Estimating Queue Length under Connected Vehicle Technology
Estimating Queue Length under Connected Vehicle Technology
Using Probe Vehicle, Loop Detector, Fused Data
- New search for: Li, Jing-Quan
- New search for: Zhou, Kun
- New search for: Shladover, Steven E.
- New search for: Skabardonis, Alexander
- New search for: Li, Jing-Quan
- New search for: Zhou, Kun
- New search for: Shladover, Steven E.
- New search for: Skabardonis, Alexander
With the emergence of connected vehicle technology, the use of probe trajectory data to estimate queue length has recently received considerable attention. Unlike data collected by loop detectors, probe trajectory data can provide a lower bound on the queue length even if the market penetration rate is low. An event-based method is developed: it uses both probe trajectory and signal timing data to estimate queue length, and the estimation accuracy under different market penetration rates is examined. A data fusion method is developed: it combines probe trajectory data and loop detector data, and the situation in which the data fusion method is expected to work well is investigated. Case studies are conducted with microscopic simulation data, and some observations are made.
Document information
Estimating Queue Length under Connected Vehicle Technology
Using Probe Vehicle, Loop Detector, Fused Data
Transportation Research Record
Transportation Research Record: Journal of the Transportation Research Board ; 2366 , 1 ; 17-22
2013-01-01
Article (Journal)
Electronic Resource
English
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