Abstract: A method 20 and system 10 monitor road condition, by providing, for portions (14.1-14.m) of a road 12, an approximation 210 of a roughness figure in accordance with a roughness index. The method 10 includes receiving speed data 208 of a first vehicle 16 travelling along each of the portions of the road 12 and receiving, from a measuring device 18 carried on the first vehicle 16, measured acceleration data 204 of the device 18 perpendicular to the road 12 surface. The acceleration data 204 is processed to provide a parameter value 206 relating to the acceleration data 204 for each of the portions of the road 12. A first speed-based conversion equation and the speed data 208 is utilized to convert the parameter 206 into the approximation 210 of a roughness figure for each of the portions of the road 12, in accordance with the roughness index.

Abstract: A method 20 and system 10 monitor road condition, by providing, for portions (14.1-14.m) of a road 12, an approximation 210 of a roughness figure in accordance with a roughness index. The method 10 includes receiving speed data 208 of a first vehicle 16 travelling along each of the portions of the road 12 and receiving, from a measuring device 18 carried on the first vehicle 16, measured acceleration data 204 of the device 18 perpendicular to the road 12 surface. The acceleration data 204 is processed to provide a parameter value 206 relating to the acceleration data 204 for each of the portions of the road 12. A first speed-based conversion equation and the speed data 208 is utilized to convert the parameter 206 into the approximation 210 of a roughness figure for each of the portions of the road 12, in accordance with the roughness index.

Abstract: The self-contained security device 12.1 comprises a sensor element 13 and a processor 14 connected to the sensor element for generating an intrusion message in response to a signal from the sensor element. An Internet of things (IoT) transmitter 16 is connected to the processor 14 for transmitting to a cloud-based controller 19 the intrusion message via an Internet of things communications path 18 which is provided by an Internet of things network.

Abstract: A method 20 and system 10 monitor road condition, by providing, for portions (14.1-14.m) of a road 12, an approximation 210 of a roughness figure in accordance with a roughness index. The method 10 includes receiving speed data 208 of a first vehicle 16 travelling along each of the portions of the road 12 and receiving, from a measuring device 18 carried on the first vehicle 16, measured acceleration data 204 of the device 18 perpendicular to the road 12 surface. The acceleration data 204 is processed to provide a parameter value 206 relating to the acceleration data 204 for each of the portions of the road 12. A first speed-based conversion equation and the speed data 208 is utilized to convert the parameter 206 into the approximation 210 of a roughness figure for each of the portions of the road 12, in accordance with the roughness index.