Advancing Transportation Equity and Safety Through Autonomous Vehicles.

Motor vehicle crashes are a leading cause of death in the United States, and disproportionately impact communities of color. Replacing human control with automated vehicles (AVs) holds the potential to reduce crashes and save lives. The benefits of AVs, including automated shuttles, buses, or cars could extend beyond safety to include improvements in congestion, reductions in emissions, and increased access to mobility, particularly for vulnerable populations. However, AVs have not attained the level of public trust that has been expected, given their potential to save lives and increase access to mobility. Public opinion surveys have highlighted safety and security concerns as reasons for this lack of confidence. In this study, we present the findings of an experiment we conducted to actively shift mindsets on AVs toward advancing health equity. We demonstrate through a nationally representative sample of 2265 U.S. adults that the public support for AVs can be improved by expanding their scope of application to include advancing social benefit. The survey began with questions on respondent's support for AVs based on a priori knowledge and beliefs. Consistent with prior surveys, baseline support (strong support and some degree of support) was low at 26.4% (95% confidence interval 24.0-29.0). After introducing information about how AVs could be used to provide mobility for older adults, those with limited income, or the vision-impaired, respondents were asked to reassess their support for AVs. Support significantly increased to include the majority of respondents. By prioritizing the deployment of AVs to serve individuals and communities in greatest need of mobility, AVs would not only demonstrate compelling social value by reducing disparities but would also gain widespread public support among the U.S. public.

Awake at the wheel: how auto technology innovations present ongoing sleep challenges and new safety opportunities.

Individuals and society are dependent on transportation. Individuals move about their world for work, school, healthcare, social activities, religious and athletic events, and so much more. Society requires the movement of goods, food, medicine, etc. for basic needs, commerce, cultural and political exchanges, and all of its dynamic, complex elements. To meet these critical daily demands, the transportation system operates globally and around the clock. Regardless of their role, a basic requirement for the individuals operating the transportation system is that they are awake and at optimal alertness. This applies to individuals driving their own cars, riding a bike or motorcycle, as well as pilots of commercial aircraft, train engineers, long-haul truck drivers, and air traffic controllers. Alert operators are a basic requirement for a safe and effective transportation system. Decades of scientific and operational research have demonstrated that the 24/7 scheduling demands on operators and passengers of our transportation system create sleep and circadian disruptions that reduce alertness and performance and cause serious safety problems. These challenges underly the longstanding interest in transportation safety by the sleep and circadian scientific community. An area currently offering perhaps the most significant opportunities and challenges in transportation safety involves vehicle technology innovations. This paper provides an overview of these latest innovations with a focus on sleep-relevant issues and opportunities. Drowsy driving is discussed, along with fatigue management in round-the-clock transportation operations. Examples of cases where technology innovations could improve or complicate sleep issues are discussed, and ongoing sleep challenges and new safety opportunities are considered.

Public Support for Vehicle Technology to Prevent Operation by Impaired Drivers.

This survey study measures public support for vehicle impairment prevention technology in the US.

The Future of Road Safety: Challenges and Opportunities.

Policy Points Traditional approaches to addressing motor vehicle crashes are yielding diminishing returns. A comprehensive strategy known as the Safe Systems approach shows promise in both advancing safety and equity and reducing motor vehicle crashes. In addition, a range of emerging technologies, enabled by artificial intelligence, such as automated vehicles, impairment detection and telematics hold promise to advance road safety. Ultimately, the transportation system will need to evolve to provide the safe, efficient, and equitable movement of people and goods without reliance on private vehicle ownership, towards encouraging walking, bicycling and the use of public transportation.

Driving Performance in Older Adults: Current Measures, Findings, and Implications for Roadway Safety.

