Application of Cybersecurity Approaches within Smart Cities and ITS

Tichý, Tomáš; Brož, Jiří; Šmerda, Tomáš; Lokaj, Zdenek

doi:10.1109/scsp54748.2022.9792554

Cited by 12 publications

(6 citation statements)

References 26 publications

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“…The defined distributions of the dataset met the requirements of the model and corresponds to its needs for the verification of the above-defined hypothesis. The reasons we chose to mount the thermal camera on the column arm of the traffic lights instead of on the tunnel portal are mainly due to the difficulties in placing equipment (cameras) that must be connected to the Ethernet network and the power supply, and due to cybersecurity [69], the lack of cable reserves, and untested technology in the tunnels including obtaining the necessary permits from the authorities. According to the design documentation and legislation in the Czech Republic for tunnels, the equipment in tunnels is classified as critical infrastructure elements and therefore of high security, including fire protection and so on.…”

Section: Discussionmentioning

confidence: 99%

“…This method of detection might significantly develop new ITS trends in tunnels, especially adding data for cooperative C-ITS systems [11]. Last, but not least, the security of data transmission in the tunnel system, their protection in case of detection of persons, and ensuring cyber security are burning issues which need to be investigated [69].…”

Section: Discussionmentioning

confidence: 99%

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Use of One-Stage Detector and Feature Detector in Infrared Video on Transport Infrastructure and Tunnels

et al. 2023

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This article presents the use of the combination of the object detection method and feature detector in an infrared video on traffic infrastructure and in tunnels. The theme of the paper is the validation of vehicle detection and its classification using infrared video streams. In addition, the article focuses on the use of a feature detector and object detection to distinguish between vehicles with electric and combustion motors. The method suggests the use of a low-resolution thermal camera as an inexpensive extension of installed thermal camera technologies. The developed system has been verified for the applicability of vehicle detection and classification using object detection methods and their application in transport infrastructure and tunnels. It also presents a method for distinguishing propulsion units into electric and internal combustion; both systems’ conclusions are then statistically verified. The application of the system is evident in regional traffic management systems, including safety applications for traffic control in tunnels. Categorizing vehicles provides valuable information for higher levels of traffic management, toll systems, and municipal database systems, as well as for a preventive system for estimating vehicle conditions and their potential of fire in tunnels.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Use of One-Stage Detector and Feature Detector in Infrared Video on Transport Infrastructure and Tunnels

et al. 2023

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“…Systems for the detection of transport of dangerous goods, license plate recognition, type of vehicles, stationary vehicle inside a tunnel, etc., are becoming mandatory for new road structures. Distinguishing between hybrid, combustion engine, end EV is also a necessary piece of information when a fire occurs [141].Yet with the rise of such systems, the field of security should also grow [142]. It is important not only to keep the system running but ensure its reliability, integrity, resiliency, security, and data privacy.…”

Section: Limitations and Research Challengesmentioning

confidence: 99%

Passenger Occupancy Estimation in Vehicles: A Review of Current Methods and Research Challenges

et al. 2023

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Passenger detection and occupancy estimation are vital tasks in many fields. The existing literature emphasises that the increasing demand for such systems will continue to grow. This paper reviews the existing literature specializing in the field of transportation safety and efficiency concerning occupancy estimation in vehicles and passenger detection at public transport stations. A comparison between different approaches to passenger estimation is presented. Discussion on the advantages and disadvantages is highlighted. Hence, this paper provides an analysis of 146 papers on the current state of the field. This review paper concludes that invasive methods provide high accuracy with relatively cheap implementation, while noninvasive systems do not violate passenger privacy but lack state-of-the-art accuracy. Future work will include a systematic literature review and a comparative analysis of systems considering the existing window tinting and solar windshields heavily blocking certain parts of the electromagnetic spectrum. Moreover, future work will investigate the critical challenges of noninvasive passenger estimation in different types of vehicles: trucks, buses, or even motorcycles.

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“…The development of better-maintained buildings and spaces between them can improve citizen satisfaction, as well as create new opportunities through Smart facility management approaches at the urban scale, thus in line with Smart Cities concepts. Digitization of services on a city scale is still underutilized [3,4].…”

Section: Municipal Facility Managementmentioning

confidence: 99%

Potential of Computed Aided Facility Management for Urban Water Infrastructure with the Focus on Rainwater Management

Szeligova

Faltejsek

Teichmann

et al. 2022

Water

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This article focuses on the information modeling of buildings and its subsequent extension to the information modeling of cities, which can be considered as the main topics of the construction industry development. It offers new knowledge for city management, facility management and other fields of construction sector. Information modeling of buildings and cities creates a suitable basis for the creation of various simulations (acoustic, thermal, environmental influence, sunlight or the spread of pollution) and analyses. Simulations and results obtained from them can help us in the decision-making phase, they predict problems or unexpected situations during the life cycle of cities and buildings, and thus make it possible to prevent their occurrence. In the second part of the contribution, an innovative model, the so-called R-WIM, is presented. BIM modeling methods were used for the research and extended to the public environment. The expansion of the public environment digitization enables to obtain a sufficient amount of information about the public space and then subsequently combine them with static weather data. This model deals with Urban Water Infrastructure with the focus on Rainwater Management and has been developed for the particular needs of individual municipalities in the process of solving problem situations associated with rainwater, which is very current due to climate change, and municipalities require appropriate tools to predict the behavior of rainwater so that various compensatory measures can be created.

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Application of Cybersecurity Approaches within Smart Cities and ITS

Cited by 12 publications

References 26 publications

Use of One-Stage Detector and Feature Detector in Infrared Video on Transport Infrastructure and Tunnels

Use of One-Stage Detector and Feature Detector in Infrared Video on Transport Infrastructure and Tunnels

Passenger Occupancy Estimation in Vehicles: A Review of Current Methods and Research Challenges

Potential of Computed Aided Facility Management for Urban Water Infrastructure with the Focus on Rainwater Management

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