Development of Instrumented Bikes: Toward Smart Cycling Infrastructure and Maintenance

Ho, Chun-Hsing; Russo, Brendan; Gehrke, Steven; Zhang, Yifei; Zen, Kewei; Pinedo, Elijah; METRANS Transportation Center (Calif.); Pacific Southwest Region 9 UTC, University of Southern California

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Development of Instrumented Bikes: Toward Smart Cycling Infrastructure and Maintenance

2022-08-10
By Ho, Chun-Hsing ; Russo, Brendan ; Gehrke, Steven ; ...

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English

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Details:

Creators:

Ho, Chun-Hsing ; Russo, Brendan ; Gehrke, Steven ; Zhang, Yifei ; Zen, Kewei ; ... More +

Ho, Chun-Hsing ; Russo, Brendan ; Gehrke, Steven ; Zhang, Yifei ; Zen, Kewei ; Pinedo, Elijah Less -
Corporate Creators:

METRANS Transportation Center (Calif.) ; Pacific Southwest Region 9 UTC, University of Southern California

METRANS Transportation Center (Calif.) ; Pacific Southwest Region 9 UTC, University of Southern California Less -
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

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

[+]

Bicycles Bicycle Safety Instrumented Vehicles Mobility
Publication/ Report Number:

PSR-21-17
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

Final Report
Corporate Publisher:

METRANS Transportation Center (Calif.)
Abstract:

This project is to develop an instrumented bike with a sensor logger, a video device (e.g., GoPro), a mobile app, and a cloud server/website to detect real-time quality of cycling infrastructure systems (bike trails, sidewalks, pedestrian pathways, etc), and immediately share the information with cyclists (road users) and governments/authorities (road managers) such that (1) cyclists (road users) will be aware of upcoming potential hazards prior to cycling and be able to adjust their cycling route accordingly, and (2) governments (road managers) will be able to effectively prioritize their maintenance needs. A computing algorithm using the sliding window method was developed in support of the development of instrumented bike. Based on field cycling test, the sliding window computing algorithm is capable of analyzing vibration patterns and identifying potential hazards (potholes, bumps, uneven surface, cracks, etc.) through multiple cyclists. The purpose of the project is to introduce an instrumented bike to the cycling community and agencies with a goal to provide “smart wheels” for day-to-day cycling operations, improve bike efficiency, safety, and mobility, promote cycling activities, and reduce emissions.
Format:

PDF
Funding:

USDOT Grant 69A3551747109
Collection(s):

University Transportation Centers
Main Document Checksum:

[+]

urn:sha256:cce3884d70b83a845618a2b8355e8042b0bad4b1d286e9cbaebbe0646b6e4d1f
Download URL:

https://rosap.ntl.bts.gov/view/dot/67561/dot_67561_DS1.pdf
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Development of Instrumented Bikes: Toward Smart Cycling Infrastructure and Maintenance

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