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TRAFFIC MODELING OF INTERSECTIONS ON VAJNORSKÁ STREET IN BRATISLAVA
A systematic literature review of vehicle speed assistance in intelligent transportation system
Evaluation of data‐driven performance measures for comparing and ranking traffic bottlenecks
C‐ITS road‐side unit deployment on highways with ITS road‐side systems: A techno‐economic approach
An agile vehicle‐based dynamic user equilibrium scheme for urban traffic signal control
P&RPARKINGANDBIKE-SHARINGSYSTEMASSOLUTIONSSUPPORTINGTRANSPORTACCESSIBILITYOFTHECITY
ROUNDABOUTS IN JAPAN – SURVEYING, PROBLEMS AND ISSUES
CARGO TRANSPORT ON THE EXAMPLE OF A SELECTED MODE OF TRANSPORT IN POLAND
A deep network with analogous self‐attention for short‐term traffic flow prediction
RESEARCH OF ENGINEERING TRAFFIC IN COMPUTER UZ NETWORK USING MPLS TE TECHNOLOGY
THE ROAD SAFETY AT TURBO ROUNDABOUTS IN POLAND
METHOD FOR IDENTIFYING HAZARDOUS ROAD LOCATIONS AT THE INTERSECTION OF TRAMLINES AND ROAD TRAFFIC
High‐performance traffic speed forecasting based on spatiotemporal clustering of road segments
ANALYSIS OF THE RAIL CARGO TRANSPORT VOLUME IN POLAND IN 2010-2021
Ego‐lane index‐aware vehicular localisation using the DeepRoad Network for urban environments
REVIEW AND COMPARISON OF TRAFFIC CALMING SOLUTIONS: MEXICO CITY AND KATOWICE
Experimental study on driver’s mental load in hairpin curves of mountainous highway
Studying Sea Waterway System with the Aid of Computer Simulation Methods
An HSS‐based robust and lightweight multiple group authentication for ITS towards 5G
Conditions of Safe Ship Operation in Seaports – Optimization of Port Waterway Parameters
ASSESSMENT OF PSYCHOTECHNICAL PARAMETERS OF VEHICLE DRIVERS ON ROUNDABOUT HITACHI TAGA, JAPAN
Intelligent IoT systems for traffic management: A practical application
Social graph convolutional LSTM for pedestrian trajectory prediction
Study of driver behaviour at turbo-roundabouts
Multi‐scale pedestrian detection based on self‐attention and adaptively spatial feature fusion
Real‐time CVSA decals recognition system using deep convolutional neural network architectures
Robust temporal low‐rank representation for traffic data recovery via fused lasso