ML applications in transportation system analysis and decision making
Sean Qian Director, Mobility Data Analytics Center Assistant Professor, CEE & Heinz seanqian@cmu.edu
ML applications in transportation system analysis and decision - - PowerPoint PPT Presentation
ML applications in transportation system analysis and decision making Sean Qian Director, Mobility Data Analytics Center Assistant Professor, CEE & Heinz seanqian@cmu.edu Decisions Smart decision making How to reduce crash
Sean Qian Director, Mobility Data Analytics Center Assistant Professor, CEE & Heinz seanqian@cmu.edu
signage inventory
FLOW (veh/hour) DENSITY (veh/mile) SPEED (miles/hour) Travel time (min)
Intersections Highways/Arterial roads
Others?
Spatio-temporal flow
Turning flow (veh/sec) Pedestrians Bicyclists
http://publish.illinois.edu/shimao-fan/research/generic-second-order-models/
Capacity Congestion Free-flow
Slope = speed
(~density)
coupled loop detectors
load cells Imaging based Weigh-in-motion
strong winds, etc.
Intersection Freeway
Earth’s magnetic field Ferrous object Distorted field
running average seconds z axis measurement as vehicle goes over node
and travel time Departure Time Arrival time
t x v
temporal resolutions (5-min, lat/log)
Statewide mainlines City streets Multi- modal Data sharing Data learning and forecast Transportation system management PeMS × × × RITIS × × × × DriveNet × × × 511PA × × Google Map × × × MAC × × × × × ×