Article
Thermodynamics
Changyin Wei, Yong Chen, Xiaoyu Li, Xiaozhe Lin
Summary: This paper proposes an adaptive equivalent consumption minimization strategy for extender range electric logistics vehicles, which aims to improve fuel economy and optimize power allocation. By combining driving pattern recognition and state-of-charge reference planning, the proposed method can adjust control actions in real time, leading to significant reduction in energy consumption and battery power transients.
Article
Engineering, Civil
Mohammad Siami, Mohsen Naderpour, Jie Lu
Summary: Mobile telematics is a new innovation that collects driving behavior data using smartphone sensors instead of in-vehicle recorders. Data without labels makes it difficult to extract patterns, requiring unsupervised learning algorithms. Research often uses non-real-world datasets, highlighting the need for advancements in unsupervised techniques and real-world data analysis.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
Article
Ecology
Juan C. Gonzalez-Velez, Maria C. Torres-Madronero, J. Murillo-Escobar, Juan Carlos Jaramillo-Fayad
Summary: The study used artificial intelligence algorithms to predict the accumulation points of WVC in eastern Antioquia, Colombia, and identified specific features related to WVC. The random forests algorithm combined with ADASYN balancing technique performed the best in spatial-wise cross-validation, exceeding the current state-of-the-art.
ECOLOGICAL INFORMATICS
(2021)
Article
Engineering, Civil
Hui Li, Yongquan Chen, Keqiang Li, Chong Wang, Bokui Chen
Summary: This paper introduces the concept of the Internet and proposes the idea of the Transportation Internet (TI) as a solution for sustainable transportation in the face of new challenges such as automation, connection, electrification, and sharing. The framework of TI is established based on the construction ideas of the Internet, and a transportation router is proposed to form a large-scale automatic transportation solution. Additionally, the paper presents software-defined transportation (SDT) which enhances transportation routing and provides Internet-like capabilities. The evaluation of the prototype system shows promising results in terms of energy savings.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Chen Chen, Yuru Zhang, Mohammad R. Khosravi, Qingqi Pei, Shaohua Wan
Summary: Intelligent Transportation System (ITS) plays a crucial role in the sustainable development of urban transportation within smart cities, by integrating smart sensors with transportation infrastructure. Recent advancements suggest that the use of autonomous vehicles will improve traffic efficiency and reduce fuel consumption. Platooning technology, as a representative driving pattern of autonomous vehicles, has great potential to lower fuel consumption and increase traffic efficiency, as demonstrated by a systematic framework for vehicular platooning forming.
IEEE SENSORS JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Anusha Vangala, Basudeb Bera, Sourav Saha, Ashok Kumar Das, Neeraj Kumar, Youngho Park
Summary: The study introduces a novel blockchain-enabled certificate-based authentication scheme, BCAS-VADN, for vehicle accident detection and notification in an Internet of Vehicles (IoV) environment, ensuring secure storage, transmission, and verification of accident-related data.
IEEE SENSORS JOURNAL
(2021)
Article
Automation & Control Systems
Huan Li, Yang Zhou, Hamid Gualous, Hicham Chaoui, Loic Boulon
Summary: The article introduces a cost minimization strategy for fuel cell hybrid electric vehicles, incorporating a decision-making framework and an online applicable approach. By combining driving pattern recognition, prognostics, and price prediction enabled decision making, the strategy aims to optimize overall costs and battery charge sustaining. The effects of driving cycles, degradation states, and pricing scenarios are also analyzed to improve cost efficiency.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Energy & Fuels
Jose Huertas, Oscar Serrano-Guevara, Jenny Diaz-Ramirez, Daniel Prato, Lina Tabares
Summary: Fleet managers find that fuel consumption constitutes a significant portion of operating costs for vehicle fleets, leading transport companies to employ telematics services to track units and monitor fuel usage. This information is utilized to identify events that contribute to excessive fuel consumption and inform managers of the need for maintenance. The research proposed the use of this data to determine fuel consumption on specific roads, considering factors such as altitude, road grade, and vehicle age. The study conducted in Colombia's main logistic corridor demonstrated a strong correlation between actual and estimated fuel consumption, highlighting the potential benefits of utilizing this information for cost estimation, emission control, and determining areas with high fuel consumption. Additionally, the analysis found that altitude has a negligible effect on fuel consumption.
