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Freeway travel time information from input-output vehicle counts: a drift correction method based on AVI data

Author
Soriguera, F.; Martinez, M.
Type of activity
Journal article
Journal
IEEE transactions on intelligent transportation systems
Date of publication
2021-09
Volume
22
Number
9
First page
5749
Last page
5761
DOI
10.1109/TITS.2020.2992300
Project funding
Cooperative freeway driving strategies in a mixed environment driverless and traditional vehicles
Repository
http://hdl.handle.net/2117/340296 Open in new window
URL
https://ieeexplore.ieee.org/document/9094376 Open in new window
Abstract
Input-output cumulative count curves are a powerful tool to forecast freeway travel times in the very short term, as they rely on the predictive information given by the vehicles' accumulation in the target section. Therefore, they could represent a very appealing method to feed real-time traffic information systems. However, traffic detectors' count drift implies very poor accuracy in the estimation of the vehicles' accumulation, leading to completely unreliable travel time predictions. A drift...
Citation
Soriguera, F.; Martinez, M. Freeway travel time information from input-output vehicle counts: a drift correction method based on AVI data. "IEEE transactions on intelligent transportation systems", Setembre 2021, vol. 22, núm. 9, p. 5749-5761.
Keywords
AVI technologies, Cumulative count curves, Data fusion, Freeway travel time, Loop detector drift, traffic information systems
Group of research
BIT - Barcelona Innovative Transportation

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