A review on pavement data acquisition and analytics tools using autonomous vehicles

AbstractNowadays, road maintenance is a crucial planning task for all road authorities across the world, making them spend vast amounts of money on identification and rehabilitation programmes every year. Thus, many researchers, road engineers, and decision-makers have turned to a system called pavement management system, the critical step of which is pavement inspection. So far, several methods have been proposed for pavement distress data collection and evaluation. These methods have also evolved with the advancement of technology and intelligent transportation systems. Today, researchers have acknowledged autonomous vehicles as a sophisticated tool monitoring right of way for appropriate operating; however, little attention has been paid to using collected pavement condition data for pavement management. This study reviews the technologies and algorithms proposed so far to investigate the feasibility of using the data regularly collected by these vehicles to evaluate pavement conditions. We hope our paper paves the way for further research.KEYWORDS: Intelligent transportation systemsautonomous vehicles (AV)pavement management systemspavement distress detectionpavement condition evaluation AcknowledgmentsNo funding was received to assist with the preparation of this manuscript.Disclosure statementNo potential conflict of interest was reported by the author(s).Glossary of TermsAVAutonomous VehicleCVConnected VehicleITSIntelligent Transportation SystemsV2VVehicle-to-VehicleV2IVehicle-to – the InternetV2RVehicle-to-Road InfrastructureSAESociety of Automotive EngineersLiDARLight Detection And RangingNCHRPNational Cooperative Highway Research ProgrammeLEDLight Emitting DiodeLDRLight Dependant ResistorIPImage ProcessingCNNConvolutional Neural NetworkYOLOYou Only Look OnceLTPPLong Term Pavement PerformanceFHWAFederal Highway AdministrationXMLExtensible Markup LanguageASPRSAmerican Society for Photogrammetry and Remote SensingIMUInertial Measurement UnitVMTVehicle Miles TravelledMLMachine LearningRLReinforcement LearningSVMSupport Vector MachineUAVUnmanned Aerial VehicleANNArtificial Neural NetworksAdamAdaptive Moment EstimationSGDStochastic Gradient DescentDLDeep LearningROCReceiver Operating CharacteristicsSSDSingle Shot DetectorWTWavelet TransformationRADARoad Anomaly Detection AlgorithmRACARoad Anomaly Characterisation AlgorithmFPRFalse Positive Rate