Perceptions of safety on a shared road: Driving, cycling, or walking near an autonomous vehicle

Pyrialakou, V. Dimitra; Gkartzonikas, Christos; Gatlin, J.Drew; Gkritza, Konstantina

doi:10.1016/j.jsr.2019.12.017

Cited by 79 publications

(29 citation statements)

References 24 publications

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“…Due to the different operating regulations of AVs in different regions, different public experiences were observed. Pyrialakou [20], in his research, explored the safety perceptions of the general public in terms of their potential roles as pedestrians, bicyclists, and drivers of conventional vehicles on shared roadways. It was observed that previous experience, testing, and knowledge of recent progress were positively correlated with perceived safety about AVs; on the other hand, awareness of the crashes and other safety-related incidents fueled safety concerns about AVs.…”

Section: Related Workmentioning

confidence: 99%

Application of the Theory of Planned Behavior in Autonomous Vehicle-Pedestrian Interaction

et al. 2022

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Automobile manufacturers, alongside technology providers, researchers, and public agencies, are conducting extensive testing to design autonomous vehicles (AVs) algorithms that will provide a complete understanding of road users, specifically pedestrians. Pedestrian behavior and actions determination are highly unpredictable depending on behavioral beliefs, context, and socio-demographic variables. Context includes everything that potentially affects one’s behavior; in AVs–pedestrian interaction, context may consist of weather conditions, road structure, social factors norms, and traffic volume. These influencing elements, therefore, need to be focused on during the development of pedestrian interaction algorithms. For this purpose, the pedestrian behavior questionnaire for FAVs (PBQF) is designed based on the theory of planned behavior (TPB). A total of almost 1000 voluntary participants completed this multilingual survey. As socio-demographic values and physiological perception varies with local norms, regions, and ethnicity, participants from 27 countries were therefore chosen to account for this variation. One of the key findings of this study is the influence of pedestrian attributes and the context on pedestrian behavior. Pedestrian action cannot be understood without visual observation of the pedestrian themselves and their context. The findings showed that pedestrians build communication with vehicles based on their driving styles. The vehicle’s driving style leads pedestrians to think that the vehicle is human-driven or autonomous. The results also revealed that pedestrians use several cues to show their intention. The general perception of AVs was also analyzed, and the communication between AVs and pedestrians with different displaying options was investigated.

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Section: Related Workmentioning

confidence: 99%

Application of the Theory of Planned Behavior in Autonomous Vehicle-Pedestrian Interaction

et al. 2022

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“…Similar to pedestrian-AV interaction, a number of studies have addressed the interaction between bicyclists and AVs [17] [24]- [31]. Other studies often considered both pedestrians and bicyclists together as vulnerable road users in the context of AV safety [32]- [37]. More often than not, the focus of bicycling-related studies has been on various types of technologies rather than the perception of bicyclists.…”

Section: Relevant Literaturementioning

confidence: 99%

Self-Perception and General Perception of the Safety Impact of Autonomous Vehicles on Pedestrians, Bicyclists, and People with Ambulatory Disability

Deka¹,

Brown²

2021

JTTs

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For autonomous vehicles (AVs) to receive general acceptance, society must have a positive perception about their safety impact on vulnerable road users. Using data from a statewide random-digit-dialing telephone survey of 1001 adults, this paper examines how New Jersey residents perceive the safety impact of AVs on pedestrians, bicyclists, and people with ambulatory disability. It uses a combination of confirmatory factor analysis and ordered probit models. Confirmatory factor analysis is used to create latent variables on socioeconomic status and built environment. Three ordered probit models are used to examine people's perception of AV safety impact on each of the three population groups. The models also examine how frequent walkers, bicyclists, and people with ambulatory disability perceive their own safety as well as the safety of the other two groups. All three models examine the effect of familiarity with AV, gender, age, income, education, race, ethnicity, number of vehicles in household, political party affiliation, as well as built environment and socioeconomic status of the municipalities where the survey respondents live. The analysis showed that men, people with familiarity with the AV concept, Democrats, bicyclists, and people with high household income generally have a positive perception about the safety impact of AVs. While frequent walkers are ambivalent about their own safety as pedestrians, bicyclists have a positive perception about their own safety and the safety of pedestrians, whereas people with ambulatory disability have a strong negative perception about their own safety. The models did not show statistically significant effects of socioeconomic status or built environment of municipalities on AV safety perception.

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“…On the one hand, it is commonly accepted that autonomous vehicles are safer since their operation excludes the human factor [4]. But in fact, the situation is not so clear-cut and some researches reveal conflicting points of view on the issue of autonomous vehicles' security [5]. Herewith the security issue of all road users including pedestrians arises.…”

Section: Autonomous Vehiclesmentioning

confidence: 99%

Transport Security in the Sustainable Development of the City: Legal Aspect

Владимирович

2020

E3S Web Conf.

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A sustainable city imposes stringent requirements on transport infrastructure. Nowadays the city transport must meet a number of criteria. That means it has to be advanced, environmentally compliant, and safe. Herewith, transport must be safe for a driver and his passengers as well as for other road users (such as pedestrians and others). Recently, alternative modes of transport have become widespread in the cities. This includes personal electric transport: segway, self-balancing scooter, electric scooter, unicycle, etc). Some countries have been already operating autonomous vehicles within the urban traffic whereas in other countries they are undergoing final testing before their release on urban roads. In large cities and metropolises, carsharing service which has already proven its effectiveness is actively developing. The usual modes of city transport are also improving. For instance, the taxi has been almost completely brought under the control of web-aggregators (“Uber” and others). All of that requires thorough scientific research in the sphere of ensuring transport security which is the indispensable condition of the sustainable city concept.

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Perceptions of safety on a shared road: Driving, cycling, or walking near an autonomous vehicle

Cited by 79 publications

References 24 publications

Application of the Theory of Planned Behavior in Autonomous Vehicle-Pedestrian Interaction

Application of the Theory of Planned Behavior in Autonomous Vehicle-Pedestrian Interaction

Self-Perception and General Perception of the Safety Impact of Autonomous Vehicles on Pedestrians, Bicyclists, and People with Ambulatory Disability

Transport Security in the Sustainable Development of the City: Legal Aspect

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