Thomas A Dingus

Virginia Tech (Virginia Polytechnic Institute and State University) | VT · Virginia Tech Transportation Institute (VTTI)

In 2019 there were 36,500 people killed, 4.5 million people injured, and 23 million vehicles damaged in motor vehicle crashes in the United States. The economic costs of these crashes totaled $340 billion, including lost productivity, medical, legal and court costs, emergency service, insurance administration, congestion, property damage, and workp...

Driving automation systems (e.g., SAE Level 2) ultimately aim to enhance the comfort and safety of drivers. At present, these systems are able to control some portions of the driving task (e.g., braking, steering) for extended time periods, giving drivers the opportunity to disengage from the responsibilities associated with driving. In this study,...

This research study focused on the evaluation of an emulated in-vehicle Active Traffic and Demand Management (ATDM) system on Interstate 66 in Northern Virginia. Traditional ATDM systems rely on infrastructure-mounted variable message signs (VMS) to provide information (speed limits, lane availability, etc.) to the traveling public. By providing in...

Objective: To examine crash rates over time among 16-17-year-old drivers compared to older drivers. Methods: Data were from a random sample of 854 of the 3,500 study participants in SHRP 2, a U.S. national, naturalistic driving (instrumented vehicle) study. Crashes/10,000 miles by driver age group, 3-month period, and sex were examined within ge...

Distraction is a leading driver-related factor in fatal crashes (National Highway Traffic Safety Administration, 2015) and occurs when drivers divert their attention away from activities critical for safe driving toward a competing activity. While there is strong evidence from a large body of research indicating that tasks that take a driver's eyes...

Objective: This research examined the incidence rates of elevated gravitational force events (kinematic risky driving, KRD) among 16- to 17-year-old drivers compared to those of 18- to 20-year-old, 21- to 25-year-old, and 35- to 55-year-old drivers over a 12-month period. Methods: Data were sampled from the Strategic Highway Research Program 2 (SHR...

Collecting detailed, objective pre-crash information has been a challenge for the transportation community. While simulator studies, crash databases, and police accident reports/investigations help provide data that contribute to our overall understanding of crash risk, such studies are limited in that they cannot provide accurate information about...

Despite the fact that a minimum number of practice hours for novice drivers has been widely adopted in the U.S., Australia, NZ and in some European countries, surprisingly little is known about the amount or variety of driving during the learner stage. One factor may be due to the difficulty in obtaining objective measures of the amount and conditi...

This study examined the overall prevalence of cellphone use, including the rates of calls and texts both per day and hourly while driving, and assessed whether or not individual crash risk was correlated with cellphone use. The study used data from the Second Strategic Highway Research Program Naturalistic Driving Study (SHRP 2 NDS), which had more...

Purpose: Novice adolescents' crash rates are highly elevated early in licensure, despite substantial practicedriving during the learner period. The objectives of this study were to examine the variability in measures of driving risk among adolescents during the learner and early independent driving periods and evaluate how risk varies by driving e...

Objective: Risky driving behavior may contribute to the high crash risk among teenage drivers. The current naturalistic driving study assessed predictors for teenagers' kinematic risky driving (KRD) behavior and the interdependencies between them. Method: The private vehicles of 81 novice teenage drivers were equipped with data acquisition syste...

Background Teens diagnosed with Attention Deficit and Hyperactivity Disorder (ADHD) are involved in higher number of crashes (4 times higher) than non-ADHD teens. However, the specific behavioral factors behind this large discrepancy are largely unknown. Naturalistic driving studies (NDSs) offer a novel solution to obtaining objective measures of t...

Naturalistic driving (ND) methods may be particularly useful for research on young driver crash risk. Novices are not safe drivers initially, but tend to improve rapidly, although the pace of learning is highly variable. However, knowledge is lacking about how best to reduce the learning curve and the variability in the development of safe driving...

Introduction This paper evaluated the low mileage bias (LMB) phenomenon for senior drivers using data mined from the Second Strategic Highway Research Program (SHRP 2) Naturalistic Driving Study. Supporters of the LMB construct postulate that it is only those seniors who drive the lowest annual mileage who are primarily responsible for the increase...

