SEE-TREND: SEcurE Traffic-Related EveNt Detection in Smart Communities

Olariu, Stephan; Popescu, Dimitrie C.

doi:10.3390/s21227652

Cited by 5 publications

(3 citation statements)

References 69 publications

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“…Compared with foreign countries, domestic scholars' research is not in-depth, and they mainly focus on the concept and thinking of building the public management service platform and public information service of smart communities, but the research on its infuencing factor system is still not in-depth. Terefore, establishing the infuencing factor system of public management service quality of a smart city and using the fuzzy set method, smart communities can not only improve the ability of public information services from diferent aspects, but also improve the satisfaction of users and promote the healthy and sustainable development of smart communities [32,33].…”

Section: Related Workmentioning

confidence: 99%

Evaluation and Application of Public Management Service Quality of Smart City Based on Intelligent Computing

2023

International Transactions on Electrical Energy Systems

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The service quality of smart city public management is the direction of modern city management construction of Chinese local government, but the current work of smart city management construction and management is not perfect. Among them, the most obvious and prominent problem is that there is no evaluation system for the public management service quality of smart cities, which makes it difficult to achieve the expected effect in the actual construction process without considering all factors. In this case, it is necessary to establish a complete and effective smart city management evaluation system to ensure the rationality and effectiveness of urban management input, which is a problem that must be solved by the current smart city local government smart city public management service quality. In this context, this paper first introduces and analyzes the research background, purpose, and significance of public satisfaction with public information services in smart cities. The origin, significance, and application status of smart cities are sorted out, the relationship between them is elaborated, and the overall research framework is determined. Second, the evaluation model of public management service quality of a smart city based on the fuzzy analytic hierarchy process is constructed, and the theoretical basis of this satisfaction model is elaborated. Finally, the simulation results demonstrate the effectiveness and practicability of the proposed method.

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Section: Related Workmentioning

confidence: 99%

Evaluation and Application of Public Management Service Quality of Smart City Based on Intelligent Computing

2023

International Transactions on Electrical Energy Systems

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“…Due to the emergency medical services’ slow reaction, most fatalities and impairments in these incidents occur. The period immediately following a traumatic injury is referred to as the “golden hour,” during which rendering immediate, lifesaving surgery and medical care raise the likelihood of human survival by a mean of one-third ( Olariu & Popescu, 2021 ).…”

Section: Introductionmentioning

confidence: 99%

Machine learning based IoT system for secure traffic management and accident detection in smart cities

Balasubramanian

Balaji

Munshi

et al. 2023

PeerJ Computer Science

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In smart cities, the fast increase in automobiles has caused congestion, pollution, and disruptions in the transportation of commodities. Each year, there are more fatalities and cases of permanent impairment due to everyday road accidents. To control traffic congestion, provide secure data transmission also detecting accidents the IoT-based Traffic Management System is used. To identify, gather, and send data, autonomous cars, and intelligent gadgets are equipped with an IoT-based ITM system with a group of sensors. The transport system is being improved via machine learning. In this work, an Adaptive Traffic Management system (ATM) with an accident alert sound system (AALS) is used for managing traffic congestion and detecting the accident. For secure traffic data transmission Secure Early Traffic-Related EveNt Detection (SEE-TREND) is used. The design makes use of several scenarios to address every potential problem with the transportation system. The suggested ATM model continuously modifies the timing of traffic signals based on the volume of traffic and anticipated movements from neighboring junctions. By progressively allowing cars to pass green lights, it considerably reduces traveling time. It also relieves traffic congestion by creating a seamless transition. The results of the trial show that the suggested ATM system fared noticeably better than the traditional traffic-management method and will be a leader in transportation planning for smart-city-based transportation systems. The suggested ATM-ALTREND solution provides secure traffic data transmission that decreases traffic jams and vehicle wait times, lowers accident rates, and enhances the entire travel experience.

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“…In this sense, the concept of a smart city has been applied to address the challenges, such as pollution, congestion, and lack of social infrastructure [3][4][5], to make cities more efficient, sustainable, equitable, and livable [6][7][8]. As an aspect of smart cities, the implementation of smart urban mobility [9][10][11], such as promoting public transportation, establishing bike-sharing systems, and restricting the use of cars, can reduce traffic congestion and GHG emissions [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Life Cycle Assessment of Free-Floating Bike Sharing on Greenhouse Gas Emissions: A Case Study in Nanjing, China

Lai

Zhang

et al. 2021

Applied Sciences

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The free-floating bike sharing (FFBS) system appears in the form of low-carbon transport mode. Life cycle assessment (LCA) is a method to analyze the environmental impact of FFBS but has rarely considered the trip chain if the intermodal transport modes were employed. This paper proposes a mathematical formalization of LCA in response to the trip chain. The environmental benefit of FFBS was analyzed by this method considering the production, use, operation, and disposal phases in Nanjing. An online survey was conducted to analyze the mechanism of modal shift influenced by FFBS. The results showed that most respondents only use FFBS in the trip, with savings of 63.726 g CO2-eq/p·km, mainly shifting from lower-emission modes (28.30% from bus, 14.86% from metro, and 33.97% from non-motorized modes), while the trip mode of connecting public transport with FFBS could better replace the motorized transport trip and generate better low-carbon benefits with savings of 300.718 g CO2-eq/p·km. One FFBS should be used for at least 227 days to generate positive environmental benefits based on the current number of FFBS and the assumption of the utilization of each bike, which is once a day on average. The research results can effectively support the environmental benefit analysis of FFBS, the subsequent planning based on the low-carbon concept, and the implementation of relevant incentive policies.

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SEE-TREND: SEcurE Traffic-Related EveNt Detection in Smart Communities

Cited by 5 publications

References 69 publications

Evaluation and Application of Public Management Service Quality of Smart City Based on Intelligent Computing

Evaluation and Application of Public Management Service Quality of Smart City Based on Intelligent Computing

Machine learning based IoT system for secure traffic management and accident detection in smart cities

Life Cycle Assessment of Free-Floating Bike Sharing on Greenhouse Gas Emissions: A Case Study in Nanjing, China

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