LSTM network: a deep learning approach for short‐term traffic forecast
LSTM network: a deep learning approach for short-term traffic forecast
Combining weather condition data to predict traffic flow: a GRU‐based deep learning approach
Combining weather condition data to predict traffic flow: a GRU-based deep learning approach
Robust control of heterogeneous vehicular platoon with uncertain dynamics and communication delay
Big Data for transportation and mobility: recent advances, trends and challenges
Traffic light control using deep policy‐gradient and value‐function‐based reinforcement learning
Multi‐graph convolutional network for short‐term passenger flow forecasting in urban rail transit
Comprehensive survey on security services in vehicular ad-hoc networks
En route truck–drone parcel delivery for optimal vehicle routing strategies
En route truck–drone parcel delivery for optimal vehicle routing strategies
Short‐term traffic forecasting using self‐adjusting k‐nearest neighbours
Smart parking sensors, technologies and applications for open parking lots: a review
Smart parking sensors, technologies and applications for open parking lots: a review
Hybrid dual Kalman filtering model for short‐term traffic flow forecasting
Real-time detection of distracted driving based on deep learning