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Drone‐Based Traffic Flow Management for Smart Cities
Modelling autonomous vehicle parking: An agent‐based simulation approach
Two‐objective train operation optimization based on eco‐driving and timetabling
Contrastive learning for traffic flow forecasting based on multi graph convolution network
Sequence‐to‐sequence transfer transformer network for automatic flight plan generation
A survey on computational intelligence approaches for intelligent marine terminal operations
Real‐time multi‐objective speed planning ATO considering assist driving for subway
Prediction of the optimal hybrid train trajectory by using artificial neural network models
CO2 emissions and delivery time of last‐mile drone delivery using trucks
Deep Q‐network based multi‐layer safety lane changing strategy for vehicle platoon
Multi‐agent trajectory prediction with adaptive perception‐guided transformers
A multi‐emission‐driven efficient network design for green hub‐and‐spoke airline networks
Lag‐related noise shrinkage stacked LSTM network for short‐term traffic flow forecasting
Pedestrian intention estimation and trajectory prediction based on data and knowledge‐driven method
Augmented driver behavior models for high‐fidelity simulation study of crash detection algorithms
The effect of visibility on road traffic during foggy weather conditions
Future Impact and Challenges of Automotive Control
An optimized two‐phase demand‐responsive transit scheduling model considering dynamic demand
Traffic speed prediction using GARCH‐GRU hybrid model
Advanced algorithms for optimal meeting points in road networks
TLOF final approach methodology proposal utilizing dual landing pads
Intelligent train stopping control for railways: A deep learning approach
Graph transformer based dynamic multiple graph convolution networks for traffic flow forecasting
Meeting Privacy Concerns in Intelligent Transportation Systems
CenLight: Centralized traffic grid signal optimization via action and state decomposition
Improving traffic time‐series predictability by imputing continuous non‐random missing data
An ensemble learning method for low visibility prediction on freeway using meteorological data
Semantics analysis model based on deep learning for vessel traffic service application
Driver distraction detection via multi‐scale domain adaptation network
Hedging risks in the C‐ITS road‐side unit investment case for Flanders: A real options approach