Perceived Opportunities and Challenges of Autonomous Demand-Responsive Transit Use: What Are the Socio-Demographic Predictors?

F Golbabaei, T Yigitcanlar, A Paz, J Bunker - Sustainability, 2023 - mdpi.com
The adoption of autonomous demand-responsive transit (ADRT) to support regular public
transport has the potential to enhance sustainable mobility. There is a dearth of research on …

How testing impacts willingness to use and share autonomous shuttles with strangers: The mediating effects of trust and optimism

O Aasvik, M Hagenzieker, P Ulleberg… - International Journal of …, 2024 - Taylor & Francis
This study investigates acceptance of shared autonomous shuttles (SASs) in a suburban
area. A model where contextual variables were mediated through trust in SASs and …

Navigating autonomous demand responsive transport: stakeholder perspectives on deployment and adoption challenges

F Golbabaei, A Paz, T Yigitcanlar… - International Journal of …, 2024 - Taylor & Francis
As cities implement intelligent systems and public transportation users seek flexibility,
autonomous demand-responsive transport (ADRT) will play an important role in a region's …

Continuance intention of autonomous buses: An empirical analysis based on passenger experience

Y Yan, S Zhong, J Tian, T Li - Transport Policy, 2022 - Elsevier
The aim of this study was to understand passengers' continuance use intention with respect
to autonomous buses (ABs) based on actual riding experience. Therefore, an extended …

Analysing public acceptance of autonomous buses based on an extended TAM model

Z Wu, H Zhou, H Xi, N Wu - IET Intelligent Transport Systems, 2021 - Wiley Online Library
Integrating advantages of automated driving and mass transport, autonomous buses have
broad development prospects. The research on the public acceptance of autonomous buses …

[HTML][HTML] Empirical analysis of battery-electric bus transit operations in Portland, OR, USA

B Kapatsila, E Grisé, M Crumley… - … Research Part D …, 2024 - Elsevier
This study aims to understand the difference in operational performance between electric,
hybrid, and diesel buses in Portland, OR. We estimated a running time model, and a …

Smart tramway Systems for Smart Cities: a deep learning application in ADAS systems

M Guerrieri, G Parla - International Journal of Intelligent Transportation …, 2022 - Springer
Artificial intelligence and deep learning-based techniques undoubtedly are the future of
Advanced Driver-Assistance Systems (ADAS) technologies. In this article is presented a …

[HTML][HTML] “Robots taking over the world… fantastic!” Understanding social representations, familiarity and visions of experiments with autonomous public transportation

TE Julsrud, M Aasen - Energy Research & Social Science, 2024 - Elsevier
Autonomous public transport (APT) represents a potentially important innovation in the
transition to a low-carbon transport system. Niche operators around the world are currently …

Using affective criteria in the decision-making of cognitive agents on flexible passenger transportation domain

D Cabrera-Paniagua, C Azola… - Journal of Ambient …, 2023 - Springer
Flexible passenger transportation occurs in response to the rigidity of the routes and travel
conditions offered by conventional public transportation systems. In this modality, both origin …

User experience and usability when the automated driving system fails: Findings from a field experiment

P Liu, Z Jiang, T Li, G Wang, R Wang, Z Xu - Accident Analysis & Prevention, 2021 - Elsevier
We are entering an era of automated vehicles (AVs), which has potential to improve road
safety considerably. A compelling user experience is crucial to AV adoption in the future …