Vehicles · 2022 · 45 citations · 58 references
EngineeringAutomotive EngineeringAutonomous VehiclesPavement EngineeringTransportationHighway PavementsPavement FrictionPavement Skid ResistanceRoad SafetyTire MechanicsTraffic SafetyFriction MeasurementHighway EngineeringInfrastructure Condition AssessmentPavement DeteriorationPavement Friction EvaluationSurface FrictionTire FrictionTire-road Friction
Road surface friction, or in other words, a pavement’s skid resistance, is an essential attribute of highway safety, acting as a liaison between the infrastructure condition and the driver’s response to it through proper vehicle maneuvering. The present study reviews aspects related to the tire–road friction, including affecting factors, monitoring systems and related practices, and demonstrates the efficacy of using smart tires, or tires embedded with sensors, for the purpose of evaluating roadway friction levels in real-time while traveling. Such an approach is expected to assist drivers in adjusting their behavior (i.e., lowering their speed) in the event that signs of reduced skid resistance are observed in favor of road safety. The current challenges and research prospects are highlighted in terms of tire manufacturers’ perspectives as well as future mobility patterns with autonomous driving modes. Overall, smart tires are commented as a tool able to enhance drivers’ safety for both current and future mobility patterns, help to control pavement deterioration and complement existing practices for infrastructure condition assessment.
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Deep Convolutional Neural Networks for Large-scale Speech Tasks
Tara N. Sainath, Brian Kingsbury, George Saon et al. · Neural Networks · 2014 · 501 citations