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Road Traffic Segments Characterization

Authors: Cristian-Nicolae Babau; Raul Razvan Suditu; Marius Marcu; Vladimir-Ioan Cretu;

Road Traffic Segments Characterization

Abstract

The use of personal cars for journeys needed to carry out daily activities, such as at going to work, college or supermarket, can lead to the congestion of streets, the occurrence of road jams, the formation of endless tails at the traffic light, all of which have the effect of decreasing average travel speed. In this paper we will present an algorithm that eliminates the errors introduced by the global positioning system through map-matching, segments each route, determines the orientation of each segment and characterizes it according to some specific metrics for its analysis. Data the algorithm has been tested was taken by 3 users on their daily routes, with an Android app during the first half of 2016 in Timisoara.

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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!
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