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Procedia Computer Science
Article . 2017 . Peer-reviewed
License: CC BY NC ND
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Procedia Computer Science
Article
License: CC BY NC ND
Data sources: UnpayWall
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Modeling cooperation in unsignalized intersections

Authors: Erlend Aakre; Arvid Aakre;

Modeling cooperation in unsignalized intersections

Abstract

Abstract: The Nordic countries, among others, rely heavily on unsignalized intersections, even in congested conditions. When unsignalized intersections are blocked due to queue spillbacks from downstream bottlenecks, the intersections do not function as intended. Traditional gap acceptance models do not provide realistic results under such conditions. A combination of gap acceptance and turn-taking behavior may be observed. To meet this gap in modeling capabilities, two models have been developed. The Turn Cooperation Model (TCM) has been implemented as a standard feature in the microsimulation software Aimsun. In addition, a new analytical model is developed: The Aakre Cooperative Merge Model (ACM). In this paper, the results from TCM and ACM are compared with field observations and with results from the traditional gap acceptance approach in Aimsun. In both of the two intersections that have been studied, the TCM and ACM provide better results than the traditional gap acceptance models.

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
6
Top 10%
Top 10%
Average
gold