Introduction Teen drivers' over-involvement in crashes has been attributed to a variety of factors, including distracted driving. With the rapid development of in-vehicle systems and portable electronic devices, the burden associated with distracted driving is expected to increase. The current study identifies predictors of secondary task engagemen...

Introduction Naturalistic driving methods require the installation of instruments and cameras in vehicles to record driving behavior. A critical, yet unexamined issue in naturalistic driving research is the extent to which the vehicle instruments and cameras used for naturalistic methods change human behavior. We sought to describe the degree to wh...

The purpose of this study was to describe the characteristics and progression of practice driving during the learner license period in a sample of teenagers. During the first and last 10 h of practice driving, we examined (1) the amount, variety and complexity of conditions of practice; (2) the nature of parental instruction; and (3) errors that te...

Driving safety is important for the growing population of seniors, as driving remains their primary mode of travel in the U.S., and declines in functional health are often associated with driving cessation. As some seniors may have limited or inaccurate insight into their own driving capabilities, a set of objectively measured functional health ass...

Understanding causal factors for traffic safety-critical events (e.g., crashes and near-crashes) is an important step in reducing their frequency and severity. Naturalistic driving data offers unparalleled insight into these factors, but requires identification of situations where crashes are present within large volumes of data. Sensitivity and sp...

An increasing number of countries are requiring an extended learner permit prior to independent driving. The question of when drivers begin the learner permit period, and how long they hold the permit before advancing to independent licensure has received little research attention. Licensure timing is likely to be related to “push” and “pull” facto...

Background Driver distraction is a major contributing factor to crashes, which are the leading cause of death for the US population under 35 years of age. The prevalence of secondary-task engagement and its impacts on distraction and crashes may vary substantially by driver age. Methods Driving performance and behaviour data were collected continu...

In 2012, 683 000 crashes occurred at stop-sign-controlled intersections, with 2434 of those crashes being fatal and composing 5.3% of all fatal traffic incidents in the United States. Roughly 50% of all fatal crashes at stop-sign-controlled intersections involve crossing over (i.e., running) the traffic control device. With the advent of connected-...

In the United States, 683 people were killed and an estimated 133,000 were injured in crashes due to running red lights in 2012. To help prevent/mitigate crashes caused by running red lights, these violations need to be identified before they occur, so both the road users (i.e., drivers, pedestrians, etc.) in potential danger and the infrastructure...

The SHRP 2 Database represents the largest current repository of naturalistic driving data in the world. Including over 3,500 drivers (many of them observed over several years), 30 million miles, and encompassing over 2 petabytes of storage, it offers countless possibilities for research in the fields of driver safety, traffic operations, and trans...

Significance This paper presents findings about the riskiest factors faced by drivers as informed through the first large-scale, crash-only analysis of naturalistic driving data. Results indicate that many secondary tasks or activities, particularly resulting from the use of handheld electronic devices, are of detriment to driver safety. The analys...

More than 40% of crashes that involve bicycles have occurred at intersections. According to the FARS database, an average of more than 30% of cyclist fatalities occurred at intersections from 2008 to 2012. Furthermore, up to 16% of bicycle-related crashes resulted from cyclist violations (i.e. bicyclists ride out at signalized or sign-controlled in...

Statistics demonstrate that a large number of crashes occur at signalized intersections due to traffic violations, specifically red light running (RLR). In order to prevent/mitigate intersection-related crashes, these violations need to be identified before they occur, so appropriate actions can be taken. Several factors such as vehicle speed, Time...

Driving is a daily routine for more than 220 million people in the U.S. alone, but it is far from a mundane task: Every time drivers hit the road, they face multiple risks. This book combines years of facts, figures, reports, research, results from the newest and largest driving study ever conducted, and personal anecdotes into the first driving gu...

Introduction: This paper summarizes the findings on novice teenage driving outcomes (e.g., crashes and risky driving behaviors) from the Naturalistic Teenage Driving Study. Method: Survey and driving data from a data acquisition system (global positioning system, accelerometers, cameras) were collected from 42 newly licensed teenage drivers and...

Importance: Road traffic crashes are one of the leading causes of injury and death among teenagers worldwide. Better understanding of the individual pathways to driving risk may lead to better-targeted intervention in this vulnerable group. Objective: To examine the relationship between cortisol, a neurobiological marker of stress regulation lin...

