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Travel time unreliability on freeways: Why measures based on variance tell only half the story
Accurate freeway travel time prediction with state-space neural networks under missing data
Monitoring and Predicting Freeway Travel Time Reliability: Using Width and Skew of Day-to-Day Travel Time Distribution
Two reliability metrics are proposed, based on three characteristic percentiles: the 10th, 50th, and 90th percentile for a given route and TOD-DOW period, which can be used to construct so-called reliability maps, which help identify DOW-TOD periods in which congestion will likely set in (or dissolve).
Urban link travel time estimation based on sparse probe vehicle data
Construct support vector machine ensemble to detect traffic incident
Link-level vulnerability indicators for real-world networks
Localized Extended Kalman Filter for Scalable Real-Time Traffic State Estimation
- C. P. I. V. Hinsbergen, T. Schreiter, F. Zuurbier, J. V. Lint, H. Zuylen
- Computer ScienceIEEE Transactions on Intelligent Transportation…
- 1 March 2012
The novel localized EKF (L-EKF) is proposed, a highly scalable solution to the state estimation problem that scales much better with the network size and leads to estimates with nearly the same accuracy as the G-EkF.
A framework for robustness analysis of road networks for short term variations in supply
Calibration of a microscopic simulation model for emission calculation