Artificial Intelligence for Pedestrian and Bicyclist Safety: Using AI To Detect Near-Miss Collisions [Research Brief]

Pourhomayoun, Mohammad; San Jose State University. College of Business. Mineta Transportation Institute; California State University, Los Angeles

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Artificial Intelligence for Pedestrian and Bicyclist Safety: Using AI To Detect Near-Miss Collisions [Research Brief]

2024-09-01
By Pourhomayoun, Mohammad

[PDF-677.06 KB]

English

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Details:

Creators:

Pourhomayoun, Mohammad
Corporate Creators:

San Jose State University. College of Business. Mineta Transportation Institute ; California State University, Los Angeles

San Jose State University. College of Business. Mineta Transportation Institute ; California State University, Los Angeles Less -
Corporate Contributors:

State of California SB1 2017/2018, Trustees of the California State University Sponsored Programs Administration ; United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology

State of California SB1 2017/2018, Trustees of the California State University Sponsored Programs Administration ; 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:

[+]

Artificial Intelligence Cyclists Machine Learning Near Crashes Pedestrian Safety Traffic Safety
Publication/ Report Number:

2350
Resource Type:

Brief
Geographical Coverage:

California ; United States

California ; United States Less -
Edition:

Research Brief
Corporate Publisher:

San Jose State University. College of Business. Mineta Transportation Institute
Abstract:

For this project, we developed an end-to-end system based on advanced artificial intelligence (AI) models and effective computer vision algorithms to detect and report near-miss collisions as an important indicator to identify and measure safety risks, especially in specific circumstances such as right turn on a red light. The main objective is to improve the safety of pedestrians and bicyclists by applying automated AI-powered systems to detect accident risks for pedestrians and cyclists.
Format:

PDF
Collection(s):

University Transportation Centers
Main Document Checksum:

[+]

urn:sha-512:171f49da87b6edc034bf65733139b2a3b12babcde6184ea438a77bd1dbc50375240634877b89ad357b6f287c771ea98ee326567e5f33125e7ba407aca91e8a9d
Download URL:

https://rosap.ntl.bts.gov/view/dot/78241/dot_78241_DS1.pdf
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Artificial Intelligence for Pedestrian and Bicyclist Safety: Using AI To Detect Near-Miss Collisions [Research Brief]

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