By using in situ naturalistic driving data, estimates of prevalence and risk can be made regarding driver populations' secondary task distractions and crash rates. Through metadata analysis, three populations of drivers (i.e., adult light vehicle, teenaged light vehicle, and adult heavy vehicle) were compared regarding frequency of secondary task b...

Distracted driving attributable to the performance of secondary tasks is a major cause of motor vehicle crashes both among teenagers who are novice drivers and among adults who are experienced drivers. We conducted two studies on the relationship between the performance of secondary tasks, including cell-phone use, and the risk of crashes and near-...

This study investigated the effects of distraction from the use of three types of cell phones: (1) hand-held (HH), (2) portable handsfree (PHF), and (3) integrated hands-free (IHF). Through a naturalistic driving study (NDS), 204 drivers were continuously recorded for an average of 31 days. Only drivers who reported talking on a cell phone while dr...

Preventing speed-related crashes could reduce costs and improve efficiency in the transportation industry. This research examined the psychosocial and personality predictors of observed speeding among young drivers. Survey and driving data were collected from 42 newly-licensed teenage drivers during the first 18months of licensure. Speeding (i.e.,...

Naturalistic driving research involves the instrumentation of vehicles, including video cameras, for the purpose of precisely recording participants as they normally drive as well as in the seconds leading up to crashes and near-crashes. The results provide new insight into driver behavior and performance that cannot be gained through traditional e...

We compared rates of risky driving among novice adolescent and adult drivers over the first 18 months of adolescents' licensure. Data-recording systems installed in participants' vehicles provided information on driving performance of 42 newly licensed adolescent drivers and their parents. We analyzed crashes and near crashes and elevated g-force e...

The high crash rates of novice teenage drivers are thought to be caused by inexperience and risky driving behavior, exacerbated by passengers, driving at night, and other complex driving conditions. This study examined factors associated with crash/near crash and risky driving rates among novice teenagers, including driving at night versus day, pas...

Previous research demonstrated that a haptic driver seat can effectively convey information to drivers, and suggests that it may be an ideal method for presenting haptic information because it maintains contact with the driver. The current study progresses this research by investigating whether a haptic seat can be used as the sole method for commu...

Background: Crash risk is highest during the first months after licensure. Current knowledge about teenagers' driving exposure and the factors increasing their crash risk is based on self-reported data and crash database analyses. While these research tools are useful, new developments in naturalistic technologies have allowed researchers to exami...

Though there is ample research indicating that nighttime, teen passengers, and speeding increase the risk of crash involvement, there is little research about teen drivers' exposure to these known risk factors. Three research questions were assessed in this article: (1) Does exposure to known risk factors change over time? (2) Do teenage drivers ex...

Naturalistic driving is an innovative method for investigating driver behavior and traffic safety. However, as the number of crashes observed in naturalistic driving studies is typically small, crash surrogates are needed. A study evaluated the use of near crashes as a surrogate measure for assessment of the safety impact of driver behaviors and ot...

The design of a safe transportation system requires numerous design decisions that should be based on data acquired by rigorous scientific method. Naturalistic data collection and analysis methods are a relatively new addition to the engineer's toolbox. The naturalistic method is based on unobtrusively monitoring driver and vehicle performance unde...

Using the 100-Car Study database, two analyses were conducted: re-calculation of odds ratios (ORs) using a case-crossover baseline, and characterization of secondary task engagement in real-world environments. First, ORs were recalculated for drowsiness, secondary task engagement, and total time eyes-off-road (TEOR) using conditional logistic regre...

This paper presents an overview of methods used when measuring driver behavior and performance. Simulators, test-track, on-road, field-operational-trials, and naturalisitic methods are described. Useful driver measures are described. Three examples are provided of the application of driver measurement in product design and evaluation.

In a naturalistic study of teenage drivers (N = 42) hard braking events of ≤-0.45 g were assessed over the first 6 months of licensure. A total of 1,721 hard braking events were recorded. The video footage of a sample (816) of these events was examined to evaluate validity and reasons for hard braking. Of these, 788 (96.6%) were estimated valid, of...

Previous laboratory and simulator research has indicated that hazard detection skills and abilities are less developed among novice drivers compared with experienced adult drivers. Novices tend to miss some relevant cues and may be less able to process important elements in the environment while driving. As was found with other research methods, it...

