COLLABORATE. INNOVATE. EDUCATE. A Web-based Tool for Visualization of Transit Modeling Results and Data Alireza Khani, Greg Abram, Natalia Ruiz Juri and Jennifer Duthie 15 th National Transportation Planning Application Conference May 20, 2015, Atlantic City, NJ
COLLABORATE. INNOVATE. EDUCATE. A Web-based Tool for Visualization of FAST-TrIPs Results and Data Flexible Assignment and Simulation Tool for Transit and Intermodal Passengers
COLLABORATE. INNOVATE. EDUCATE. FAST-TrIPs GTFS data as input Schedule-based Models individual passengers Logit model for passenger route choice Vehicle capacity constraints 3 Open-source
COLLABORATE. INNOVATE. EDUCATE. Transit Vehicle Trajectories Trip ID Route ID Stop ID Arrival Time # Board # Alight Dwell [sec] :34: :37: :39: :04: :08: :09: *Select columns shown
COLLABORATE. INNOVATE. EDUCATE. 469 Passenger Trajectories IDODDep Time Board Trips Board Stops Alight Stops : : , , , :
COLLABORATE. INNOVATE. EDUCATE. The Viz Tool 6
COLLABORATE. INNOVATE. EDUCATE. Framework Components 7
COLLABORATE. INNOVATE. EDUCATE. Route Measures - Ridership 8
COLLABORATE. INNOVATE. EDUCATE. Route Measures - Crowding 9
COLLABORATE. INNOVATE. EDUCATE. Route Measures - Feeds 10
COLLABORATE. INNOVATE. EDUCATE. Route Measures - Stops 11
COLLABORATE. INNOVATE. EDUCATE. Stop Measures – Dwell Time, Boarding/Alighting 12
COLLABORATE. INNOVATE. EDUCATE. Transit Paths 13
COLLABORATE. INNOVATE. EDUCATE. Transit Origin-Destination Demand Destinations Origins a.m a.m.
COLLABORATE. INNOVATE. EDUCATE. Add other data sources (e.g., AVL, APC) Visualize reliability Add animation Chart tool Network editing Future Work Time (hour after midnight) Distance
COLLABORATE. INNOVATE. EDUCATE. Questions? Jen Duthie Alireza Khani