Drivers and Barriers to Implementation of Connected, Automated, Shared, and Electric Vehicles: An Agenda for Future Research

Mahdavian, Amirsaman; Shojaei, Alireza; Mccormick, Scott; Papandreou, Timothy; Eluru, Naveen; Oloufa, Amr A.

doi:10.1109/access.2021.3056025

Cited by 45 publications

(22 citation statements)

References 49 publications

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“…The noticeable percentage of distracted young drivers at intersections indicates that this issue needs urgent attention to prevent the occurrence of these crashes. The effects of state-of-the-art technologies to improve the attentiveness of young drivers while driv-ing and provide them with modern onboard devices to avoid distraction have been studied [70][71][72]. For instance, the connected vehicle (CV) and driving assistance (DA) technologies have the ability to reduce 94% of crashes in the U.S. that are due to either human error or bad/wrong decisions [73].…”

Section: Regression Analysismentioning

confidence: 99%

The Analysis of Spatial Patterns and Significant Factors Associated with Young-Driver-Involved Crashes in Florida

et al. 2022

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Over the last three decades, traffic crashes have been one of the leading causes of fatalities and economic losses in the U.S.; compared with other age groups, this is especially concerning for the youth population (those aged between 16 and 24), mostly due to their inexperience, greater inattentiveness, and riskier behavior while driving. This research intends to investigate this issue around selected Florida university campuses. We employed three methods: (1) a comparative assessment for three selected counties using both planar Euclidean Distance and Roadway Network Distance-based Kernel Density Estimation methods to determine high-risk crash locations, (2) a crash density ratio difference approach to compare the maxima-normalized crash densities for the youth population and those victims that are 25 and up, and (3) a logistic regression approach to identify the statistically significant factors contributing to young-driver-involved crashes. The developed GIS maps illustrate the difference in spatial patterns of young-driver crash densities compared to those for other age groups. The statistical findings also reveal that intersections around university areas appear to be significantly problematic for youth populations, regardless of the differences in the general perspective of the characteristics of the selected counties. Moreover, the speed limit countermeasures around universities could not effectively prevent young-driver crash occurrences. Hence, the results of this study can provide valuable insights to transportation agencies in terms of pinpointing the high-risk locations around universities, assessing the effectiveness of existing safety countermeasures, and developing more reliable plans with a focus on the youth population.

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Section: Regression Analysismentioning

confidence: 99%

The Analysis of Spatial Patterns and Significant Factors Associated with Young-Driver-Involved Crashes in Florida

et al. 2022

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“…A systematic safety assessment framework is needed to standardize the AT operations, reduce potential risks, and enhance the overall reliability. 15 Trentesaux et al…”

Section: General Issues Associated With Autonomous Trainsmentioning

confidence: 99%

Deployment of Autonomous Trains in Rail Transportation: Current Trends and Existing Challenges

et al. 2021

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Automation is expected to effectively address the growing demand for passenger and freight transportation, safety issues, human errors, and increasing congestion. The growth of autonomous vehicles using the state-of-the-art connected vehicle technologies has paved the way for the development of passenger and freight autonomous trains (ATs), also known as driverless trains. ATs are fully automated trains that are centrally controlled using advanced communication and internet technologies, such as highspeed internet (5G) technology, Internet of Things, dedicated short range communications, digital video detection cameras, and artificial intelligence-based methods. The current study focuses on a detailed up-todate review of the existing trends, technologies, advancements, and challenges in the deployment of ATs with a full automation level in rail transportation. The basic AT features along with the key technologies that are instrumental for the AT deployment and operations are discussed in detail. Furthermore, a comprehensive evaluation of the state-of-the-art research efforts is performed as well with a specific emphasis on the issues associated with the AT deployment, user perception and outlook for ATs, innovative concepts and models that could be used for the AT design, and the AT operations at highway-rail grade crossings. Based on the conducted review, this study determines the main advantages and challenges from the AT deployment. The identified challenges have to be collaboratively addressed by the relevant stakeholders, including railroad companies, researchers, and government representatives, to facilitate the AT development and deployment considering the perspectives of future users and without affecting the safety level.INDEX TERMS Autonomous trains, driverless trains, connected vehicles, autonomous vehicles, automation trends, automation challenges.

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“…Similarly, contextual factors such as purchase prices, incentives [11], level of familiarity [12], and travel and waiting times [13] have an impact on the willingness to use autonomous shuttles. One of the most important aspects for acceptance, however, is the perceived safety regarding AVs [5,[14][15][16][17][18][19]. As Level 4 and especially Level 5 AVs would be a new form of transport with the lack of a human driver, users need to trust and feel secure in driverless shuttles as a necessary prerequisite of acceptance (as research on the acceptance of automated systems has shown [20]).…”

Section: Introductionmentioning

confidence: 99%

Factors Influencing and Contributing to Perceived Safety of Passengers during Driverless Shuttle Rides

Claudia¹,

Zankl²,

Klieber³

et al. 2021

Future Transportation

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This study investigates the perceived safety of passengers while being on board of a driverless shuttle without a steward present. The aim of the study is to draw conclusions on factors that influence and contribute to perceived safety of passengers in driverless shuttles. For this, four different test rides were conducted, representing aspects that might challenge passengers’ perceived safety once driverless shuttles become part of public transport: passengers had to ride the shuttle on their own (without a steward present), had to interact with another passenger, and had to react to two different unexpected technical difficulties. Passengers were then asked what had influenced their perceived safety and what would contribute to it. Results show that perceived safety of passengers was high across all different test rides. The most important factors influencing the perceived safety of passengers were the shuttle’s driving style and passengers’ trust in the technology. The driving style was increasingly less important as the passengers gained experience with the driverless shuttle. Readily available contact with someone in a control room would significantly contribute to an increase in perceived safety while riding a driverless shuttle. For researchers, as well as technicians in the field of autonomous driving, our findings could inform the design and set-up of driverless shuttles in order to increase perceived safety; for example, how to signal passengers that there is always the possibility of contact to someone in a control room. Reacting to these concerns and challenges will further help to foster acceptance of AVs in society. Future research should explore our findings in an even more natural setting, e.g., a controlled mixed traffic environment.

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Drivers and Barriers to Implementation of Connected, Automated, Shared, and Electric Vehicles: An Agenda for Future Research

Cited by 45 publications

References 49 publications

The Analysis of Spatial Patterns and Significant Factors Associated with Young-Driver-Involved Crashes in Florida

The Analysis of Spatial Patterns and Significant Factors Associated with Young-Driver-Involved Crashes in Florida

Deployment of Autonomous Trains in Rail Transportation: Current Trends and Existing Challenges

Factors Influencing and Contributing to Perceived Safety of Passengers during Driverless Shuttle Rides

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