Using Virtual Reality Techniques to Investigating Interactions Between Fully Autonomous Vehicles and Vulnerable Road Users

John, Ajuna P; Sabu, Jelin; Dong, Jiqian; Li, Yujie; Chen, Sikai; Labi, Samuel; Center for Connected and Automated Transportation (CCAT); Purdue University; University of Michigan

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Using Virtual Reality Techniques to Investigating Interactions Between Fully Autonomous Vehicles and Vulnerable Road Users

2023-06-01
By John, Ajuna P ; Sabu, Jelin ; Dong, Jiqian ; ...

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English

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Alternative Title:

Using Virtual Reality Techniques to Investigate Interactions Between Fully Autonomous Vehicles and Vulnerable Road Users
Creators:

John, Ajuna P ; Sabu, Jelin ; Dong, Jiqian ; Li, Yujie ; Chen, Sikai ; ... More +

John, Ajuna P ; Sabu, Jelin ; Dong, Jiqian ; Li, Yujie ; Chen, Sikai ; Labi, Samuel Less -
Corporate Creators:

Center for Connected and Automated Transportation (CCAT) ; Purdue University ; University of Michigan

Center for Connected and Automated Transportation (CCAT) ; Purdue University ; University of Michigan Less -
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology Less -
Subject/TRT Terms:

[+]

Autonomous Vehicle Guidance Human Factors Engineering Pedestrian Safety Pedestrian Vehicle Interface Traffic Conflicts Virtual Reality Vulnerable Road Users
Publication/ Report Number:

Report No. 62
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

Final rep., Jan 2021-June 2023
Corporate Publisher:

Center for Connected and Automated Transportation. Purdue University
Abstract:

At roadway ecosystems with frequent movement conflicts among vehicles, pedestrians, and other road users, a road user entering the location immediately triggers a vibrant exchange of informal or formal cues with other road users and the traffic environment to ensure safe and efficient movement for all the road users at that location and at that time. For such communication, the non-vehicle road users typically use informal communication mechanisms to interpret other road users’ intentions for making movement decisions. In the prospective era of FAVs (fully autonomous vehicles) that self-drive in any environment and conditions), these informal communication mechanisms will become obviated because the FAV has no human driver.
Format:

PDF
Funding:

69A3551747105
Collection(s):

University Transportation Centers
Main Document Checksum:

[+]

urn:sha256:0809d9033616268efd2111baba3a38249f831383655e6b6cd2783a170c6642b2
Download URL:

https://rosap.ntl.bts.gov/view/dot/73994/dot_73994_DS1.pdf
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Using Virtual Reality Techniques to Investigating Interactions Between Fully Autonomous Vehicles and Vulnerable Road Users

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