Video observation of encounters between the automated shuttles and other traffic participants along an approach to right-hand priority T-intersection

Abstract Introduction Increasing numbers of deployment projects of automated shuttles have been taking place worldwide. Safety is one of the main concerns for their successful implementation. Therefore, it is vital to gain the knowledge about interactions between these shuttles and other traffic par...

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Autores principales: Petr Pokorny, Belma Skender, Torkel Bjørnskau, Marjan P. Hagenzieker
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Lenguaje:EN
Publicado: SpringerOpen 2021
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Acceso en línea:https://doaj.org/article/1a7567b4301c4f0191d0a5ad62408559
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spelling oai:doaj.org-article:1a7567b4301c4f0191d0a5ad624085592021-11-28T12:14:43ZVideo observation of encounters between the automated shuttles and other traffic participants along an approach to right-hand priority T-intersection10.1186/s12544-021-00518-x1867-07171866-8887https://doaj.org/article/1a7567b4301c4f0191d0a5ad624085592021-11-01T00:00:00Zhttps://doi.org/10.1186/s12544-021-00518-xhttps://doaj.org/toc/1867-0717https://doaj.org/toc/1866-8887Abstract Introduction Increasing numbers of deployment projects of automated shuttles have been taking place worldwide. Safety is one of the main concerns for their successful implementation. Therefore, it is vital to gain the knowledge about interactions between these shuttles and other traffic participants. Method Given the lack of behavioural observational studies under regular traffic conditions, the presented study applies external video recordings to explore encounters between the shuttles approaching a T-intersection and other traffic participants. The encounters of interest included a vulnerable road user in the bicycle lane, a pedestrian on the zebra crossing and a road user overtaking the shuttle. The shuttles were identified from the video by RUBA software. We analysed the encounters using T-Analyst software together with the manual observation of traffic participants' behaviour. Results From 220 h of video, 318 unique manoeuvres of the shuttle were observed and 83 encounters with other traffic participants were identified and explored. Several types of risks and behavioural patterns were identified, such as road users misusing the defensive style of the shuttles or cyclists in the bicycle lane not being sure about the shuttle’s intention. Frequent hard stops of the shuttles might be dangerous for the passengers inside and can increase the risk of rear end accidents. Conclusions The findings provide a valuable insight into the interactions between automated shuttles and other traffic participants under regular traffic conditions on one location in Oslo, Norway. The study showed that introducing automated shuttles into regular traffic can lead to the emergence of new types of interactions between the shuttles and other traffic participants.Petr PokornyBelma SkenderTorkel BjørnskauMarjan P. HagenziekerSpringerOpenarticleAutomated shuttleVideo observationEncountersRiskTransportation engineeringTA1001-1280Transportation and communicationsHE1-9990ENEuropean Transport Research Review, Vol 13, Iss 1, Pp 1-13 (2021)
institution DOAJ
collection DOAJ
language EN
topic Automated shuttle
Video observation
Encounters
Risk
Transportation engineering
TA1001-1280
Transportation and communications
HE1-9990
spellingShingle Automated shuttle
Video observation
Encounters
Risk
Transportation engineering
TA1001-1280
Transportation and communications
HE1-9990
Petr Pokorny
Belma Skender
Torkel Bjørnskau
Marjan P. Hagenzieker
Video observation of encounters between the automated shuttles and other traffic participants along an approach to right-hand priority T-intersection
description Abstract Introduction Increasing numbers of deployment projects of automated shuttles have been taking place worldwide. Safety is one of the main concerns for their successful implementation. Therefore, it is vital to gain the knowledge about interactions between these shuttles and other traffic participants. Method Given the lack of behavioural observational studies under regular traffic conditions, the presented study applies external video recordings to explore encounters between the shuttles approaching a T-intersection and other traffic participants. The encounters of interest included a vulnerable road user in the bicycle lane, a pedestrian on the zebra crossing and a road user overtaking the shuttle. The shuttles were identified from the video by RUBA software. We analysed the encounters using T-Analyst software together with the manual observation of traffic participants' behaviour. Results From 220 h of video, 318 unique manoeuvres of the shuttle were observed and 83 encounters with other traffic participants were identified and explored. Several types of risks and behavioural patterns were identified, such as road users misusing the defensive style of the shuttles or cyclists in the bicycle lane not being sure about the shuttle’s intention. Frequent hard stops of the shuttles might be dangerous for the passengers inside and can increase the risk of rear end accidents. Conclusions The findings provide a valuable insight into the interactions between automated shuttles and other traffic participants under regular traffic conditions on one location in Oslo, Norway. The study showed that introducing automated shuttles into regular traffic can lead to the emergence of new types of interactions between the shuttles and other traffic participants.
format article
author Petr Pokorny
Belma Skender
Torkel Bjørnskau
Marjan P. Hagenzieker
author_facet Petr Pokorny
Belma Skender
Torkel Bjørnskau
Marjan P. Hagenzieker
author_sort Petr Pokorny
title Video observation of encounters between the automated shuttles and other traffic participants along an approach to right-hand priority T-intersection
title_short Video observation of encounters between the automated shuttles and other traffic participants along an approach to right-hand priority T-intersection
title_full Video observation of encounters between the automated shuttles and other traffic participants along an approach to right-hand priority T-intersection
title_fullStr Video observation of encounters between the automated shuttles and other traffic participants along an approach to right-hand priority T-intersection
title_full_unstemmed Video observation of encounters between the automated shuttles and other traffic participants along an approach to right-hand priority T-intersection
title_sort video observation of encounters between the automated shuttles and other traffic participants along an approach to right-hand priority t-intersection
publisher SpringerOpen
publishDate 2021
url https://doaj.org/article/1a7567b4301c4f0191d0a5ad62408559
work_keys_str_mv AT petrpokorny videoobservationofencountersbetweentheautomatedshuttlesandothertrafficparticipantsalonganapproachtorighthandprioritytintersection
AT belmaskender videoobservationofencountersbetweentheautomatedshuttlesandothertrafficparticipantsalonganapproachtorighthandprioritytintersection
AT torkelbjørnskau videoobservationofencountersbetweentheautomatedshuttlesandothertrafficparticipantsalonganapproachtorighthandprioritytintersection
AT marjanphagenzieker videoobservationofencountersbetweentheautomatedshuttlesandothertrafficparticipantsalonganapproachtorighthandprioritytintersection
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