A Smart Assistance System for Increasing the Safety of Transportation Workers
The goal of this research is to deliver a cost-effective smart system that can monitor transportation workers (e.g., drivers and operators of hazardous materials transportation), assess their risk exposure and awareness levels, and assist them in operations, in a near real-time manner and for the purpose of safety enhancement. The first-year project the research team proposes aims to deliver the prototype model of this system. A sensor subsystem will be first developed for acquiring well-rounded real-time information of transportation workers in operations. Then, statistical-based methods will be created for processing the sensed data for estimating the risk exposure and awareness levels of workers. The improvement in estimating the metrics of interests using integrated sensor data will be tested. The prototype model provides a foundation for testing, demonstrating, and completing the smart assistance system.
Language
- English
Project
- Status: Completed
- Funding: $119968
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Contract Numbers:
69A3551747107
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Sponsor Organizations:
Mid-America Transportation Center
University of Nebraska-Lincoln
2200 Vine Street, PO Box 830851
Lincoln, NE United States 68583-0851Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Managing Organizations:
Mid-America Transportation Center
University of Nebraska-Lincoln
2200 Vine Street, PO Box 830851
Lincoln, NE United States 68583-0851 -
Project Managers:
Stearns, Amy
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Performing Organizations:
Missouri University of Science & Technology, Rolla
Department of Engineering
202 University Center
Rolla, MO 65409 -
Principal Investigators:
Qin, Ruwen
- Start Date: 20170801
- Expected Completion Date: 20181231
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers
- Source Data: RiP Project 91994-15
Subject/Index Terms
- TRT Terms: Awareness; Hazardous materials; Intelligent agents; Operators (Persons); Prototypes; Real time information; Risk assessment; Safety; Sensors; Truck drivers
- Subject Areas: Data and Information Technology; Freight Transportation; Highways; Safety and Human Factors;
Filing Info
- Accession Number: 01659744
- Record Type: Research project
- Source Agency: Mid-America Transportation Center
- Contract Numbers: 69A3551747107
- Files: UTC, RIP
- Created Date: Feb 9 2018 10:01AM