SOLICITATION NOTICE
B -- Experimental Roadmaps and Protocol
- Notice Date
- 3/3/2015
- Notice Type
- Combined Synopsis/Solicitation
- NAICS
- 611310
— Colleges, Universities, and Professional Schools
- Contracting Office
- Department of Health and Human Services, Centers for Disease Control and Prevention, Procurement and Grants Office (Atlanta), 2920 Brandywine Road, Room 3000, Atlanta, Georgia, 30341-4146
- ZIP Code
- 30341-4146
- Solicitation Number
- 2015-62027SG
- Archive Date
- 3/28/2015
- Point of Contact
- Sarah H. Gray, Phone: 7704882085
- E-Mail Address
-
Sgray1@cdc.gov
(Sgray1@cdc.gov)
- Small Business Set-Aside
- N/A
- Description
- Statement of Work Roadmaps and Study Protocol Development for Experiments to Evaluate Occupational Drivers' Decision Making at Intersections The task is to develop a detail study protocol and a human study consent package for a series of 5 virtual reality experiments to evaluate interactive relationships between the occupational drivers' decision making and intersection-traffic-driving variables, based on a NIOSH project concept "Occupational Driver Safety at Intersections". The occupational drivers in this task will be primarily firefighters and law enforcement officers. General passenger vehicle drivers will also be used and their responses will serve as the baselines. The protocol will be used for lab-based virtual reality experiments to generate empirical data necessary for the development of safety recognition material and intersection safety guidelines for occupational drivers. Background There were 32,885 highway fatalities in motor vehicle crashes in 2010 (Federal Highway Administration, 2012) and 21 percent of crashes and 24 percent of all fatalities and injuries related to motor vehicle collisions occurred at signalized intersections (Bared, 2005). Some control strategies have been proposed to reduce frequency and severity of intersection collisions. Among them are traffic control, geometric improvements, sight distance improvement, driver awareness, driver compliance, and other infrastructure treatments (Antonucch et al. 2004). These strategies were derived from traffic safety analyses which have traditionally relied on historical collision data and thus pertain to several limitations, such as change of factors during the observation period and quality of collision data in that collision data reporting is often incomplete, and inconsistently reported by different jurisdiction (Sayed and Zein, 1999). In addition, the control strategies were typically for general public and thus may not be specific enough for occupational drivers who have high exposure to motor vehicle crash risk for the work hours and mileage they engage. NIOSH has a priority goal to develop science-based guidelines and strategies to assist occupational drivers in enhancing intersection safety. This proposed task is to develop laboratory based experiments to address current knowledge gaps toward the development of safety intersection guidelines for occupational drivers. Task Components The contractor is to develop a lab-based virtual reality study protocol, including a series of five experiments, to study the effect of driver-vehicle-intersection interface on intersection safety. Roadmaps for the driving simulations and a human study consent package are to be developed accordingly as well to complete the entire contract. The contract includes the following components. 1. The contractor is to develop a detail study protocol for a series of 5 virtual reality experiments to address the interaction effect of traffic signal clearance interval, traffic light layout, left-turn formation, and vehicle type on driver decision making, based on the NIOSH project concept "Occupational Driver Safety at Intersections". The occupational drivers in this task will be primarily firefighters and law enforcement officers (LEO). General passenger vehicle drivers will be used as well and their responses will serve as the baselines. Experiment 1 will quantify the level of effect of vehicle type and occupation on driver decision-making. Specifically, at lease perception time (the time interval from the yellow light onset to the accelerator release), physical response time, deceleration rate, intersection clearance time, red light running time, red light running frequency and driver stress level shall be included. Fire truck drivers and LEO will perform simulated driving of fire trucks and police cruisers under emergency responses and returning from response situations. They along with general passenger vehicle drivers will perform simulated driving, using a virtual passenger vehicle under normal commuting situations. Experiment 2 will assess the interactive relationship between the approach speed and the type of vehicle on driver decision making. Two levels of approach speed, 30 and 60 mph, will be evaluated using the same three vehicle types and dependent variables as Experiment 1. In Experiment 3, the effect of left turn logic (signaling design) and type of vehicle (three vehicles as Experiment 1) will be evaluated. Experiment 4 will evaluate the effect of traffic light physical arrangement on decision-making among drivers and driver error. Three signal light layouts will be tested. Experiment 5 will evaluate the effectiveness of best-practice safety recognition training. Individual drivers will complete two 30-minute test drives - driving without training. Drivers will then be provided best practice safe-driving training (derived from the study results of experiments 1-4 and presented in an assistance device) with an emphasis on how to respond to yellow lights and traffics. Drivers will then complete two 30-minute test drives. Each drive will consist of 12 intersections; the signal will change to yellow at 6 intersections (1 left turn and 1 forward for each of 3 yellow-light time settings). Additional information on the 5 experiments is available in the NIOSH project concept "Best-Practice Guidelines for Occupational Driver Safety at Intersections" 2. The contractor is to develop detail roadmaps for the abovementioned five experiments in a logic way that minimizes experiment time, maximizes data collection capacity, and minimizes data confounding. The roadmaps will contain different configurations of intersections and levels of traffic complexity. The roadmaps should be arranged in a way that allows for each experiment to be tested independently and as a group for Experiments 1, 2, 3, and 4. The roadmaps must be presented at least in top view to assist software developers and the NIOSH research team to build virtual driving scenarios. 3. The contractor is then to finalize a human study consent package based on the study protocol and roadmaps described in elements 1 and 2. The consent package should be developed using the NIOSH Institute Research Board (IRB) format for NIOSH review and approval. 4. The task should be completed within 8 months from the effective date of the contract by delivering a study protocol, documenting the study design, process, and roadmaps (see element 2 for roadmap specifications), using the format of typical lab-based scientific study protocols in the areas of human factors and ergonomics, which would contain overall objective and specific aims, background and significance (needs for research and expected impact), hypotheses, study design and methods, study procedure, expected results, and references. The human subject research consent package should be delivered at the same time frame, using the format described in element 3. Evaluation Criteria: 1. The offerer is to write a 2-page (single space) action plan with a time line to demonstrate his/her understanding of the task and ability to carry the task in a timely and excellent quality manner (80%). 2. Credentials in developing human factors research protocols (20%).
- Web Link
-
FBO.gov Permalink
(https://www.fbo.gov/spg/HHS/CDCP/PGOA/2015-62027SG/listing.html)
- Place of Performance
- Address: The Centers for DIsease Control and Prevention, Morgantown, West Virginia, United States
- Record
- SN03657633-W 20150305/150303235311-c3e69d18ca46262d0d71015e96f39455 (fbodaily.com)
- Source
-
FedBizOpps Link to This Notice
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