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Coordinated merge control based on V2V communication

Authors: Fang-Chieh Chou; Steven E. Shladover; Gaurav Bansal;

Coordinated merge control based on V2V communication

Abstract

Merging of entering traffic is one of the primary causes of traffic congestion on freeways. If the movements of the vehicles entering the freeway can be coordinated in advance with the movements of the vehicles already driving along the mainline freeway, the disturbances in vehicle speed at the merge point can be reduced, leading to reductions in congestion and travel delay. These effects are modeled here using a high-fidelity traffic microsimulation model. The effects are simulated for a baseline case with conventional manual merging as well as cases with 50%, 60%, 75% and 100% market penetration of vehicles equipped with V2V coordination and automated merge control capabilities. The effects of V2V communication limitations (delays and packet losses) and vehicle location measurement errors are also assessed.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
32
Top 10%
Top 10%
Top 10%
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