Advanced Technologies for Intelligent Transportation Systems

Picone, Marco; Busanelli, Stefano; Amoretti, Michele; Zanichelli, Francesco; Ferrari, Gianluigi

doi:10.1007/978-3-319-10668-7

Cited by 28 publications

(25 citation statements)

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“…In addition, traffic safety could be increased even more by integrating intelligent communication systems into vehicles that enable the exchange of sensor data between the road users and the road infrastructure to broaden the information base for decision making of drivers and AVs in safety critical situations (Endsley & Garland, ; Picone, Busanelli, Amoretti, Zanichelli, & Ferrari, ). Through optimized routing and traffic flow management, resources will be used more efficiently, which reduces congestion and CO 2 emissions (Fagnant & Kockelman, ; Ross, ) and enables smart platooning (Haboucha, Ishaq, & Shiftan, ).…”

Section: Introductionmentioning

confidence: 99%

sCARy! Risk Perceptions in Autonomous Driving: The Influence of Experience on Perceived Benefits and Barriers

2018

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The increasing development of autonomous vehicles (AVs) influences the future of transportation. Beyond the potential benefits in terms of safety, efficiency, and comfort, also potential risks of novel driving technologies need to be addressed. In this article, we explore risk perceptions toward connected and autonomous driving in comparison to conventional driving. In order to gain a deeper understanding of individual risk perceptions, we adopted a two‐step empirical procedure. First, focus groups (N=17) were carried out to identify relevant risk factors for autonomous and connected driving. Further, a questionnaire was developed, which was answered by 516 German participants. In the questionnaire, three driving technologies (connected, autonomous, conventional) were evaluated via semantic differential (rating scale to identify connotative meaning of technologies). Second, participants rated perceived risk levels (for data, traffic environment, vehicle, and passenger) and perceived benefits and barriers of connected/autonomous driving. Since previous experience with automated functions of driver assistance systems can have an impact on the evaluation, three experience groups have been formed. The effect of experience on benefits and barrier perceptions was also analyzed. Risk perceptions were significantly smaller for conventional driving compared to connected/autonomous driving. With increasing experience, risk perception decreases for novel driving technologies with one exception: the perceived risk in handling data is not influenced by experience. The findings contribute to an understanding of risk perception in autonomous driving, which helps to foster a successful implementation of AVs on the market and to develop public information strategies.

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Section: Introductionmentioning

confidence: 99%

sCARy! Risk Perceptions in Autonomous Driving: The Influence of Experience on Perceived Benefits and Barriers

2018

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“…Continuous monitoring is vital to successful network operations of any type of industrial or urban infrastructure, regardless whether this is for transportation, energy systems of all types, communications or IT systems, water and sewage systems, etc [8][9][10]. SCADA systems not only exercise supervisory control but also provide vital data acquisition to ensure that network operations are as they should be.…”

Section: Operation Monitoringmentioning

confidence: 99%

Secure Controls for Smart Cities; Applications in Intelligent Transportation Systems and Smart Buildings

Hyman¹,

Alisha²,

Gordon³

2019

IJSEA

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Internet of Things (IoT) is an emerging concept in smart infrastructures describing a wide ecosystem where interconnected devices and services collect, exchange and process data in order to adapt dynamically to a context. IoT is tightly bound to cyberphysical systems and in this respect is an enabler of Smart Infrastructures by enhancing their quality of service provisioning. Smart infrastructure, enabled by technologies like IoT, offer numerous of advantages bringing serious cost savings and efficiencies. These kinds of data-driven environments, fueled by connected devices and network connectivity, become a new attack surface for cyber threats. Cyber security approaches develop guidance to secure IoT and Smart Infrastructures from cyber threats, by highlighting good security practices and proposing recommendations to operators, manufacturers and decision makers. In this paper, cyber security approaches are analyzed in a smart city infrastructure.

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“…While a large number of definitions and descriptions of the IoT exist, this is one definitional/descriptive quote from the author's previous work, which we utilize here: "The basic concept of the IoT is to enable objects of all kinds to have sensing, actuating, and communication capabilities, so that locally-intrinsic or extrinsic data can be collected, processed, transmitted, concentrated, and analyzed for either cyber-physical goals at the collection point (or perhaps along the way), or for process/environment/systems analytics (of a predictive or historical nature) at a processing center, often "in the cloud". Applications range from infrastructure and criticalinfrastructure support (for example smart grid, Smart City, smart building, and transportation), to end-user applications such as e-health, crowdsensing, and further along, to a multitude of other applications where only the imagination is the limit" [13][14][15][16][17][18][19][20][21][22][23][24][25][26][27]. According to the Global System for Mobile Communications Association (GSMA), between 2018 and 2025, the number of global IoT connections will triple to 25 billion, while global IoT revenue will quadruple to $1.1 trillion [28]; others offer higher numbers (e.g., according to Statistica there will be about 80 billion IoT devices worldwide in 2025 [29]).…”

Section: Introductionmentioning

confidence: 99%

Practical Aspects for the Integration of 5G Networks and IoT Applications in Smart Cities Environments

Minoli

Occhiogrosso

2019

Wireless Communications and Mobile Computing

105

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Both 5G cellular and IoT technologies are expected to see widespread deployment in the next few years. At the practical level, 5G will see initial deployments in urban areas. This is perhaps fortuitous from an IoT perspective, since many “mainstream” applications of IoT will support Smart Cities, Smart Campuses and Smart Buildings. Bandwidth demand for a number of Smart City applications is the main driver for enhanced mobile broadband (eMBB)-based 5G services in general, and new-generation 5G IoT applications, in particular. In turn, the use of the millimeter wave spectrum is required to enable 5G cellular technologies to support high data rates. Millimeter wave solutions, however, impose a requirement for small cells. Generally, an implementer tries to use one or a small handful of IoT technologies; preferably, and for managerial simplicity, the implementer would want to use a cellular/5G IoT technology for all nodes, whether indoors or outdoors, instead of a heterogenous mix of various IoT technologies that have evolved over the years. This overview paper discusses a number of practical issues related to 5G-based IoT applications, particularly in Smart City environments, including the need for small cells, the transmission issues at millimeter wave frequencies, building penetration issues, the need for Distributed Antenna Systems, and the near term introduction of pre-5G IoT technologies such as NB-IoT and LTE-M, these being possible proxies for the commercial deployment and acceptance of 5G IoT.

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Advanced Technologies for Intelligent Transportation Systems

Cited by 28 publications

References 0 publications

sCARy! Risk Perceptions in Autonomous Driving: The Influence of Experience on Perceived Benefits and Barriers

sCARy! Risk Perceptions in Autonomous Driving: The Influence of Experience on Perceived Benefits and Barriers

Secure Controls for Smart Cities; Applications in Intelligent Transportation Systems and Smart Buildings

Practical Aspects for the Integration of 5G Networks and IoT Applications in Smart Cities Environments

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