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UAV-Assisted Vehicular Network
The dataset used in this paper is a Markov decision process (MDP) problem, where the UAV jointly adjusts its transmission control (power and channel) and 3D flight to maximize... -
ST-GIN: An Uncertainty Quantification Approach in Traffic Data
Traffic data serves as a fundamental component in both research and applications within intelligent transportation systems. However, real-world transportation data, collected... -
Deep Q-Networks for Intelligent Transportation Systems
The dataset is used for Deep Q-Networks (DQN) to optimize real-time traffic light control policies in emerging large-scale Intelligent Transportation Systems. -
Mesoscopic Transportation Network
The dataset used in the paper is a mesoscopic transportation network consisting of one origin node, one destination node, and a set of three available arcs for commuters to... -
Urban Traffic Flow Forecast Based on FastGCRNN
Traffic forecasting using timely information provided by Internet of Things technology(IoT) is an important prerequisite for the application of intelligent transportation...