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Mădălin-Dorin Pop

Bio: Mădălin-Dorin Pop is an academic researcher from Politehnica University of Timișoara. The author has contributed to research in topics: Intelligent transportation system & Traffic flow. The author has an hindex of 4, co-authored 13 publications receiving 55 citations.

Papers
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Journal ArticleDOI
TL;DR: In this paper, the authors proposed a theoretical model for the Romanian higher educational current pandemic situation based on students' perception regarding face-to-face, online and hybrid systems.
Abstract: First-year students undergo several transformations like the transition from high school to university schedules, teaching methods, and discipline specificities to social changes that come with meeting new colleagues or moving to other locations far from family and friends. The COVID-19 outbreak brought additional concerns and uncertainties once educational systems implemented distance learning schemes for public health management. Nevertheless, higher educational organizations preferred to implement hybrid approaches for student engagement motivation and high dropout rate avoidance. In Romania, such an educational system has been applied with caution. Since the pandemic needs to be understood as an opportunity for adaptation and education improvements, the purpose of the present paper is to uncover lessons learned and to develop a systematized model based on students' perception regarding face-to-face, online and hybrid systems. For this reason, a grounded theory approach has been preferred. Thus, 149 Romanian students enrolled in the first year in engineering specialities with ages between 18-26 years both male (50.3%) and female (49.7%) have answered the research questions in an online environment due to pandemic restrictions. Based on the online asynchronous student interviews, 220 codes and a further 13 categories have been developed. After a pertinent analysis of the relationships between categories and relevant literature sorting, a theoretical model for the Romanian higher educational current pandemic situation has been proposed. The main face-to-face and online education characteristics are outlined, the hybrid approach becoming a bridge between the two systems. Management implications are outlined together with further research directions.

39 citations

Journal ArticleDOI
TL;DR: A comparison between the implementation of smart city approach in different locations from Romania is presented, consisting in a combination of Internet of Things and Information and Communication Technology to manage city issues.

27 citations

Journal ArticleDOI
TL;DR: The purpose of this paper is to present an approach of optimization tool using in order to decrease the traffic congestion and the crossing time of a road network.

13 citations

Journal ArticleDOI
27 Sep 2020-Sensors
TL;DR: A new multidisciplinary approach combining microscopic traffic modeling theory with intelligent control systems concepts like fuzzy inference in the traffic model calibration is proposed, and the chosen Takagi–Sugeno fuzzy inference system proves its adaptive capacity for real-time systems.
Abstract: Nowadays, the intelligent transportation concept has become one of the most important research fields. All of us depend on mobility, even when we talk about people, provide services, or move goods. Researchers have tried to create and test different transportation models that can optimize traffic flow through road networks and, implicitly, reduce travel times. To validate these new models, the necessity of having a calibration process defined has emerged. Calibration is mandatory in the modeling process because it ensures the achievement of a model closer to the real system. The purpose of this paper is to propose a new multidisciplinary approach combining microscopic traffic modeling theory with intelligent control systems concepts like fuzzy inference in the traffic model calibration. The chosen Takagi–Sugeno fuzzy inference system proves its adaptive capacity for real-time systems. This concept will be applied to the specific microscopic car-following model parameters in combination with a Kalman filter. The results will demonstrate how the microscopic traffic model parameters can adapt based on real data to prove the model validity.

9 citations

Proceedings ArticleDOI
01 Jul 2019
TL;DR: A new car-following model capable to adapt to multiple lanes roads, where the followed vehicle can be changed at any time, based on lane change drivers' decisions is delivered.
Abstract: Car-following modeling is one of the most used approaches for road traffic modeling. It ensures a detailed overview of vehicles behavior at microscopic traffic modeling level, taking into account some primary parameters like velocity, acceleration/deceleration, the distance between vehicles etc. A big disadvantage of this model is that is single-lane oriented, studying the current vehicle behavior based only on vehicle ahead behavior. The purpose of this paper is to deliver a new car-following model capable to adapt to multiple lanes roads, where the followed vehicle can be changed at any time. In this case, a big challenge will be the integration of a new vehicle in the established car-following model. This study attempts to estimate these different cases of lane-change based on a Bayesian reasoning estimation, facilitating the new vehicle integration on the current lane. Results will show the advantage of having a multiple lanes road traffic overview in adopting a proper traffic strategy, from the possible routes that can be reached point of view, based on lane change drivers' decisions.

