LSTM network: a deep learning approach for short-term traffic forecast
Traffic light control using deep policy-gradient and value-function-based reinforcement learning
Combining weather condition data to predict traffic flow: a GRU-based deep learning approach
Deep learning methods in transportation domain: a review
Robust control of heterogeneous vehicular platoon with uncertain dynamics and communication delay
Comprehensive survey on security services in vehicular ad-hoc networks
Big Data for transportation and mobility: recent advances, trends and challenges
En route truck–drone parcel delivery for optimal vehicle routing strategies
Hybrid dual Kalman filtering model for short-term traffic flow forecasting
Cryptographic keys exchange model for smart city applications
Urban rail transit passenger flow forecast based on LSTM with enhanced long-term features
Hyper-parameters optimisation of deep CNN architecture for vehicle logo recognition
Multi-graph convolutional network for short-term passenger flow forecasting in urban rail transit
Smart parking sensors, technologies and applications for open parking lots: a review
Power quality improvement in smart grids using electric vehicles: a review