Systems and methods are disclosed for estimating slipperiness of a road surface. This estimate may be obtained using an image sensor mounted on a vehicle. The estimated road slipperiness may be utilized when calculating a risk index for the road, or for an area including the road. If a predetermined threshold for slipperiness is exceeded, corrective actions may be taken. For instance, warnings may be generated to human drivers that are in control of driving vehicle, and autonomous vehicles may automatically adjust vehicle speed based upon road slipperiness detected.

Systems and methods are disclosed for estimating slipperiness of a road surface. This estimate may be obtained using an image sensor mounted on a vehicle. The estimated road slipperiness may be utilized when calculating a risk index for the road, or for an area including the road. If a predetermined threshold for slipperiness is exceeded, corrective actions may be taken. For instance, warnings may be generated to human drivers that are in control of driving vehicle, and autonomous vehicles may automatically adjust vehicle speed based upon road slipperiness detected.

The invention relates to a system for measuring real-time aerodynamic drag of a moving vehicle, for example, a bicycle and rider. The system comprises a processor and a non-transitory computer medium for storing data. Further, it comprises a single, compact, multi-port measurement system (MPMS) comprised of at least two differential pressure sensors electrically connected to the processor and the non-transitory computer-readable medium, wherein the processor is configured to convert a first differential air pressure from a first sensor to a wind speed, and to convert a second differential air pressure from a second sensor to a wind direction. The system further comprises a plurality of sensors for detecting forces, including barometric pressure, air temperature and relative humidity, distance, and speed, surrounding the moving vehicle. The plurality of sensors are electrically connected to the processor and the non-transitory computer-readable medium, and also store data.

The invention relates to a system for measuring real-time aerodynamic drag of a moving vehicle, for example, a bicycle and rider. The system comprises a processor and a non-transitory computer medium for storing data. Further, it comprises a single, compact, multi-port measurement system (MPMS) comprised of at least two differential pressure sensors electrically connected to the processor and the non-transitory computer-readable medium, wherein the processor is configured to convert a first differential air pressure from a first sensor to a wind speed, and to convert a second differential air pressure from a second sensor to a wind direction. The system further comprises a plurality of sensors for detecting forces, including barometric pressure, air temperature and relative humidity, distance, and speed, surrounding the moving vehicle. The plurality of sensors are electrically connected to the processor and the non-transitory computer-readable medium, and also store data.

The present disclosure discloses a reciprocating rock fracture friction-seepage characteristic test device and method. The test device includes an X-axis shear system, a Y-axis stress loading system, a Z-axis stress loading system, a servo oil source system, 5 a pore pressure loading system, and a host. The X-axis shear system includes an X-axis EDC controller, an upper shear box, a lower shear box, an X-axis left hydraulic cylinder, an X-axis right hydraulic cylinder, an X-axis left pressure head, an X-axis right pressure head, an X-axis left pressure sensor, an X-axis right pressure sensor, an X-axis displacement sensor, and an X-axis 10 displacement sensor. The pore pressure loading system includes an air cylinder, a pressure gauge, a pressure reducing valve, a fluid inlet pipeline, a fluid outlet pipeline, and a flowmeter.

The present disclosure discloses a reciprocating rock fracture friction-seepage characteristic test device and method. The test device includes an X-axis shear system, a Y-axis stress loading system, a Z-axis stress loading system, a servo oil source system, 5 a pore pressure loading system, and a host. The X-axis shear system includes an X-axis EDC controller, an upper shear box, a lower shear box, an X-axis left hydraulic cylinder, an X-axis right hydraulic cylinder, an X-axis left pressure head, an X-axis right pressure head, an X-axis left pressure sensor, an X-axis right pressure sensor, an X-axis displacement sensor, and an X-axis 10 displacement sensor. The pore pressure loading system includes an air cylinder, a pressure gauge, a pressure reducing valve, a fluid inlet pipeline, a fluid outlet pipeline, and a flowmeter.

Techniques are described for dynamically selecting vehicles to perform road friction probing maneuvers and estimating road friction based on sensor data collected while a vehicle performs the road friction probing maneuvers. In one example, a computing system is configured to select, from a plurality of vehicles, based on an amount of elapsed time since each respective vehicle of the plurality of vehicles has performed a road friction probing maneuver, a vehicle to perform the road friction probing maneuver within a road segment of a roadway, and responsive to selecting the vehicle, output, to the vehicle, a command causing the vehicle to perform the road friction probing maneuver within the road segment.

Techniques are described for dynamically selecting vehicles to perform road friction probing maneuvers and estimating road friction based on sensor data collected while a vehicle performs the road friction probing maneuvers. In one example, a computing system is configured to select, from a plurality of vehicles, based on an amount of elapsed time since each respective vehicle of the plurality of vehicles has performed a road friction probing maneuver, a vehicle to perform the road friction probing maneuver within a road segment of a roadway, and responsive to selecting the vehicle, output, to the vehicle, a command causing the vehicle to perform the road friction probing maneuver within the road segment.

A measurement system and a method for measuring a coefficient of friction on a slidable conveyor belt in a direction of movement are provided. The system includes a disk floatingly placed on the conveyor belt and having a bottom surface, wherefrom projects at least one rounded element that rests on the conveyor belt, having a shape that, regardless of the relative orientation of the disk and the conveyor belt, at least one rounded element extends along a direction not parallel to the direction of movement, a pair of abutment elements maintaining the disk fixed with respect to the direction of movement of the conveyor belt, and a pair of load cells operatively associated with the abutment elements and with the disk, to measure a thrust force exerted by the disk on each load cell by effect of the relative sliding of the conveyor belt with respect to the disk.

A measurement system and a method for measuring a coefficient of friction on a slidable conveyor belt in a direction of movement are provided. The system includes a disk floatingly placed on the conveyor belt and having a bottom surface, wherefrom projects at least one rounded element that rests on the conveyor belt, having a shape that, regardless of the relative orientation of the disk and the conveyor belt, at least one rounded element extends along a direction not parallel to the direction of movement, a pair of abutment elements maintaining the disk fixed with respect to the direction of movement of the conveyor belt, and a pair of load cells operatively associated with the abutment elements and with the disk, to measure a thrust force exerted by the disk on each load cell by effect of the relative sliding of the conveyor belt with respect to the disk.