Pedestrian Behavior and Interaction With Autonomous Vehicles

Lownes, Nicholas; Rezwana, Saki; Shaon, Mohammad Razaur Rahman; Jackson, Eric

i

Pedestrian Behavior and Interaction With Autonomous Vehicles

2022-09-01
By Lownes, Nicholas ; Rezwana, Saki ; Shaon, Mohammad Razaur Rahman

File Language:

English

Details

Creators:

Lownes, Nicholas ; Rezwana, Saki ; Shaon, Mohammad Razaur Rahman ; Jackson, Eric
Corporate Creators:

University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education ; University of Connecticut ; University of Connecticut. Connecticut Transportation Institute
Corporate Contributors:

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

CAMMSE-UNCC-2021-UTC-Project-06
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

Final Report
Corporate Publisher:

University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education
Abstract:

The objective of this research focuses on the following topics. The first objective is to determine the impact of autonomous vehicles on pedestrian measures such as gap acceptance, waiting time, and acceleration rate while crossing the road. This research will compare the pedestrian behavior changes with the automation level of the vehicle. The second objective is to understand the psychophysiological (e.g., Electrodermal Activity-EDA, blood pressure, and heart rate change) changes of the pedestrians' while interacting with different automation level of the vehicle. And lastly, the third objective to propose a modified social force model to quantify the variation of pedestrian behavior with the presence of AV. This study will compare the result with different age group, gender, and income with the use of virtual reality lab.
Format:

PDF
Funding:

69A3551747133
Download URL:

https://rosap.ntl.bts.gov/view/dot/64494/dot_64494_DS1.pdf
File Type:

[PDF - 917.71 KB]
Collection(s):

Autonomous Vehicles ; University Transportation Centers
Main Document Checksum:

urn:sha-512:350b9959b40b536eda556f8663f24e72b7c194468b3dda6ca1d9d20d395afb2271a776ac2a9c5075570b004bf85169fc149f4a3c7ff3308bb0abdf4effda5b6f

File Language:

English

ON THIS PAGE

Details Related Documents

Found an issue?

Send us an email at:

publishinghd@cdc.gov

ROSA P serves as an archival repository of USDOT-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by USDOT or funded partners. As a repository, ROSA P retains documents in their original published format to ensure public access to scientific information.