Utilizing Vehicle Trajectory Data to Characterize Performance Measures of a Highway Corridors
summary
A 4‑intersection downtown corridor is modeled microscopically in SUMO + Omnet++ + Veins and calibrated with StreetLight probe data (turning movement counts and travel time) using an optimization routine to minimize squared travel time error, bringing medians into close agreement; validation yields GEH ≈ 5 for movements. A CV/RSU module and an incident detection and dissemination algorithm are implemented so detected crashes trigger RSU storage and broadcast to vehicles, which currently only slow or stop (no lane changes).
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chapters (8)
- 0:00Introduction
- 1:47Problem statement
- 3:30Simulation framework
- 5:18Calibration approach
- 7:48Model validation
- 8:32Connectivity simulation
- 10:39Incident detection
- 11:41Current results
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