Persons with physical disabilities and autonomous vehicles: The perspective of the driving status

Petrovic, Dan; Mijailović, Radomir; Pešić, Dalibor

doi:10.1016/j.tra.2022.08.009

Cited by 8 publications

(2 citation statements)

References 34 publications

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“…Delphine et al [27] used a BN to analyze the probabilistic interrelationships between various aspects of AVs and revealed the safety potential of AVs to reduce traffic injuries and fatalities. Đorđe et al [28] investigated the differences in the willingness of people with disabilities to accept AVs and used a Bayesian linear regression model to analyze this, and the model worked well.…”

Section: Methods Of Analysismentioning

confidence: 99%

Research on the Public’s Intention to Use Shared Autonomous Vehicles: Based on Social Media Data Mining and Questionnaire Survey

Liao,

Guo,

Shi

2024

Sustainability

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While the emergence of shared autonomous vehicles can be an effective solution to improve transport issues and achieve sustainable development, the benefits associated with shared autonomous vehicles can only be realized when the public intends to use them. Therefore, it is necessary to conduct an in-depth study on the public’s intention to use shared autonomous vehicles and identify the key influencing factors. This study mined social media data to obtain real public perceptions. A qualitative exploratory analysis was used to identify thematic variables regarding social media data on shared autonomous vehicles, from which a research model of the public’s intention to use SAVs was proposed. Then, a questionnaire survey was conducted, and the structural equation model and Bayesian network were used to analyze the questionnaire data quantitatively. The findings reveal how perceived risk, social information, trust, perceived usefulness, and personality traits affect the public’s intention to use shared autonomous vehicles, and how to enhance the public’s intention to use them. This study will enrich the research on traveler psychology in the context of intelligent travel and provide theoretical basis and decision support for future policies to promote shared autonomous vehicles.

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Section: Methods Of Analysismentioning

confidence: 99%

Research on the Public’s Intention to Use Shared Autonomous Vehicles: Based on Social Media Data Mining and Questionnaire Survey

Liao,

Guo,

Shi

2024

Sustainability

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“…It was indicated that the main aspects of AV successful introductions were trust, accessibility, and attitudes. Also, AVs represented the great potential for improving accessibility to transportation and ensuring transportation equities 39 .…”

Section: Introductionmentioning

confidence: 99%

Modeling the effect of autonomous vehicles (AVs) on the accessibility of the transportation network

Mirzahossein,

Mashhadloo

2024

Sci Rep

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The utilization of autonomous vehicles (AVs) has emerged as a pivotal factor in addressing the rising costs and safety concerns associated with modern travel. As technology advances and traffic challenges intensify, enhancing accessibility stands out as a critical goal for transportation experts. Accessibility, constrained by factors like travel time, underscores the increasing need for AVs to mitigate these limitations. This study aimed to model the influence of AVs on the accessibility index within transportation networks and discuss system optimization based on user equilibrium (UE) and system optimum (SO) outcomes. The research conducted numerical analysis employing the Hearn network as a fundamental system to validate a mixed assignment model and ascertain baseline accessibility. Additionally, the Sioux Falls network, a medium-sized network, was employed for analysis. A hybrid heuristic assignment algorithm was introduced, concurrently assigning different percentages of AV presence alongside the remaining non-AV percentage in three distinct scenarios. These scenarios ranged from 0 to 100% AV presence: the first scenario maintained constant network capacity, the second scenario adjusted network capacity based on AV presence, and the third scenario incorporated capacity adjustments in the assignment stage. In all three scenarios, network accessibility was evaluated using gravity and accessibility index methods derived from the hybrid assignment model output. The findings demonstrated that as the percentage of AVs increased, accessibility improved in both Hearn and Sioux Falls networks across all scenarios. The second and third scenarios exhibited higher accessibility increases compared to the first, attributable to augmented capacity resulting from increased AV presence. In the Sioux Falls network, the first scenario showed enhanced SO and UE due to increased AV presence and enhanced system operator management. Conversely, the second and third scenarios, with increased AVs and subsequent capacity increments, displayed reduced UE and SO results. Despite the decline in UE and SO, traffic flow assignment and overall network accessibility improved. These findings highlight the positive correlation between AV presence, network capacity, and enhanced accessibility. The study underscores the potential benefits of AV integration in optimizing transportation networks and improving overall accessibility, albeit with nuances in capacity adjustments impacting traffic flow dynamics. Further research avenues could explore complex traffic flow scenarios and delve into more specific optimization strategies.

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Which Factors Contribute to the Mobility of Persons with Physical Disabilities? Case Study in Serbia

Petrović,

Mijailović,

Pešić

2024

New Challenges for Sustainable Urban Mobility: Volume II

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Persons with physical disabilities and autonomous vehicles: The perspective of the driving status

Cited by 8 publications

References 34 publications

Research on the Public’s Intention to Use Shared Autonomous Vehicles: Based on Social Media Data Mining and Questionnaire Survey

Research on the Public’s Intention to Use Shared Autonomous Vehicles: Based on Social Media Data Mining and Questionnaire Survey

Modeling the effect of autonomous vehicles (AVs) on the accessibility of the transportation network

Which Factors Contribute to the Mobility of Persons with Physical Disabilities? Case Study in Serbia

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