Vehicle-to-vehicle (V2V) communications alone could provide enough information to replace or supplement existing traffic monitoring systems.

Researchers developed and assessed a distributed framework for network-wide traffic monitoring and platoon information aggregation from V2V communications via dedicated short-range communications (DSRC).


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Lesson Learned

Speed accuracy: Simulation results show that a positive correlation exists between speed estimation accuracy and the g/C ratio. When g/C<1 (with traffic signals), results show very large relative errors in speed compared to when g/C=1 (without traffic signals). Traffic signals lead to speed fluctuations from stop-and-go traffic and make it more difficult for algorithms in the distributed monitoring system to split platoons.

Density accuracy: While the researchers found clear patterns between g/C and speed accuracy, no clear patterns were found between g/C ratio and density estimation accuracy. Generally, dense and uniformly distributed traffic lead to high density estimation accuracy.

Coverage ratio: Finally, except for one of the four traffic scenarios (high speed low demand), a positive correlation was found between the coverage ratio and the g/C ratio for the downstream segment only. The g/C ratio did not appear to significantly affect the upstream coverage ratio.

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Impacts Of Traffic Signal Controls On A Distributed Traffic Monitoring System Using V2V Communications: Final Report

Author: Lou, Yingyan and Peiheng Li

Published By: University of Nevada

Source Date: 09/01/2018

URL: http://scholar.google.com/scholar_url?url=https://rosap.ntl.bts.gov/view/dot/37003/dot_37003_DS1.pdf&hl=en&sa=X&d=9136432133966658742&scisig=AAGBfm1Ss6sZJG-Ix8qqcFoFaL3iBtxdTA&nossl=1&oi=scholaralrt&hist=_KlcZhoAAAAJ:12144774756612947388:AAGBfm1edK4tGwg1S0R2yk90nG4Utjb9pQ

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Lesson ID: 2019-00926