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Internet of Things Based Solutions for transport Network Vulnerability Assessment in intelligent transportation systems

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Computers, Materials & Continua 2020年第12期65卷 2511-2527页

作者： Weiwei Liu Yang Tang Fei Yang Chennan Zhang Dun Cao Gwang-jun Kim Business School University of Shanghai for Science and TechnologyShanghai200093China Zhejiang University Urban and Rural Planning&Design Institute Hangzhou310023China School of Computer&Communication Engineering Changsha University of Science&TechnologyChangsha410004China Department of Computer Engineering Chonnam National UniversityGwangju61186Korea

intelligent transportation System(ITS)is essential for effective identification of vulnerable units in the transport network and its stable ***,it is necessary to establish an urban transport network vulnerability assessment model with solutions based on Internet of Things(IoT).Previous research on vulnerability has no congestion effect on the peak time of urban road *** cascading failure of links or nodes is presented by IoT monitoring system,which can collect data from a wireless sensor network in the transport *** IoT monitoring system collects wireless data via Vehicle-to-Infrastructure(V2I)channels to simulate key segments and their failure ***,the topological structure vulnerability index and the traffic function vulnerability index of road network are extracted from the vulnerability *** two indices are standardized by calculating the relative change rate,and the comprehensive index of the consequence after road network unit is in a failure ***,by calculating the failure probability of road network unit and comprehensive index of road network unit in failure state,the comprehensive vulnerability of road network can be evaluated by a risk calculation *** short,the IoT-based solutions to the new vulnerability assessment can help road network planning and traffic management departments to achieve the ITS goals.

关键词： Internet of Things intelligent transport systems vulnerability assessment transport network

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Blockchain-enabled decentralized identity management:The case of self-sovereign identity in public transportation

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Blockchain(Research and Applications) 2021年第2期2卷 50-67页

作者： Lukas Stockburger Georgios Kokosioulis Alivelu Mukkamala Raghava Rao Mukkamala Michel Avital Department of Digitalization Copenhagen Business SchoolHowitzvej 60FrederiksbergDK-2000Denmark Department of Technology Kristiania University CollegeKirkegata 24-260153 OsloNorway

Identity management has been ripe for disruption over the past few years due to recurring incidents of data breaches that have led to personal information leaks and identity *** rise of blockchain technology has paved the way for the development of self-sovereign identity(SSI)—a new class of user-controlled resilient identity management systems that are enabled by distributed ledger *** paper examines how SSI management can be used in a public transportation sector that spans different operators in multiple ***,the paper explores how a blockchain-based decentralized identity management system can draw on the SSI framework to provide high-level security and transparency for all involved parties in public transportation ***,building on analyses of the existing public transportation ticketing solutions,we elicited requirements of a comparable system based on the SSI ***,we developed a low-fidelity prototype to showcase how passengers can utilize standardized travel credentials that are valid across different transportation networks in *** proposed system eliminates the need for multiple travel cards(i.e.,one for each transportation provider)and empowers individuals to have better control over the use of their identities while they utilize interoperable ticketing systems across ***,building on the public transportation case,we offer a proof-of-concept that shows how individuals can better manage their identity credentials via the SSI framework.

关键词： Identity management Self-sovereign identity Blockchain Distributed ledger intelligent transport systems Payment systems infrastructure

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Optimal control and energy storage for DC electric train systems using evolutionary algorithms

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Railway Engineering Science 2021年第4期29卷 327-335页

作者： Sam Nallaperuma David Fletcher Robert Harrison University of Cambridge CambridgeUK University of Sheffield SheffieldUK

Electrified railways are becoming a popular transport medium and these consume a large amount of electrical *** concerns demand reduction in energy use and peak power demand of railway ***,high transmission losses in DC railway systems make local storage of energy an increasingly attractive *** optimisation framework based on genetic algorithms is developed to optimise a DC electric rail network in terms of a comprehensive set of decision variables including storage size,charge/discharge power limits,timetable and train driving style/trajectory to maximise benefits of energy storage in reducing railway peak power and energy *** results for the considered real-world networks show a reduction of energy consumption in the range 15%–30%depending on the train driving style,and reduced power peaks.

关键词： Autonomous control intelligent transport systems Energy optimisation DC railway systems Energy regeneration

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