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Procedia - Social and Behavioral Sciences
Article . 2012 . Peer-reviewed
License: CC BY NC ND
Data sources: Crossref
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Travel Time in Case of Accident Prediction Model

Authors: DOMENICHINI, LORENZO; SALERNO, GIORGIO; FANFANI, FRANCESCO; M. BACCHI; GIACCHERINI, ANDREA; L. COSTALLI; C. BARONCELLI;

Travel Time in Case of Accident Prediction Model

Abstract

AbstractThe aim of this paper is to estimate the travel time along a motorway section, both in undisturbed condition and taking into account a perturbation due to an accident. The estimated travel time is calculated adding the travel time under normal traffic conditions, the time used settling the accident area and the time needed to dissolve the queue. To be applied the model requires the knowledge of accident characteristics, the traffic flow at the accident time and the value of the reduced capacity during the accident management. The model refers to traffic conditions and accident management procedures typical of motorways.

Country
Italy
Related Organizations
Keywords

travel time prediction; accident duration; accident management systems; BPR curves calibration; prediction model, Travel time prediction, Accident management systems, Accident duration, Prediction model, BPR curves calibration

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    popularity
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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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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!
4
Average
Average
Average
Green
gold