This paper describes a method for use in evaluating the performance of collision avoidance systems (CASs) using naturalistic driving data collected during real crashes and near-crashes. The method avoids evaluation of algorithms against specific assumptions of reaction times or response inputs. It minimizes interpretation of the involved driver's p...

Previous research has found that commercial drivers get an average of 5.18 h of sleep per night. The revised hours-of-service (HOS) regulations (in the United States) are in place to provide drivers with more opportunities to get sleep. However, are drivers really getting more sleep under these new regulations? Also, is there a relationship between...

Traditionally, both epidemiological and empirical methods have been used to assess driving safety. This paper describes an alternative, hybrid, naturalistic approach to data collection that shares advantages with each traditional approach. Though this naturalistic approach draws on elements of several safety techniques that have been developed in t...

Relatively little driver behavior research was conducted prior to the founding of HFES and it only really began to accelerate in the 1960's. Some highway safety pioneers remain active in HFES and their careers illustrate the trajectory of the field itself, from emergence to maturation as a human factors domain. These early leaders mentored a subseq...

Crash causation research has identified inattention as a major source of driver error leading to crashes. The series of experiments presented herein investigate the characteristics of an in-vehicle information system (IVIS) task that could hinder driving performance due to uncertainty buildup and cognitive capture. Three on-road studies were perfor...

The “100-Car Naturalistic Driving Study” is a three-phased effort designed to accomplish three objectives: Phase I, Conduct Test Planning Activities; Phase II, Conduct a Field Test; and Phase III, Prepare for Large-Scale Field Data Collection Effort. This report documents the efforts of Phase II. Project sponsors are the National Highway Traffic Sa...

Research on driver distraction has typically been conducted by means of epidemiology or experimental testing. The study presented here uses a naturalistic approach, where real-world driving data were collected from truck drivers as they worked their normal delivery runs. Crash, near-crash, and crash-relevant conflict data from 41 long-haul truck dr...

Driver distraction, or inattention, has been receiving wide media attention recently as many state legislatures are considering various levels of restricting cell phone use. Research has been conducted using a variety of experimental methods to determine the level of risk associated with driving inattention. While most of this research suggests tha...

The 100-Car Naturalistic Driving Study was the first large-scale instrumented vehicle study with no special driver instructions, unobtrusive data collection instrumentation, and no in-vehicle experimenter. The final data set includes approximately 2,000,000 vehicle miles, almost 43,000 hours of data, 241 primary and secondary drivers, 12 to 13 mont...

Intersection crashes account for nearly a quarter of all police reported crashes, and 39% of these result in injury or death. In this experiment, haptic warnings were explored as an alternative to auditory and visual warnings as part of an overall effort to reduce the number of intersection related crashes. The study objective was to determine the...

A naturalistic driving study involving 100 light vehicles equipped with video cameras and other data collection equipment was recently completed. The resulting data set was searched to identify critical incidents involving both light vehicles (LVs) and heavy vehicles (HVs). Each incident was coded on a number of dimensions including the type of inc...

A key to the development of effective crash countermeasures is an understanding of pre-crash causal and contributing factors. This research effort was initiated to provide an unprecedented level of detail concerning driver performance, behavior, environment, driving context and other factors that were associated with critical incidents, near crashe...

The Virginia Tech Transportation Institute (VTTI) was contracted by the Federal Motor Carrier Safety Administration (FMCSA) and the National Highway Traffic Safety Administration (NHTSA) to collect data from Commercial Vehicle Operators (CVO) under two contracts. The first study, Impact of Local/Short Haul Operations on Driver Fatigue (Hanowski, et...

As a precursor to the present research, Hanowski et al. [FHWA Report no. FHWA-MC-98-029. Office of Motor Carriers, Federal Highway Administration, Washington, DC, 1998] conducted a series of focus groups in which local/short haul (L/SH) drivers provided their perspective on safety issues, including fatigue, in their industry. As a follow-up to the...

This study examined whether the effect of subsidiary tasks on driving performance can be predicted from stationary (static) testing. Alternative methods for assessing the performance of drivers during their use of in-vehicle information systems were examined. These methods included static testing in stationary vehicles, as well as dynamic, on-road...