Context—Aware Smart Reliable Service Model for Intelligent Transportation System Based on Ontology

Swarnamugi, M.; Chinnaiyan, R.

doi:10.1007/978-3-030-29407-6_3

Cited by 9 publications

(4 citation statements)

References 5 publications

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“…5 Dr and others studied the influence of UAV height and UAV spacing on network coverage in two scenarios of no interference and full interference in UAV Communication. 6 Wang and others believe that the research on privacy protection of UAV data transmission mainly focuses on node identity authentication, information confidentiality, message integrity and authentication, anti-replay attack and other aspects, so as to realize the secure communication method of UAV. In terms of node identity authentication.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Some scholars proposed to design a centralized UAV deployment algorithm based on grid discretization and Tabu search to achieve network coverage and optimize network throughput in combination with the requirements of user location, actual transmission rate between UAVs and traffic between UAVs 5 . Dr and others studied the influence of UAV height and UAV spacing on network coverage in two scenarios of no interference and full interference in UAV Communication 6 . Wang and others believe that the research on privacy protection of UAV data transmission mainly focuses on node identity authentication, information confidentiality, message integrity and authentication, anti‐replay attack and other aspects, so as to realize the secure communication method of UAV.…”

Section: Literature Reviewmentioning

confidence: 99%

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Cooperative networking and information processing system of wireless communication UAV under the background of intelligent service

Chen

2024

Computational Intelligence

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In order to solve the huge impact of the digital information age on many technical and industrial fields, a periodic fast search genetic algorithm is proposed. Based on the reconnaissance mission, this paper introduces the common allocation strategy into mission planning, and constructs the mathematical model of multi unmanned aerial vehicle (UAV) cooperative reconnaissance mission planning decision‐making. The proposed periodic fast search genetic algorithm is used to solve the problem of multi UAV cooperative reconnaissance mission planning. In 2020, the industry growth rate of global UAV technology expenditure was as high as 30.6%, and the compound growth rate of UAV in China reached 63.5%, which is enough to see the great prospect of the integrated development of UAV technology and different industries. The experiment evaluates the log verification module of UAV by comparing the two data structures of Merkle tree and linear, and the time and memory overhead of storing and verifying logs, which shows the effectiveness of the log verification scheme in this paper.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Cooperative networking and information processing system of wireless communication UAV under the background of intelligent service

Chen

2024

Computational Intelligence

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“…Concerning planning for smart mobility, the issues concern intelligent transportation systems to improve safety and efficiency of the urban services [179][180][181], creating new services for citizen such as parking guidance and information [182,183], and use mobility data to support decision making [178].…”

Section: Issues For Urban Planningmentioning

confidence: 99%

Smart City Ontologies and Their Applications: A Systematic Literature Review

Nicola

Villani

2021

Sustainability

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The increasing interconnections of city services, the explosion of available urban data, and the need for multidisciplinary analysis and decision making for city sustainability require new technological solutions to cope with such complexity. Ontologies have become viable and effective tools to practitioners for developing applications requiring data and process interoperability, big data management, and automated reasoning on knowledge. We investigate how and to what extent ontologies have been used to support smart city services and we provide a comprehensive reference on what problems have been addressed and what has been achieved so far with ontology-based applications. To this purpose, we conducted a systematic literature review finalized to presenting the ontologies, and the methods and technological systems where ontologies play a relevant role in shaping current smart cities. Based on the result of the review process, we also propose a classification of the sub-domains of the city addressed by the ontologies we found, and the research issues that have been considered so far by the scientific community. We highlight those for which semantic technologies have been mostly demonstrated to be effective to enhance the smart city concept and, finally, discuss in more details about some open problems.

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“…Many countries around the globe have widely accepted and started implementing intelligent transportation systems as a solution to the current road tra c management practices [1]. Research in ITS aims to afford services relating to different modes of road transport and assist users to be better informed on road safety and make safer, coordinated, comfort and smarter use of transportation [2].…”

Section: Introductionmentioning

confidence: 99%

Modelling and Reasoning Techniques for Context – Aware Computing in Intelligent Transportation System

Swarnamugi

Chinnaiyan²

2021

Preprint

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The emergence of IoT technology and recent advancement in sensor networks enabled transportation systems to a new dimension called Intelligent Transportation System (ITS). Due to increased usage of vehicles and communication among entities in road traffic scenarios, the amount of raw data generation in ITS is huge. This raw data are to be processed to infer contextual information and provide new services related to different modes of road transport such as traffic signal management, accident prediction, object detection etc.,. To understand the importance of context, this article aims to study context-awareness in the Intelligent Transportation System. We present a review on prominent applications developed in the literature concerning context – awareness in the intelligent transportation system. The objective of this survey article is (i) to highlight context and its features in ITS (ii) to address the applicability of modelling techniques and reasoning approaches in ITS (iii) to shed light on impact of IoT and machine learning in ITS development.

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Context—Aware Smart Reliable Service Model for Intelligent Transportation System Based on Ontology

Cited by 9 publications

References 5 publications

Cooperative networking and information processing system of wireless communication UAV under the background of intelligent service

Cooperative networking and information processing system of wireless communication UAV under the background of intelligent service

Smart City Ontologies and Their Applications: A Systematic Literature Review

Modelling and Reasoning Techniques for Context – Aware Computing in Intelligent Transportation System

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