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Vehicle detection systems for intelligent driving using deep convolutional neural networks
Using supervised machine learning algorithms in pavement degradation monitoring
Using reinforcement learning to minimize taxi idle times
Truck industry classification from anonymous mobile sensor data using machine learning
The impact of the combination equilibrium of horizontal and sag-vertical curves on safety
SUST-DDD: A Real-Drive Dataset for Driver Drowsiness Detection
Studying the capabilities of the analytical system based on the machine learning method
Representative truck activity patterns from anonymous mobile sensor data
Reliability of electric vehicle charging infrastructure: A cross-lingual deep learning approach
Reinforcement learning-enabled genetic algorithm for school bus scheduling
Propeller optimization by interactive genetic algorithms and machine learning
Predicting the traction power of metropolitan railway lines using different machine learning models
Identifying traffic conditions from non-traffic related sources
Identification of optimal locations of adaptive traffic signal control using heuristic methods
How machine learning informs ride-hailing services: A survey
GraphCast for solving the air transportation nexus among safety, efficiency, and resilience
EVALUATION OF OBSERVATION PARAMETERS BY REDUCTION METHOD
Estimating the effect of biofouling on ship shaft power based on sensor measurements
Estimating cycle-level real-time traffic movements at signalized intersections
Electric vehicle charging demand forecasting using deep learning model
Driver’s black box: a system for driver risk assessment using machine learning and fuzzy logic
Development of a global road safety performance function using deep neural networks
Detection of Motorcycle Headlights Using YOLOv5 and HSV
Deep hybrid learning framework for spatiotemporal crash prediction using big traffic data
Deep Architecture for Citywide Travel Time Estimation Incorporating Contextual Information