9 datasets found

Formats: JSON Tags: Intelligent Transportation Systems

Filter Results

  • T-6

    Real datasets extracted from GPS trajectories of 536 cabs in the San Francisco Bay Area over 30 days

  • T-5

    Real datasets extracted from GPS trajectories of 536 cabs in the San Francisco Bay Area over 30 days

  • T-4

    Real datasets extracted from GPS trajectories of 536 cabs in the San Francisco Bay Area over 30 days

  • T-3

    Real datasets extracted from GPS trajectories of 536 cabs in the San Francisco Bay Area over 30 days

  • T-2

    Real datasets extracted from GPS trajectories of 536 cabs in the San Francisco Bay Area over 30 days

  • T-1

    Real datasets extracted from GPS trajectories of 536 cabs in the San Francisco Bay Area over 30 days

  • 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.

  • 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...
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