Real Time Fitness Analysis of Bitumen Road and Vehicle through Their Acoustic Signals

Abstract

Accidents occur due to road and vehicle conditions. Need to know how fast the vehicle is traveling on the road and how fast the vehicle is running; what speed vehicle brake system is exactly applicable. Vehicle owners and riders need to know these two things. Knowing these two things will reduce the risks by a maximum of 96%. The main reason is that the roughness of the road and the condition of the vehicle can save the global economy, improve supply time and save millions of lives if these two things are adjusted. Hence vehicle efficiency and repair cost are greatly reduced. The road roughness is good when we are traveling on the road, at that time the vehicle noise is less and the movement of vehicles is very smooth. At that time when the road roughness is average the vehicle noise will increase slightly and the movement of the vehicles will be rough. At that time when the road roughness is less than average the vehicle makes more noise and the movement of vehicles becomes more difficult. We propose a mathematical analysis of the International Roughness Index (IRI) and road roughness impedance. Scale ranges from 1 to 5 to assess road condition according to IRI. The road condition scale was excellent on the 1st, very good on the 2nd, good on the 3rd, fair on the 4th and poor on the 5th. These measured values actually calculate the road roughness impedance (RRI). If the RRI value is low, the road condition is excellent, if the RRI value is low, the road condition is good, if the RRI value is medium, if the road condition is good, if the RRI value is high, the road condition is good and if the RRI value is high the condition is low. This information and vehicle condition are displayed on the vehicle dashboard. This will enable us and the government to find out the information of the damaged roads and take immediate action to rectify the problems without making extra effort.