Michelle L. Reyes

ORCID: 0000-0002-8770-5593
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About
Contact & Profiles
Research Areas
  • Traffic and Road Safety
  • Human-Automation Interaction and Safety
  • Injury Epidemiology and Prevention
  • Safety Warnings and Signage
  • Urban Transport and Accessibility
  • Agriculture and Farm Safety
  • Autonomous Vehicle Technology and Safety
  • Older Adults Driving Studies
  • Vehicle emissions and performance
  • Sleep and Work-Related Fatigue
  • Automotive and Human Injury Biomechanics
  • Robotic Mechanisms and Dynamics
  • Traffic control and management
  • Mechanical Engineering and Vibrations Research
  • Vehicle Dynamics and Control Systems
  • Smart Agriculture and AI
  • Resilience and Mental Health
  • Topic Modeling
  • Traffic Prediction and Management Techniques
  • Transport and Economic Policies
  • Air Quality and Health Impacts
  • Transportation and Mobility Innovations
  • Forensic Toxicology and Drug Analysis
  • EEG and Brain-Computer Interfaces
  • Persona Design and Applications

University of Iowa
2010-2024

Universidad Nacional Autónoma de México
2023

Iowa Policy Project
2016

Rear-end collisions account for almost 30% of automotive crashes. collision avoidance systems (RECASs) may offer a promising approach to help drivers avoid these Two experiments performed using high-fidelity motion-based driving simulator examined driver responses evaluate the efficacy RECAS. The first experiment showed that early warnings helped distracted react more quickly---and thereby collisions---than did late or no warnings. Compared with no-warning condition, an RECAS warning reduced...

10.1518/0018720024497844 article EN Human Factors The Journal of the Human Factors and Ergonomics Society 2002-06-01

As use of in-vehicle information systems (IVISs) such as cell phones, navigation systems, and satellite radios has increased, driver distraction become an important growing safety concern. A promising way to overcome this problem is detect adapt accordingly mitigate distractions. To realize strategy, paper applied support vector machines (SVMs), which a data mining method, develop real-time approach for detecting cognitive using drivers' eye movements driving performance data. Data were...

10.1109/tits.2007.895298 article EN IEEE Transactions on Intelligent Transportation Systems 2007-06-01

10.1016/j.trf.2008.03.004 article EN Transportation Research Part F Traffic Psychology and Behaviour 2008-05-20

We examined whether feedback from an event-triggered video intervention system reduced the number of safety-relevant driving errors made by newly licensed adolescents.We used a 1-group pretest-posttest quasi-experimental design to compare rate coachable error events per 1000 miles for 18 drivers who were aged 16 years. The consisted immediate visual provided and weekly event reports videos their parents.The was 61% overall during (chi(2) = 11.42; P .001) did not significantly increase second...

10.2105/ajph.2009.165829 article EN American Journal of Public Health 2010-04-16

Driver distraction has become an important and growing safety concern as the use of in-vehicle information systems (IVISs), such cell phones navigation systems, continues to increase. One approach allowing people benefit from IVISs without compromising is create adaptive that adjust their functions according driver roadway state. A critical element involves monitoring in real time; with a function it possible mitigate distraction. This study applied Bayesian networks (BNs), data mining...

10.3141/2018-01 article EN Transportation Research Record Journal of the Transportation Research Board 2007-01-01

This paper presents a comprehensive solution for distance estimation of the following vehicle solely based on visual data from low-resolution monocular camera. To this end, pair vehicles were instrumented with real-time kinematic (RTK) GPS, and lead was equipped custom devices that recorded video vehicle. Forty trials sedan as vehicle, then procedure repeated pickup truck in position. Vehicle detection conducted by employing deep-learning-based framework footage. Finally, outputs used...

10.3390/s22072736 article EN cc-by Sensors 2022-04-02

Computer, software, telecommunications, and automotive companies have begun to develop In-Vehicle Information System (IVIS) functions despite the potential for these devices distract drivers. A simulator study examined how demands of an IVIS affected driver response in tactical control braking conditions. The were manipulated according multiple resource theory dimensions processing code stage. Drivers listened answered questions about messages containing information restaurants. findings...

10.1177/154193120404801935 article EN Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2004-09-01

Advanced driver assistance systems (ADAS) offer great promise in improving the safety of our roadways. Although ADAS have rapidly entered U.S. passenger vehicle market, little is known about understanding and attitudes toward ADAS, especially impact their initial exposure to technologies. Whereas some may be easy learn use, others are more complex limitations that not obvious driver. The Technology Demonstration Study was conducted evaluate how ways which drivers affect knowledge perceptions...

10.1177/0361198119847975 article EN Transportation Research Record Journal of the Transportation Research Board 2019-05-18

Measuring driver response to in-vehicle human-machine interface (HMI) systems is critical for the automotive design and evaluation process. Physiological measures provide a useful complement performance-based subjective because they promise an estimate of affective drivers system in way that requires no overt by driver. This research explored how facial temperature might reflect drivers' demands confront when interacting with systems. Sixteen completed series tasks while driving simulator....

10.17077/drivingassessment.1368 article EN 2009-01-01

This study examines the ability of an event-triggered video system to extend parental involvement into independent driving phase newly licensed teen drivers. The provides both immediate feedback and a 20-second clip, giving driver their parent opportunity review learn from mistakes as well good responses. was placed in vehicles 25 drivers (ages 16-17) for 57 weeks. first nine weeks established within-subject baseline; no or given during this time. During next 40 weeks, provided form blinking...

10.17077/drivingassessment.1293 article EN 2007-01-01

Crashes involving farm equipment (FE) are a major safety concern for farmers as well all other users of the public road system in both rural and urban areas. These crashes often involve passenger vehicle drivers striking from behind or attempting to pass, but little is known about drivers' perceived norms self-reported passing behaviors. The objective this study examine factors influencing frequencies their perceptions behaviors drivers.Data were collected via intercept surveys with adult at...

10.1016/j.trip.2023.100926 article EN cc-by Transportation Research Interdisciplinary Perspectives 2023-09-28

4-to-3 lane conversions, often called road diets, have been implemented throughout the U.S. as a means to reduce crashes. However, reduction in lanes has led community wide concerns across country regarding possible negative effect on emergency responses. This study investigates impact of 4-to-3-lane roadway conversions response Iowa through surveys and retrospective analysis EMS data. The 170 survey responses were analyzed descriptively, text was done two open questions. Generalized linear...

10.1016/j.trip.2024.101158 article EN cc-by-nc-nd Transportation Research Interdisciplinary Perspectives 2024-07-01
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