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Visual Analytics for Large Scale Travel Models

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Daniel Florian

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Visual Analytics for Large Scale Travel Models

  1. 1. Visual Analytics for Large-Scale Travel Models Daniel Florian | dan@inrosoftware.com
  2. 2. Software for transportation forecasting, traffic simulation and mobility analytics www.inrosoftware.com Transportation forecasting Multiscale Traffic Simulation Visual analytics for large- scale spatial and mobility data
  3. 3. New Generation Travel Models Travel models are increasingly disaggregate • 30 Activity Based Models (ABM) underway in North America • Tour-based models in Australia • Generally increasing market segmentation, temporal and spatial resolution Data produced is on a different scale: • Seattle ABM ~ 3 million people, 14 million activities, 1.6 million parcels • Phoenix ABM ~ 4 million people, 20 million activities, 26000 MAZs
  4. 4. Challenges Working with disaggregate mobility data • Computationally intensive  Processing  Querying  Visualizing • Aggregations  All aggregations result in data loss  Time consuming • Reproducibility • Mobility vs Spatial
  5. 5. Large-scale Traffic Simulation Models • Metropolitan to regional scale • Higher realism/fidelity “operational” models • Desire to inform demand models with traffic simulation Data produced is on a different scale: • San Francisco ~ 700,000 veh demand • Seattle ~ 460,000 vehicles veh demand
  6. 6. Other models and mobility data • Passive mobility data collection  AVL, AFC  Cell, GPS  Trajectories • Commercial freight and goods data • Household travel surveys • Mobile phones -> demand • Land-use models • We need  Methods to explore this data  And tools to work with them efficiently
  7. 7. A Lot of Model Data Still Goes Unseen • Meaningful data from models, but very disaggregate Opportunities • Validation and QA • Decision support and planning with integrated models • “Socialization” of models
  8. 8. Visual analytics for large-scale spatial and mobility data • Animate large-scale data sets in 3D • Explore, chart and analyze data through interactive visual queries • Detailed and responsive scenes at the metropolitan and regional level with millions of geometries in the frame • Filter, color, query, chart • Reproducible visual analytics with Python CityPhi
  9. 9. Software for transportation forecasting, traffic simulation and mobility analytics www.inrosoftware.com Transportation forecasting Multiscale Traffic Simulation Visual analytics for large- scale spatial and mobility data

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