Factors affecting intelligent transport systems towards a smart city: a critical review

Tran, Chau; Tat, T.; Tam, Vivian W.Y.; Tran, Duc Hoc

doi:10.1080/15623599.2022.2029680

Cited by 12 publications

(5 citation statements)

References 43 publications

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“…Legislation should clearly outline who has legal responsibility and insurance liability in the case of damage caused by autonomous robots or vehicles [30]. In fact, appropriate governmental policies are deemed necessary by Tran et al [31] to develop and implement a successful ITS infrastructure with autonomous vehicles. Ethical dilemmas may also arise if, for example, an autonomous vehicle must choose between protecting the driver or safeguarding a passer-by in emergency situations.…”

Section: Cyber-physical Challenges and Technical Barriersmentioning

confidence: 99%

Intelligent Embedded Systems Platform for Vehicular Cyber-Physical Systems

2023

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Intelligent vehicular cyber-physical systems (ICPSs) increase the reliability, efficiency and adaptability of urban mobility systems. Notably, ICPSs enable autonomous transportation in smart cities, exemplified by the emerging fields of self-driving cars and advanced air mobility. Nonetheless, the deployment of ICPSs raises legitimate concerns surrounding safety assurance, cybersecurity threats, communication reliability, and data management. Addressing these issues often necessitates specialised platforms to cater to the heterogeneity and complexity of ICPSs. To address this challenge, this paper presents a comprehensive CPS to explore, develop and test ICPSs and intelligent vehicular algorithms. A customisable embedded system is realised using a field programmable gate array, which is connected to a supervisory computer to enable networked operations and support advanced multi-agent algorithms. The platform remains compatible with multiple vehicular sensors, communication protocols and human–machine interfaces, essential for a vehicle to perceive its surroundings, communicate with collaborative systems, and interact with its occupants. The proposed CPS thereby offers a practical resource to advance ICPS development, comprehension, and experimentation in both educational and research settings. By bridging the gap between theory and practice, this tool empowers users to overcome the complexities of ICPSs and contribute to the emerging fields of autonomous transportation and intelligent vehicular systems.

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Section: Cyber-physical Challenges and Technical Barriersmentioning

confidence: 99%

Intelligent Embedded Systems Platform for Vehicular Cyber-Physical Systems

2023

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“…PrivacySignal [4], a traffic signal control system preserves the privacy of users and efficient system performance is shown by a theoretical analysis and simulation experiments. The authors in [5] classified 28 parameters into 5 categories being government, financial constraints, inadequate transport infrastructure, the overdevelopment of urbanization and the readiness and integration of ITS. A systematic understanding of urban mobility is provided for government, planners, agencies and designers.…”

Section: Related Workmentioning

confidence: 99%

An Optimal Security Framework Based on Driver Authentication for Intelligent Transportation Systems

Yadav

Rishi

2023

LOGI – Scientific Journal on Transport and Logistics

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Security and safety have been a critical issue in the field of Intelligent Transportation Systems. Security of both people and vehicles is a matter of concern. In this paper, an authentication-based security framework is designed to serve the purpose. Only authorized users are provided access to the vehicle. The drivers are first registered for driving the vehicle from an authorized and valid source. The next step is the authentication check before one can be given access to the vehicle. There are two alternative methods provided for the authentication check in the solution depending upon the situation the vehicle is in. The solution is an optimally viable solution from the security perspective of the real-time Intelligent Transportation System environment. The results have shown that the security solution fits into the domain very well and performs as per expectations. The solution has been tested on a Vehicle Tracking Device connected to a vehicle. The same solution can be extended to a fleet of vehicles.

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“…Identifying a cost-effective investment strategy is not trivial and it is likely to differ depending on the nature of the city and its residents, thus, requires reliable modelling. The impact of surrounding factors on the effectiveness of proposed urban mobility solutions is examined in (Tran et al, 2022) and underlines the interrelation between government policies, economic factors, transport infrastructure, urban planning, and the readiness for the uptake of proposed mobility solutions. IoT systems offer a means to collect and process relevant information from anywhere at any time and, when combined with AI (i.e., Intelligent IoT), could yield accurate modelling of different aspects of the city with high fidelity and in real-time (or right-time).…”

Section: Modelling Urban Mobility For Effective Transformationmentioning

confidence: 99%

IoT and machine learning for enabling sustainable development goals

Jaber

2023

Front. Comms. Net.

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The United Nations drafted an agenda for 2030 to achieve sustainable development with 17 well-defined goals which are an urgent call for action requiring collaboration and innovation across countries and organisations. The year 2023 marks the midpoint toward fulfilling the proposed agenda but the world is still behind in attaining any of the set goals. This article discusses the opportunities offered by the rise of the Internet of Things and advances in artificial intelligence in ushering these goals with tangible use cases that relate to health, energy, and cities. Moreover, the article exposes the challenges that emerge from applying these technologies in the realisation of sustainable development goals (SDG) with underlined risks related to bias, security, data privacy, and the multi-objective optimisation of often competing SDGs.

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Factors affecting intelligent transport systems towards a smart city: a critical review

Cited by 12 publications

References 43 publications

Intelligent Embedded Systems Platform for Vehicular Cyber-Physical Systems

Intelligent Embedded Systems Platform for Vehicular Cyber-Physical Systems

An Optimal Security Framework Based on Driver Authentication for Intelligent Transportation Systems

IoT and machine learning for enabling sustainable development goals

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