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Article . 2023
License: CC BY
Data sources: Datacite
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Article . 2023
License: CC BY
Data sources: Datacite
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Analysing Connected Car Data to Understand Vehicular Route Choice

Authors: Karikari, Elliot; Prédhumeau, Manon; Baudains, Peter; Manley, Ed;

Analysing Connected Car Data to Understand Vehicular Route Choice

Abstract

This paper motivates the use of GPS traces to better understand the complexities of driver behaviour and movement, and introduces a new car trajectories dataset. This dataset, provided via the ESRC Consumer Data Research Centre, consist of connected car data for 50,000 vehicles over one month. We propose to analyse route choice through six cardinal statistical measures including travel distance, travel time, stop time, number of turns, angular deviation, and sinuosity. We report preliminary results on a 450 trips sample and aim to extend the analysis to the entire dataset to better understand how individuals navigate in their daily journeys.

Keywords

Connected Vehicle, Geospatial Big Data, Driver Behaviour

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selected citations
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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).
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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.
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