7 citations


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Journal ArticleDOI
17 Aug 2020
TL;DR: This paper serves as a guide to the most recent developments of smart cities standards and presents the study of smart city definitions and domain to better recognize the smart city concept.
Abstract: Smart cities employ technology and data to increase efficiencies, economic development, sustainability, and life quality for citizens in urban areas. Inevitably, clean technologies promote smart cities development including for energy, transportation and health. The smart city concept is ambitious and is being refined with standards. Standards are used to help with regulating how smart cities function and contributing to define a smart city. Smart cities must be officially recognized by national and international authorities and organizations in order to promote societal advancement. There are many research and review articles on smart cities. However, technical standards are seldom discussed in the current literature. This review firstly presents the study of smart city definitions and domain. The well-known smart city standards will be presented to better recognize the smart city concept. Well-defined standards allow meaningful comparisons among smart cities implementation. How smart city initiatives make a city smarter and improve the quality of life will be discussed for various countries. This review highlights that technical standards are important for smart cities implementation. This paper serves as a guide to the most recent developments of smart cities standards.

130 citations

Journal ArticleDOI
20 Oct 2021-PLOS ONE
TL;DR: In this paper, the authors highlight the factors which have influenced how students perceive their academic performance during this emergency changeover to e-learning and provide a basis for policy recommendations to support decision-makers incorporate elearning issues in the current and any new similar circumstances.
Abstract: The outbreak of the COVID-19 pandemic has dramatically shaped higher education and seen the distinct rise of e-learning as a compulsory element of the modern educational landscape. Accordingly, this study highlights the factors which have influenced how students perceive their academic performance during this emergency changeover to e-learning. The empirical analysis is performed on a sample of 10,092 higher education students from 10 countries across 4 continents during the pandemic's first wave through an online survey. A structural equation model revealed the quality of e-learning was mainly derived from service quality, the teacher's active role in the process of online education, and the overall system quality, while the students' digital competencies and online interactions with their colleagues and teachers were considered to be slightly less important factors. The impact of e-learning quality on the students' performance was strongly mediated by their satisfaction with e-learning. In general, the model gave quite consistent results across countries, gender, study fields, and levels of study. The findings provide a basis for policy recommendations to support decision-makers incorporate e-learning issues in the current and any new similar circumstances.

40 citations

Journal ArticleDOI
TL;DR: The objective of this study is to set up a supervised machine learning (ML)-based method for the identification and classification of the SHS of a differently cracked road pavement based on its vibro-acoustic signature, and results are encouraging.
Abstract: The current methods that aim at monitoring the structural health status (SHS) of road pavements allow detecting surface defects and failures. This notwithstanding, there is a lack of methods and systems that are able to identify concealed cracks (particularly, bottom-up cracks) and monitor their growth over time. For this reason, the objective of this study is to set up a supervised machine learning (ML)-based method for the identification and classification of the SHS of a differently cracked road pavement based on its vibro-acoustic signature. The method aims at collecting these signatures (using acoustic-sensors, located at the roadside) and classifying the pavement’s SHS through ML models. Different ML classifiers (i.e., multilayer perceptron, MLP, convolutional neural network, CNN, random forest classifier, RFC, and support vector classifier, SVC) were used and compared. Results show the possibility of associating with great accuracy (i.e., MLP = 91.8%, CNN = 95.6%, RFC = 91.0%, and SVC = 99.1%) a specific vibro-acoustic signature to a differently cracked road pavement. These results are encouraging and represent the bases for the application of the proposed method in real contexts, such as monitoring roads and bridges using wireless sensor networks, which is the target of future studies.

