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Showing 1 to 3 of 3 for “"travel time modeling"”.

  1. Appling Machine and Statistical Learning Techniques to Intelligent Transport Systems: Bottleneck Identification and Prediction, Dynamic Travel Time Prediction, Driver Run-Stop Behavior Modeling, and Autonomous Vehicle Control at Intersections

    … less than 0.001. We next address the issue of travel time modeling. We propose algorithms to model travel time using various machine learning and statistical learning techniques. We obtain travel time models by employing the historical spatiotemporal speed matrices in conjunction with our …

    vt Repository record for Appling Machine and Statistical Learning Techniques to Intelligent Transport Systems: Bottleneck Identification and Prediction, Dynamic Travel Time Prediction, Driver Run-Stop Behavior Modeling, and Autonomous Vehicle Control at Intersections (opens in a new tab)

  2. Exploring Travel Time Reliability Using Bluetooth Data Collection: A Case Study in San Luis Obispo, California

    … technology applications have improved travel time data collection efforts and allowed for collection of large data sets at a low cost per data unit. Mean travel times between pairs of points are available, but the primary value of this technique is the availability of the entire …

    calpoly Repository record for Exploring Travel Time Reliability Using Bluetooth Data Collection: A Case Study in San Luis Obispo, California (opens in a new tab)

  3. Smart City Energy Efficient Multi-Modal Transportation Modeling and Route Planning

    … We develop different models to predict bike travel times for use in bike share systems (BSSs) using random forest (RF), least square boosting (LSBoost), and artificial neural network (ANN) techniques. We also use cycling Global Positioning System (GPS) data collected from 10 people (3 females …

    vt Repository record for Smart City Energy Efficient Multi-Modal Transportation Modeling and Route Planning (opens in a new tab)