SBIR/STTR Research Award

A Cloud-based Solutions to Commercial Driver Hazard Perception Training and Screening

Award identifier fe10e46b7f5ebe6cbd72216fa683c0cf23e766c3dd500dbf4157716a292080d9Awarding agency Department of Health and Human Services · Centers for Disease Control and Prevention

Award amount

$149,981

Program and phase

SBIR · Phase I

Award year

2016

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Award details

Awarding agency
Department of Health and Human Services
Branch
Centers for Disease Control and Prevention
Recipient company
SYSTEMS TECHNOLOGY, INC
Proposal award date
2016-09-01
Contract end date
2017-05-31
UEI
R3DPJ1ZZJAK8
Solicitation number
PA15-269
Topic code
NIOSH

Research abstract

DESCRIPTION provided by applicant Motor vehicle crashes remain the leading cause of death among U S workers and cost employers $ billion annually in medical care legal expenses property damage and lost productivity Compounding the safety problem is the high commercial driver turnover rate and shortage of experienced drivers The industry is thus faced with the challenge of screening training new drivers and re training experienced drivers as turnover rates continue and crashes accumulate Proactive traffic safety programs with driving simulation based training provides an attractive means of preventing crashes When specified for a particular vehicle and task the advantages of simulation based training are clear safety versatility standardization repeatability etc Simulation also provides an engaging platform fr disseminating knowledge and improving overall hazard perception and response skills To meet the traffic safety and training needs of commercial motor carriers this Phase I SBIR proposes the development a cloud based commercial driver training system that uses job specific multimedia instruction and low cost driving simulation technology to supplement traditional driver training As a cloud based system it allows a single simulator station to be deployable anywhere there is connectivity using low cost off the shelf hardware Driver performance and training data are accessible for tracking normative data analysis and system improvements The innovation lies not in the simulator but the creation and mining of the resulting cloud based database Not only can commercial entities use this database to screen individual drivers for deficiencies or areas that need improvement but also to identify the shortcomings of the driver population as a whole This system has the potential to be affordable and effective in reducing commercial driver crash rates The immediate objectives are to improve or refresh the hazard perception skills of drivers increase driver awareness of safety issues involving driver distraction fatigue and impairment introduce new drivers to the specific driving environments and hazards associated with their job tasks and vehicle configuration and provide organizations a cost effective means of deploying and managing this simulation based training system To evaluate these objectives a pilot study N will be performed using a pre post test design with a prototype system Training effectiveness will be measured using a variety of assessment routines driving simulation videos slides surveys Additional surveys and interviews will evaluate system usability Given that feasibility of the proposed approach has been effectively demonstrated in Phase I a Phase II program that features full prototype development and an efficacy study will be proposed The Phase II study will aim to quantify transfer of training to on road behaviors Potential Phase II partners include the Virginia Tech Transportation Institute which has a significant expertise in the collection of on road naturalistc driver data using low cost instrumentation and advanced data collection and archival systems PUBLIC HEALTH RELEVANCE Motor vehicle related incidents are consistently the leading cause of work related fatalities in the United States The additional training that drivers will ge with this system will reduce accidents thus lowering both commercial driver and ancillary fatalities and injuries and could significantly reduce the estimated $ billion dollars these accidents cost

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

187 SBIR/STTR records share this UEI (1983–2026). Reported award amounts total $58,450,871. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration, Department of Health and Human Services, Department of Transportation, Department of Agriculture

Agency intelligence

Department of Health and Human Services

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