Making Crosswalks Smarter: Using Sensors and Learning Algorithms to Safeguard Heterogenous Road Users

Zhang, Yunchang; Fricker, Jon D.; Center for Connected and Automated Transportation (CCAT); Purdue University. Lyles Department of Civil Engineering

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Making Crosswalks Smarter: Using Sensors and Learning Algorithms to Safeguard Heterogenous Road Users

2022-04-01
By Zhang, Yunchang ; Fricker, Jon D.

[PDF-1.10 MB]

English

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Details:

Creators:

Zhang, Yunchang ; Fricker, Jon D.

Zhang, Yunchang ; Fricker, Jon D. Less -
Corporate Creators:

Center for Connected and Automated Transportation (CCAT) ; Purdue University. Lyles Department of Civil Engineering

Center for Connected and Automated Transportation (CCAT) ; Purdue University. Lyles Department of Civil Engineering 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 Congestion Management Systems Connected Vehicles Human Factors Engineering Policy Traffic Control Vulnerable Road Users
Resource Type:

Other
Geographical Coverage:

United States
Corporate Publisher:

Center for Connected and Automated Transportation. Purdue University
Abstract:

Poster from 2022 Global Symposium on Connected and Automated Vehicles and Infrastructure, April 14, 2022, Ann Arbor, Michigan.
Format:

PDF
Funding:

69A3551747105
Collection(s):

University Transportation Centers
Main Document Checksum:

[+]

urn:sha256:04d58f88bb9e997034536cf56f7990be10bba7954cd6d503a2a347cb0c70a022
Download URL:

https://rosap.ntl.bts.gov/view/dot/72954/dot_72954_DS1.pdf
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Making Crosswalks Smarter: Using Sensors and Learning Algorithms to Safeguard Heterogenous Road Users

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