An Evaluation of Road User Interactions with E-Scooters
This research project will investigate road user interactions with e-scooters. The primary objective will assess e-scooter rider interactions with other road user by data mining the Virginia Tech (VT) E-Scooter Deployment project fixed camera video database that is currently being collected on Virginia Tech campus in Blacksburg. The VT E-Scooter Deployment project is a joint venture with Spin and Virginia Tech Transportation Institute (VTTI) to assess safety, convenience, and nuisance factors that may occur with the deployment of e-scooters on a college campus. Using three or four strategically located fixed cameras located proximal to campus bus stops, the data will be reviewed to (1) determine e-scooter presence, (2) capture e-scooter interactions with other road users, (3) classify these interactions for severity, and (4) record general behavior of e-scooter riders (e.g. helmet use, backpack/carriage of other items, speed, following general rules of road). Analyses will provide greater understanding of e-scooter rider interactions with other road users and potential countermeasures to improve safety for all road users.
Language
- English
Project
- Status: Active
- Funding: $100000
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Contract Numbers:
69A3551747115
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Sponsor Organizations:
Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Managing Organizations:
Safety through Disruption University Transportation Center (Safe-D)
Virginia Tech Transportation Institute
Blacksburg, VA United States 24060 -
Project Managers:
Glenn, Eric
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Performing Organizations:
Virginia Tech Transportation Institute
3500 Transportation Research Plaza
Blacksburg, Virginia United States 24061 -
Principal Investigators:
Klauer, Charlie
- Start Date: 20200101
- Expected Completion Date: 20211225
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers Program
Subject/Index Terms
- TRT Terms: Behavior; Data mining; Drivers; Electric vehicles; Evaluation and assessment; Scooters; Traffic safety; Universities and colleges; Video
- Identifier Terms: Virginia Tech University
- Subject Areas: Highways; Safety and Human Factors; Vehicles and Equipment;
Filing Info
- Accession Number: 01737731
- Record Type: Research project
- Source Agency: Safety through Disruption University Transportation Center (Safe-D)
- Contract Numbers: 69A3551747115
- Files: UTC, RIP
- Created Date: Apr 23 2020 5:47PM