A Brief History of Smart Transportation Infrastructure

Oswald, Kathleen F.

doi:10.3167/trans.2016.060310

Cited by 5 publications

(3 citation statements)

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“…On the other hand, there may be fleets of shared (possibly electric) vehicles marketed by digital-tech companies, which may be brought into more public systems with a higher degree of automation if controlled within a 'smart city' infrastructure. These 'transition pathways' (Fraedrich et al, 2015) for the future of autonomous systems involve differing levels of ownership and sharing, and both are occurring simultaneously and in competition, thereby creating a hybrid system (Oswald, 2016;Smolnicki and Sołtys, 2016).…”

Section: Transforming Systemsmentioning

confidence: 99%

Autonomous automobilities: The social impacts of driverless vehicles

et al. 2018

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Autonomous vehicles are one of the most highly anticipated technological developments of our time, with potentially wide-ranging social implications. Where dominant popular discourses around autonomous vehicles have tended to espouse a crude form of technological determinism, social scientific engagements with autonomous vehicles have tended to focus on rather narrow utilitarian dimensions related to regulation, safety or efficiency. This article argues that what is therefore largely missing from current debates is a sensitivity to the broader social implications of autonomous vehicles. The article aims to remedy this absence. Through a speculative mode, it is shown how a mobilities approach provides an ideal conceptual lens through which the broader social impacts of autonomous vehicles might be identified and evaluated. The argument is organized across four dimensions: transformations to experiences, inequalities, labour and systems. The article develops an agenda for critical sociological work on automated vehicles; and it calls on sociologists to contribute much-needed critical voices to the institutional and public debates on the development of autonomous vehicles.

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Section: Transforming Systemsmentioning

confidence: 99%

Autonomous automobilities: The social impacts of driverless vehicles

et al. 2018

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“…Our third layer of the proposed architecture is focused upon the geographical dimension of the STSS, which will exert spatial-temporal impacts on overall security at a macro scale. It emphasizes the confluence of public infrastructures in facilitating transportation security and smart communication technologies [25], as what John Urry calls 'nexus systems' [26]. Public infrastructural designs based on communication technologies connect both transport entities and users to end services (e.g.…”

Section: Public Infrastructural and Geospatial Indicatorsmentioning

confidence: 99%

An Architecture for IoT-Enabled Smart Transportation Security System: A Geospatial Approach

Zhang

Wang

et al. 2021

IEEE Internet Things J.

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Internet of things (IoT) in urban transportation systems have been ubiquitously embedded into a variety of devices and transport entities. The IoT-enabled smart transportation system (STS) has thus gained growing tractions amongst scholars and practitioners. However, several IoT challenges in relation to cyber-physical security are exposed due to the heterogeneity, complexity and decentralization of the IoT network. There also exist geospatial security concerns with respect to the embeddings of 5G networks into public infrastructures that are interconnected with the transport system via IoT. To address these concerns, this paper aims to apply geospatial modelling approach to propose a Smart Transportation Security Systems (STSS). It is modelled and simulated by undertaking an experimental study in the city of Beijing, China. The simulation outcome of the proposed architecture is expected to offer a strategic guide for strategic security management of urban smart transportation.

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“…2 Simultaneously, governments and industry are investing in smart infrastructure such as wireless communication networks to support the automation of driving. 3 It is difficult to overstate the impact that reliable, capable, computer-driven vehicles will have on the economy, public health, and even social identities. 4 Google first publicly acknowledged its efforts to develop self-driving technology, including testing in live traffic, in October 2010.…”

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confidence: 99%

More Than Trolleys

Goodall

2019

Transfers

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As the act of driving becomes increasingly automated, vehicles will encounter situations where different objectives of safety, mobility, and legality will come into conflict. These situations require a vehicle to compare relative values of different entities and objectives, where the action of the vehicle has a moral component. While discussion of these scenarios often focuses on the “trolley problem” thought experiment, these types of life-or-death moral dilemmas may be rare in practice. This article identifies four far more common examples of routine driving that require decisions with some level of ethical reasoning about how to distribute risk. These scenarios may be useful for automated vehicle developers in assessing vehicle safety and responding to potential future regulations, as well as for regulators in developing performance requirements.

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A Brief History of Smart Transportation Infrastructure

Cited by 5 publications

References 0 publications

Autonomous automobilities: The social impacts of driverless vehicles

Autonomous automobilities: The social impacts of driverless vehicles

An Architecture for IoT-Enabled Smart Transportation Security System: A Geospatial Approach

More Than Trolleys

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