Keywords: vehicle, dynamic, pavement, roughness, random Introduction 1 In general, during the vehicle project and design development phase, the automotive industry utilizes a combination of design tools Statistical analysis of vehicles' vibration due to road roughness using radial basis artificial neural network. 15, No. 9 1. T he RBNN is employe d to predict desired values of amplitude of acceleration f or di eren t road conditions such as concrete, vehicles for calculation of ground vibration was presented and four degree of freedom half car model established. Applied Artificial Intelligence: Vol. (2001). Statistical analysis of vehicles' vibration due to road roughness using radial basis artificial neural network Response spectrum of ground vibration was found and experimental work has done (Hunt 1989). undulated asphalted road, the first vehicle vibration mode has a significant motion amplification, which may cause passenger discomfort. 4, pp. Vehicle localization using its vibration caused by road surface roughness Abstract: This paper describes a study of vehicle localization using its vibration due to road surface roughness. Keywords: vehicle, dynamic, pavement, roughness, random In this paper, the mechanical and mathematical models of the half-car, five degrees of freedom (DOF) of a vehicle were established, as well as the pseudoexcitation model of road conditions for the front wheel and the rear wheel. Introduction. The researches can generally be categorized under nine headings : the effect of suspension systems, road surface roughness, bridge span length, vehicle braking, axle spacing, gross vehicle weight, vehicle speed, unit mass of bridge and bridge damping. 419-427. At 120 km/h in an undulated asphalted road, the first vehicle vibration mode has a significant motion amplification, which may cause passenger discomfort. The vehicle driving comfort has become one of the important factors of vehicle quality and receives increasing attention. Random road surface roughness is described by its power spectrum, and the dynamic response of vehicles to the road roughness is The authors suggest a vehicle localization scheme in which a vehicle can identify its location on the road. 1. INTRODUCTION 1.1. T his article investigate s the variation of vertica l vibrations of vehicles using a Radia l Basis Neural Network (RBNN). The results show that at low speed, the vehicle suspension mode is magnified due to the unpaved track signature. The problem of bridge vibration caused by a moving vehicle has been studied extensively in the past. RIDE VIBRATION - A SERIOUS HEALTH AND SAFETY RISK Road roughness is source of vibration in vehicles and a well-known cause of wear and damage to sensitive payloads1 , to the vehicle itself, as well as to bridges and pavements.