Journal of Computational and Theoretical Nanoscience · 2020 · 58 citations · 0 references
ComputingAutomotive EngineeringComputer ScienceArtificial IntelligenceMachine LearningTransportation EngineeringDeep LearningIntelligent Transportation SystemsNeural NetworksPattern RecognitionTraffic EngineeringTraffic SafetyDeep Learning-based ClassificationDeep Learning-based DetectionIntelligent Transportation Systems AnalyticsMachine Learning For Traffic AnalysisModular Network StructureRoad Safety EngineeringSpeedTraffic Management
In Vehicles automation system, Classification and speed detection has become an important research challenge in road safety and intelligent transportation system. Many systems like pattern recognition, image processing and machine learning technologies have overcome numerous hindrances to accomplish this goal. In this paper, we demonstrate a speed detection system and vehicle type classification founded on deep learning technique. Moreover, we built up Modular Neural Network (MNN) architecture, advancement algorithm and its parameters are acquired by training dataset. This integrated part of a system will enhance to finding in automation detection and traffic flow management system.