road surface condition sensor, the road surface property of the road identified by the output information from the positional information sensor; and displaying the road surface property on the client computer in response to a request from the client computer.

A sensing apparatus for detecting speed bumps or potholes on a road is disclosed. The sensing apparatus comprises a telemetric sensing system configured to collect a plurality of position vectors by telemetric sensing of a road surface, wherein each position vector extends from a common origin to a respective point on the road surface and wherein each position vector has a length and a direction. The sensing apparatus further comprises a processing circuitry configured to detect a road flatness exception by evaluating the lengths of the position vectors. Thus, an improved apparatus for detecting road irregularities such as speed bumps or potholes on a road is provided. The sensing apparatus remains functional in low light conditions, e.g., at night, and also in the presence of reverberation of the vehicle. In an implementation form, the telemetric sensing system may comprise one or more radar sensors and/or one or more lidar sensors for collecting the plurality of position vectors using radar and/or lidar measurements.