A Knowledge Networking Approach for AI-driven Roundabout Risk Assessment

Deveaux, Duncan; Higuchi, Tetsuya; Uçar, Seyhan; Härri, Jérôme; Altintas, Onur

doi:10.23919/wons54113.2022.9764530

Cited by 3 publications

(3 citation statements)

References 10 publications

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“…In this regard, Elmanaa et al [100] developed a compact system for real-time processing of camera images, showing promise when applied to a three-leg roundabout for traffic surveillance, especially in resource-limited settings. In line with this, Deveaux et al [101] explored how knowledge model networking can minimize duplicate transmission and processing of comparable data. By analyzing vehicle exit probability distribution in a roundabout, they showcased the advantages of context-aware knowledge dissemination over contextindependent methods, including improved precision, reduced delays, and lower overhead.…”

Section: Optimization Of Traffic Flow At Roundabouts In the Transitio...mentioning

confidence: 99%

“…Research on traffic flow optimization, particularly concerning roundabouts, predominantly concentrates on evaluating the efficacy of novel assessment techniques integrating intelligent technologies into road infrastructure to enhance mobility [100][101][102][103][104][105][106][107][108][109]. In this regard, Elmanaa et al [100] developed a compact system for real-time processing of camera images, showing promise when applied to a three-leg roundabout for traffic surveillance, especially in resource-limited settings.…”

Section: Optimization Of Traffic Flow At Roundabouts In the Transitio...mentioning

confidence: 99%

“…Implementing robust privacy safeguards and encryption mechanisms is crucial [108]. Additionally, exploring data mining and artificial intelligence methods is imperative to understanding traffic dynamics, crucial for ensuring the safe navigation of roundabouts by CAVs amidst potential environmental awareness challenges [98,100,101,110]. In this regard, microsimulation techniques are invaluable for forecasting the safety and operational implications of integrating CAVs into traffic [21].…”

Section: Findings From Research On Roundabout Solutions In the Contex...mentioning

confidence: 99%

See 2 more Smart Citations

Insights into Simulated Smart Mobility on Roundabouts: Achievements, Lessons Learned, and Steps Ahead

Tumminello,

Macioszek,

Granà

2024

Sustainability

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This paper explores the domain of intelligent transportation systems, specifically focusing on roundabouts as potential solutions in the context of smart mobility. Roundabouts offer a safer and more efficient driving environment compared to other intersections, thanks to their curvilinear trajectories promoting speed control and lower vehicular speeds for traffic calming. The synthesis review supported the authors in presenting current knowledge and emerging needs in roundabout design and evaluation. A focused examination of the models and methods used to assess safety and operational performance of roundabout systems was necessary. This is particularly relevant in light of new challenges posed by the automotive market and the influence of vehicle-to-vehicle communication on the conceptualization and design of this road infrastructure. Two case studies of roundabouts were analyzed in Aimsun to simulate the increasing market penetration rates of connected and autonomous vehicles (CAVs) and their traffic impacts. Through microscopic traffic simulation, the research evaluated safety and performance efficiency advancements in roundabouts. The paper concludes by outlining areas for further research and evolving perspectives on the role of roundabouts in the transition toward connected and autonomous vehicles and infrastructures.

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Section: Optimization Of Traffic Flow At Roundabouts In the Transitio...mentioning

confidence: 99%

Section: Optimization Of Traffic Flow At Roundabouts In the Transitio...mentioning

confidence: 99%

Section: Findings From Research On Roundabout Solutions In the Contex...mentioning

confidence: 99%

See 1 more Smart Citation

Insights into Simulated Smart Mobility on Roundabouts: Achievements, Lessons Learned, and Steps Ahead

Tumminello,

Macioszek,

Granà

2024

Sustainability

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Comfort-Based AI-Driven Roundabout Control for Automated Vehicles

Moradi,

Nadar,

Härri

2023

2023 8th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)

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An AI-as-a-Service Platform for an Artificial Intelligence of Things (AIoT)

Nadar,

Härri

2024

2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring)

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With decentralized Machine Learning (ML) strategies and modern edge Tensor Processing Unit (TPUs), smart devices are no longer only consumers but also producers of Artificial Intelligence (AI), transforming an Internet of Things (IoT) into a global and decentralized Artificial Intelligence of Things (AIoT). With the availability of a large amount of AI actors comes not only the challenge to discover and network with them, but also the potential to use their AI capabilities as a service. However, the heterogeneity of the AI actors, their AI capabilities, AI contextual environment, mobility or even the AI characteristic available or sought requires not only a robust IoT architecture but also flexible AI semantics. In this paper, we present an AI-as-a-Service platform assisting AI consumers to identify existing AI tailored to their needs among the AIoT. We describe the architecture, the APIs, the message flows and AI semantics to identify the most appropriate AI workers when and where needed to efficiently generate AI models from distributed vehicles. As a proof-of-concept, we select an application scenario demonstrating the trainability/changeability of AI models between vehicles according to their context using the CARLA driving simulator.

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A Knowledge Networking Approach for AI-driven Roundabout Risk Assessment

Cited by 3 publications

References 10 publications

Insights into Simulated Smart Mobility on Roundabouts: Achievements, Lessons Learned, and Steps Ahead

Insights into Simulated Smart Mobility on Roundabouts: Achievements, Lessons Learned, and Steps Ahead

Comfort-Based AI-Driven Roundabout Control for Automated Vehicles

An AI-as-a-Service Platform for an Artificial Intelligence of Things (AIoT)

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