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  4. Analysing density and identifying lane changing behaviour using naturalistic data from a swarm of drones
 
master thesis

Analysing density and identifying lane changing behaviour using naturalistic data from a swarm of drones

Sauvin, Guillaume  
January 24, 2020

In recent years, drones have come a long way from their early expensive military implementation to today’s relative accessibility to the wider public. Video stabilization and image recognition have also been very active field of research which influence is reaching research in transportation. In this report, we identified the potential in transportation research of a large and precise dataset obtained by a swarm of drone. We examined in detail the challenges and opportunities of this new type of dataset on an example of a micro approach, in lane change phenomena, and macro approached, in effects of bus-stops on nearby traffic. Results show that despite their limitations, mainly in battery life and connectivity, swarms of drones have a great potential when it comes to micro and macro transportation studies and may soon be an integral part of any ITS infrastructure.

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Type
master thesis
Author(s)
Sauvin, Guillaume  
Advisors
Geroliminis, Nikolaos  
Date Issued

2020-01-24

Total of pages

30 pages

Written at

EPFL

EPFL units
SGC  
LUTS  
Section
GC-S  
Available on Infoscience
January 24, 2020
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/164863
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