BACKGROUND AND OBJECTIVES: Over 10,000 people a day turn 65 in the United States. For many older adults, driving represents an essential component of independence and is one of the most important factors in overall mobility. Recent survey studies in older adults suggest that up to 60% of older adult drivers with mild cognitive impairment, and up to 30% with dementia, continue to drive. The purpose of this review is to provide a comprehensive and detailed resource on the topics of cognition and driving for clinicians, researchers, and policymakers working on efforts related to older adult drivers. RESEARCH DESIGN AND METHODS: Publications on PubMed and Medline and discussions with experts working in geriatrics, technology, driving policy, psychology, and diverse aspects of driving performance were utilized to inform the current review. RESULTS: Research indicates that there is a complex and inverse correlation between multiple cognitive measures, driving performance, and risky driving behaviors. The fragmented nature of available peer-reviewed literature, and a reliance on correlative data, do not currently allow for the identification of the temporal and reciprocal nature of the interplay between cognition and driving endpoints. DISCUSSION AND IMPLICATIONS: There are currently no widely accepted definitions, conceptual models, or uniform set of analyses for conducting geriatric research that is focused on driving. Establishing conventions for conducting research that harmonizes the fields of geriatrics, cognition, and driving research is critical for the development of the evidence base that will inform clinical practice and road safety policy.

Mobility Patterns Before, During, and Anticipated After the COVID-19 Pandemic: An Opportunity to Nurture Bicycling.

INTRODUCTION: The purpose of this study is to quantify the immediate and anticipated effect of the COVID-19 pandemic on local travel in the U.S. METHODS: A national survey of a representative sample of U.S. adults was conducted using The Harris Poll panel. The online survey was conducted from June 17 to 29, 2020. Respondents reported the frequency of travel before the pandemic, during the pandemic, and anticipated travel when normal activities resume for walking, bicycling, personal vehicle use, and public transit. Analyses were conducted in July and August 2020. RESULTS: During the pandemic, local travel significantly decreased (-10.36%, 95% CI= -16.26, -4.02) relative to prepandemic levels. Within travel modes, significant decreases were reported for public transit, personal vehicle use, and walking. There was no change in reported bicycle use during the pandemic period relative to prepandemic levels. When normal activities resume, respondents anticipated a significant increase in bicycling (24.54%, 95% CI=3.24, 50.24). Anticipated travel using personal vehicles, public transit, and walking were not significantly different from the prepandemic levels. CONCLUSIONS: Unlike the other local travel modes, bicycling did not decrease during the pandemic and is anticipated to significantly increase. Investment in bicycle-safe infrastructure could sustain the anticipated increase in bicycling.

Rideshare use among parents and their children.

Motor vehicle crashes are the leading cause of death for young children. Millions of ridesharing trips are taken each day, and use of these services is predicted to increase. Therefore, it is important to examine the safety of children in these vehicles. We conducted a survey of a nationally representative sample of U.S. adults aged 18 years or older (N = 2017). Of the total sample, 450 respondents reported being a parent or legal guardian of children below the age of 10. Of these, 307 or 68% had ever used ridesharing. Among those who had used ridesharing, a total of 253 or 82% reported using ridesharing with their children below the age of 10 years. Among this group, rideshare use was significantly higher among individuals with college education, and in higher income households. Given that the majority of U.S. states have legislation exempting rideshare vehicles from child restraint system law coverage, our finding of high rates of rideshare use among parents suggests that a large number of children could be at risk of injury due to a lack of appropriate restraint use.

Drug presence in driving deaths in Maryland: Comparing trends and prevalence in medical examiner and FARS data.

Accurate and reliable information on drug use by road users is essential to inform safety policy development but the reliability of national data has been questioned. There are two primary repositories of drug test information from fatal motor vehicle crashes in Maryland: (1) the Fatality Analysis Reporting System (FARS), which is a national crash database managed by the US Department of Transportation, and (2) the Maryland Medical Examiner (ME). In this study, we compared drug test information for people killed in crashes in Maryland between the FARS system and ME from 2006 - 2018. As ME records are the primary source for the FARS data from Maryland, these two data sets should be closely correlated. We used probabilistic linkage to match FARS and ME cases and compared matched cases by individual drug group. Matching was achieved on 83 % of cases (N = 4803 matched pairs). ME data consistently indicated higher overall incidence and trends in the presence of depressants, narcotics, and stimulants in crash deaths. Sensitivity analysis using both strict and relaxed matching criteria did not change this result. Road safety policy and prevention efforts for crashes involving drugs and alcohol require an accurate understanding of both long-term trends and year-to-year changes in drug prevalence. These findings demonstrate the potential value of using ME data as source of drug test information for crash deaths in the United States.