Modelling and determination of heavy-duty vehicle driver visual field in the virtual environment-Reference-Cited by-同舟云学术

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Modelling and determination of heavy-duty vehicle driver visual field in the virtual environment

Published:2022-09-14 Issue: Volume: Page:
ISSN:1868-5137
Container-title:Journal of Ambient Intelligence and Humanized Computing
language:en
Short-container-title:J Ambient Intell Human Comput

Author:

Stojanovic Nadica,Ghazaly Nouby M.,Grujic Ivan^ORCID,Boskovic Bojana

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Link

https://link.springer.com/content/pdf/10.1007/s12652-022-04397-5.pdf

Reference48 articles.

1. Buch TS, Jensen SU (2017) Incidents between straight-ahead cyclists and right-turning motor vehicles at signalised junctions. Accid Anal Prev 105:44–51. https://doi.org/10.1016/j.aap.2016.07.035

2. Chaffin BD (2007) Human motion simulation for vehicle and workplace design. Hum Factors Ergon Manuf 17:475–484. https://doi.org/10.1002/hfm.20087

3. Cheng YK, Wong KH, Tao CH, Tam CN, Tam YY, Tsang CN (2016) Front blind spot crashes in Hong Kong. Forensic Sc Int 266:102–108. https://doi.org/10.1016/j.forsciint.2016.05.013

4. Danish Road Directorate (2015) Prevent right-turn accidents. Copenhagen, Denmark, pp 2–15

5. Ekroll V, Svalebjørg M, Pirrone A, Böhm G, Jentschke S, van Lier R, Wagemans J, Høye A (2021) The illusion of absence: how a common feature of magic shows can explain a class of road accidents. Cogn Res 6:22. https://doi.org/10.1186/s41235-021-00287-0

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