Assessment of Pedestrian Safety and Driver Behavior Near an Automated Vehicle

Morris, Nichole L.; Craig, Curtis M.; Drahos, Bradley A; Kessler, William; Tian, Disi; University of Minnesota. Department of Mechanical Engineering. HumanFIRST Program

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Assessment of Pedestrian Safety and Driver Behavior Near an Automated Vehicle

2024-01-01
By Morris, Nichole L. ; Craig, Curtis M. ; Drahos, Bradley A ; ...

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Details:

Creators:

Morris, Nichole L. ; Craig, Curtis M. ; Drahos, Bradley A ; Kessler, William ; Tian, Disi

Morris, Nichole L. ; Craig, Curtis M. ; Drahos, Bradley A ; Kessler, William ; Tian, Disi Less -
Corporate Creators:

University of Minnesota. Department of Mechanical Engineering. HumanFIRST Program
Corporate Contributors:

Minnesota. Department of Transportation. Office of Research & Innovation
Subject/TRT Terms:

[+]

Automation Human Machine Systems Intelligent Vehicles Passing Pedestrians Traffic Queuing Vehicle Mix
Publication/ Report Number:

MN 2024-02
Resource Type:

Tech Report
Geographical Coverage:

Minnesota ; United States

Minnesota ; United States Less -
Edition:

Final Report
Corporate Publisher:

Minnesota. Department of Transportation
Abstract:

As more automated vehicles enter shared roadways, an essential aspect of automated vehicle (AV) safety is understanding the interactions between these vehicles and other road users. Anecdotal incidents about aggressive following and overtaking behaviors at crosswalks near the Med City Mover (MCM), a low-speed automated shuttle (LSAV) pilot demonstration in Rochester, MN, suggested the need for a scientific study of the behaviors of drivers of manual vehicles near the LSAV. In this report, the research team conducted a series of laboratory and field studies aimed at better understanding the safety relationship between LSAVs and the humans with whom they share the road. Overall, the studies found an increased risk of overtaking and multiple threat passing near the MCM, which may increase the risk of pedestrian-involved crashes, sideswipe crashes, and rear-end crashes. Study findings suggested that poor human-machine interfaces, exceptionally slow vehicle speeds, and resultant large queues behind the MCM contribute to these risks. Improved communication interfaces, speeds more consistent with the surrounding traffic, and smaller queue size will be important factors that AV developers and future pilot demonstrations must consider to better promote pedestrian safety near AVs.
Format:

PDF
Funding:

(c) 1036342 (wo) 43
Collection(s):

US Transportation Collection
Main Document Checksum:

[+]

urn:sha-512:cd2f037e57dc27f5e708643dc24b1b4e87eb62b9ce54ed90807930d0811a200236dc579540d34a999dd53707776bce099fbe97832a94712a2bfea378e058e2d7
Download URL:

https://rosap.ntl.bts.gov/view/dot/81808/dot_81808_DS1.pdf
File Type:

[PDF-5.15 MB]