Fully Autonomous Buses: A Literature Review and Future Research Directions

Azad, Mojdeh; Hoseinzadeh, Nima; Brakewood, Candace; Cherry, Christopher R.; Lee, Han

doi:10.1155/2019/4603548

Cited by 75 publications

(39 citation statements)

References 29 publications

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“…This approach is particularly useful in dealing with attitude questions, as many of the attitudes may be correlated, especially when there is a large number of attitudinal questions. This approach has been widely used for travel behavior application to identify individuals' attitudes using a large number of responses to the SP surveys (Alemi et al, 2018;Azad et al, 2019;Charness et al, 2018;Haboucha et al, 2017;Malokin et al, 2019;Payre et al, 2014;Sharda et al, 2019;von Behren et al, 2018;Mahdinia et al, 2017;Yap et al, 2016;Ye & Titheridge, 2017;Yen et al,1994). The next section will elaborate on PCA and the procedure to identify attitudes.…”

Section: Principal Component Analysismentioning

confidence: 99%

The Impacts of Emerging Mobility Options and Vehicle Technologies on Travel Behavior

Cutr¹

2020

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This report presents a study that investigated potential travel behavior changes in light of automated, connected, electric, and shared-use vehicle (ACES) technologies. Three main aspects of choice behavior were investigated: AV adoption and willingness to pay (WTP), shared mobility adoption, and mode choice. Particularly, this study focuses on exploring the roles of attitudes in individuals' travel choice behavior. Data collected through a stated preference (SP) survey were used for this study. The survey included a series of attitude-related questions that cover various aspects of user attitudes, which include general mobility preferences, perceived benefits and concerns of shared mobility, reasons against or for private ownership, and motivations for and desired features of AVs. Various modeling techniques were employed to identify influential factors and examine the impacts of attitudes, including error component models, structural equations model, and support vector machine method. The models identified various attitudes that played significant roles in individuals' choice behavior. These include joy of driving, technology-savviness, choice reasoning, trust issues, data privacy concerns, favor for private-vehicle utility, on-demand services, green travel preferences, and desire for efficiency and technology, etc. Model results showed that attitudes played important roles in shaping travelers' choice behavior. Incorporating these factors improved the model performance and prediction accuracy of travel behavior models, which will lead to a more reliable assessment of the likelihood and magnitude of behavioral shifts toward future mobility options. This study provides useful and meaningful insights into users' attitudes and perceptions toward ACES technologies and how these attitudes and other contributing factors may influence travelers' choice behavior. Recognizing that the market will not react homogeneously toward new technologies, the study results contribute to a better understanding of user acceptance and adoption of emerging mobility options and better assessment of their potential impacts. The findings could be helpful for planners and service providers to better plan for and address the needs and concerns of travelers.

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Section: Principal Component Analysismentioning

confidence: 99%

The Impacts of Emerging Mobility Options and Vehicle Technologies on Travel Behavior

Cutr¹

2020

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“…Thus, a likely early step in AEV deployment would be to expand public transit (Azad et al, 2019). Perhaps the best opportunity is to integrate it with Bus Rapid Transit deployment (Miebach, 2019).…”

Section: Public Transportationmentioning

confidence: 99%

A Sustainability Interrogation of the Autonomous Vehicle at Its Society-Technology Interface

Martin

2019

Bulletin of Science, Technology & Society

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This analysis of the emergent automated vehicle technology focuses on the friction at its interface with society, clouding its future. The sequential focus of development → deployment is reconfigured as reciprocal: society ↔ technology. A best path forward is presented that incorporates environmental and social sustainability factors as they relate to climate change and public health. The path’s signpost is automated electric vehicles deployed in public and private fleets. This course has promise to recover automobility from the damaging, unsustainable legacy of personal internal combustion vehicles—highlighted by their toxic and carbon emissions, and road casualties.

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“…From this perspective and based on the growth of autonomous shuttles in urban public environments could enable new services to deal with the new challenges posed by large cities, which requires the combination of the mobility of people and goods [17]. In particular, several pilot experimentations prove significant technology development results, as well as the citizens' acceptance in many cities all over the world, in countries such as Germany, France, Switzerland, Finland, Sweden, The Netherlands, and Estonia, as presented by recent research [17,18].…”

Section: Introductionmentioning

confidence: 99%

Autonomous Shuttle-as-a-Service (ASaaS): Challenges, Opportunities, and Social Implications

Bucchiarone

Battisti

Marconi

et al. 2021

IEEE Trans. Intell. Transport. Syst.

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Modern cities are composed of complex socio-technical systems that exist to provide services effectively to their residents and visitors. In this context, smart mobility systems aim to support the efficient exploitation of the city transport facilities as well as sustainable mobility within the urban environment. People need to travel quickly and conveniently between locations at different scales, ranging from a trip of a few blocks within a city to a journey across cities or further. At the same time, goods need to be timely delivered considering the needs of both the users and the businesses. While most of the mobility and delivery solutions can cover significant distances and multiple requests, they suffer when the requests come from the growing neighborhoods and hard-to-reach areas such as city centers, corporate headquarters, and hospitals. In the last few years, several cities indicated interest in using Autonomous Vehicles (AV) for the "last-mile" mobility services. With them, it seems to be easier to get people and goods around using fewer vehicles. In this context, Autonomous Shuttles (AS) are beginning to be thought of as a new mobility/delivery service into the city center where narrow streets are not easily served by traditional buses. They allow them to serve critical areas with minimal new infrastructure and reducing noise and pollution. The goal of this article is to present an innovative vision on the introduction of the Autonomous Shuttles-as-a service (ASaaS) concept as the key pillar for the realization of innovative and sustainable proximity mobility. Through a set of real application scenarios, we present our view, and we discuss a set of challenges, opportunities, and social implications that this way to reimage the mobility of the future introduces.

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Fully Autonomous Buses: A Literature Review and Future Research Directions

Cited by 75 publications

References 29 publications

The Impacts of Emerging Mobility Options and Vehicle Technologies on Travel Behavior

The Impacts of Emerging Mobility Options and Vehicle Technologies on Travel Behavior

A Sustainability Interrogation of the Autonomous Vehicle at Its Society-Technology Interface

Autonomous Shuttle-as-a-Service (ASaaS): Challenges, Opportunities, and Social Implications

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