37 citations

Journal ArticleDOI
TL;DR: The objective of this study is to draw guidelines for the designer that can establish the proper sizing of the PVSS, based on the energy consumption of the SHM system, according to multiple factors, such as typology and number of sensors, frequency of measurements, duty cycle, and days of autonomy.
Abstract: Internet of Things (IoT) solutions guarantee the high performance requested by users and authorities in terms of efficiency, sustainability, connectivity, and durability for modern transportation infrastructures, allowing, at the same time, small size, low power consumption, wireless transmission and easily deployable solutions. IoT monitoring systems powered through Energy Harvesting Technologies (EHTs) are often indicated as the most efficient solutions to address these requests because of several advantages (e.g., remote management simplification, independence from electricity grid). In this paper, the most used EHTs in the field of road infrastructures were analyzed and, among them, a photovoltaic standalone system (PVSS) was selected and considered as the power supply unit of an electronic structural health monitoring (SHM) system. In particular, a network of sensor units (SUs), wirelessly connected to one central unit (CU), acting as an innovative road pavement monitoring system solution was taken in account as benchmark. Consequently, the objective of this study is to draw guidelines for the designer that can establish the proper sizing of the PVSS, based on the energy consumption of the SHM system, according to multiple factors, such as typology and number of sensors, frequency of measurements, duty cycle, and days of autonomy. RÉSUMÉ. Les solutions d’Internet des objets (IdO) garantissent la haute performance demandée par les utilisateurs et les autorités en termes d’efficacité, de durabilité, de connectivité et de durabilité pour les infrastructures de transport modernes, permettant à la fois une petite dimension, une faible consommation d’énergie, une transmission sans fil et des solutions faciles à déployer. Les systèmes de surveillance d’IdO alimentés par les technologies de récolte d'énergie (EHTs, le sigle de « Energy Harvesting Technologies » en anglais) sont souvent indiqués comme les solutions les plus efficaces pour répondre à ces demandes en raison de plusieurs avantages (par exemple, la simplification de la gestion à distance, l'indépendance du réseau électrique). Dans cet article, les EHTs les plus souvent utilisées dans le domaine des infrastructures routières ont été analysés et, parmi eux, un système photovoltaïque autonome (PVSS, le sigle 606 I2M. Volume 17 – n° 4/2018 de « photovoltaic standalone system » en anglais) a été sélectionné et considéré comme l'unité d'alimentation électrique d'un système électronique de contrôle de santé intégré (CSI). En particulier, un réseau d'unités de capteurs (SU, le sigle de « sensor unit » en anglais) connecté sans fil à une unité centrale (CU, le sigle de « central unit » en anglais) qui fonctionne en tant que solution des systèmes de surveillance des chaussées routières innovantes a été pris en compte comme standard. Par conséquent, l’objectif de cette étude est d’élaborer des lignes directrices pour le concepteur en eux permettant d’établir le bon dimensionnement du PVSS, en fonction de la consommation d’énergie du système de CSI anisi que des multiples facteurs, tels que la typologie et le nombre de capteurs, la fréquence des mesures. , cycle de travail et jours d'autonomie.

32 citations

Journal ArticleDOI
TL;DR: Simulation results showed that the proposed system outperforms the traditional management system and could be a candidate for the traffic management system in future Smart Cities.
Abstract: The present era is marked by rapid improvement and advances in technology. One of the most essential areas that demand improvement is the traffic signal, as it constitutes the core of the traffic system. This demand becomes stringent with the development of Smart Cities. Unfortunately, road traffic is currently controlled by very old traffic signals (tri-color signals) regardless of the relentless effort devoted to developing and improving the traffic flow. These traditional traffic signals have many problems including inefficient time management in road intersections; they are not immune to some environmental conditions, like rain; and they have no means of giving priority to emergency vehicles. New technologies like Vehicular Ad-hoc Networks (VANET) and Internet of Vehicles (IoV) enable vehicles to communicate with those nearby and with a dedicated infrastructure wirelessly. In this paper, we propose a new traffic management system based on the existing VANET and IoV that is suitable for future traffic systems and Smart Cities. In this paper, we present the architecture of our proposed Intelligent Traffic Management System (ITMS) and Smart Traffic Signal (STS) controller. We present local traffic management of an intersection based on the demands of future Smart Cities for fairness, reducing commute time, providing reasonable traffic flow, reducing traffic congestion, and giving priority to emergency vehicles. Simulation results showed that the proposed system outperforms the traditional management system and could be a candidate for the traffic management system in future Smart Cities. Our proposed adaptive algorithm not only significantly reduces the average waiting time (delay) but also increases the number of serviced vehicles. Besides, we present the implemented hardware prototype for STS.

29 citations