Summary of research on road roughness. Issue 4 (March 2020)

• Record Type: Journal Article
• Authors: Zhou, Wei; Zhu, Changjian; Li, Wen; Ge, Haoran
• Is Part Of: IOP conference series. Volume 768:Issue 4(2020)
• Publication Date: 2020-03
• Subjects: Materials science -- Periodicals; 620.1105
• DOI: 10.1088/1757-899X/768/4/042032
• Languages: English
• ISSNs: 1757-8981

Abstract

Abstract: Road roughness is a key factor affecting vehicle ride comfort and occupant comfort. It is the basis for road grade evaluation and also determines the dynamic load of the vehicle. Measuring road unevenness is often used to evaluate the quality of road construction. However, with the development of smart cars, in order to adjust the speed and suspension parameters in real time according to the road roughness, to improve the ride comfort, the method for measuring the road unevenness in real time becomes New research hotspots. This paper firstly introduces the indicators and standards for evaluating road roughness, and then summarizes the research progress and direction of road roughness from both direct measurement and indirect identification. Among them, the methods of non-direct identification of road roughness are highlighted, which are classified into laser sensor based recognition, vibration model based recognition and neural network based recognition.