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Connected and Automated Vehicle Simulation to Enhance Vehicle Message Delivery

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Advances in Human Factors in Simulation and Modeling (AHFE 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 591))

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Abstract

Increased vehicle safety is a driving force in the development of Connected Vehicle (CV) and Automated Vehicle (AV) technologies. Unlike traditional in-vehicle safety features, CV and AV technologies help avoid catastrophes all together with advanced warnings of impending danger and beyond human reaction times. Although extensive efforts are underway in the creation of CV and AV technologies, it is still unclear what the best methods are for alerting drivers to the new information they generate. For example, how should an AV keep passengers informed of where it is going and what corrective actions (e.g. lane changes) it plans to take, and how do we design these systems to engender passenger trust. This paper presents a multi-phased approach to address these issues through simulation for future evaluation and development of multimodal vehicle displays for ease of use and increased safety .

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Author information

Authors and Affiliations

  1. University of Central Florida Institute for Simulation and Training, Orlando, FL, 32826, USA

    Daniel Barber

  2. Univeristy of North Carolina at Chapel Hill, Chapel Hill, NC, 27514, USA

    Andrew Best

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  1. Daniel Barber
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  2. Andrew Best
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Correspondence to Daniel Barber .

Editor information

Editors and Affiliations

  1. RDRL-HRF-D, United States Army, Aberdeen Proving Ground, Maryland, USA

    Daniel N. Cassenti

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Barber, D., Best, A. (2018). Connected and Automated Vehicle Simulation to Enhance Vehicle Message Delivery. In: Cassenti, D. (eds) Advances in Human Factors in Simulation and Modeling. AHFE 2017. Advances in Intelligent Systems and Computing, vol 591. Springer, Cham. https://doi.org/10.1007/978-3-319-60591-3_4

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  • DOI: https://doi.org/10.1007/978-3-319-60591-3_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60590-6

  • Online ISBN: 978-3-319-60591-3

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