Article
Computer Science, Information Systems
Shiyao Zhang, Xingzheng Zhu, Shuai Wang, James J. Q. Yu, Derrick Wing Kwan Ng
Summary: Autonomous vehicles are a crucial component of modern smart cities and can enhance the quality of public services through coordinated operations. This article develops an urban intelligent system that utilizes efficient incentive mechanisms to motivate autonomous vehicles to provide logistic and charging services in cities.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Hardware & Architecture
Debashis Das, Kousik Dasgupta, Utpal Biswas
Summary: The need for secure and reliable identity management and authentication scheme for vehicles is becoming increasingly prominent in smart cities. This paper proposes identity generation and management methods using Blockchain to address existing challenges in the Intelligent Transportation System (ITS) applications. The experiment results show that the proposed method ensures the correctness and validity of the Personal Identification Information (PII) and ensures the reliability and trustworthiness of such identity.
COMPUTERS & ELECTRICAL ENGINEERING
(2023)
Article
Engineering, Civil
Priyan Malarvizhi Kumar, Charalambos Konstantinou, Shakila Basheer, Gunasekaran Manogaran, Bharat S. Rawal, Gokulnath Chandra Babu
Summary: This article introduces an Agreement-induced Data Verification Model (ADVM) for securing vehicular communication against adversaries. The proposed model utilizes vector classification learning for non-replicated and recommendation-based verifications, enhancing credential validity and communication tolerance amid adversaries.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Computer Science, Information Systems
Yahya M. Tashtoush, Dirar A. Darweesh, Ghaith Husari, Omar A. Darwish, Yousef Darwish, Luai Bani Issa, Huthaifa Ashqar
Summary: The paper reviews the application of agile software development in the context of IoT and ITS, highlighting its importance for security and risk management. It also provides an outline for designing future security-enhanced agile software development solutions for these systems.
Article
Engineering, Civil
Xinyi Li, Yinlong Liu, Venkatnarayanan Lakshminarasimhan, Hu Cao, Feihu Zhang, Alois Knoll
Summary: In this paper, a targetless traffic radar calibration method based on GPS is proposed to overcome the inconvenience during ITS operation. A high-precision GPS device installed on the moving vehicle provides accurate positioning information of the detection target. A globally optimal registration method, called Gaussian Mixture Robust Branch and Bound (GMRBnB), is proposed for the optimization process of extrinsic calibration, which is robust to noise and outliers in radar measurements.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Management
Xiao Yu, Huimin Miao, Armagan Bayram, Meigui Yu, Xi Chen
Summary: Multimodal transportation systems combine various environmentally friendly transportation modes to meet customer needs, improve transportation efficiency, and save costs. By studying the combination of ride-sharing and public transportation services, it is found that multimodal transportation systems can significantly benefit travel distances and times.
INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH
(2021)
Article
Computer Science, Information Systems
Muhammad Bauer Mollah, Jun Zhao, Dusit Niyato, Yong Liang Guan, Chau Yuen, Sumei Sun, Kwok-Yan Lam, Leong Hai Koh
Summary: Internet of Vehicles (IoV) is an emerging concept that integrates vehicles with the Internet and other system components to create a better environment and enhance safety for road users. In recent years, blockchain has been explored as a supporting system platform for IoV information exchange, offering desirable properties such as decentralization and immutability.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Information Systems
Miguel R. Luaces, Jesus A. Fisteus, Luis Sanchez-Fernandez, Mario Munoz-Organero, Jesus Balado, Lucia Diaz-Vilarino, Henrique Lorenzo
Summary: This paper introduces an architecture of an information system that creates an accessibility data model for cities by ingesting data from different sources and provides an application for computing accessible routes for people with different abilities. The system collects and integrates various information sources, including data extracted from maps and mobile sensing, as well as information collected from citizens' mobile devices sensors, in order to detect accessibility problems in the city.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2021)
Article
Green & Sustainable Science & Technology
Sara Paiva, Xabiel Garcia Paneda, Victor Corcoba, Roberto Garcia, Prospero Moran, Laura Pozueco, Marina Valdes, Covadonga del Camino
Summary: The paper discusses the constantly changing transport network and mobility aspects, presenting analysis of survey data from drivers in Spain and Portugal. It highlights the importance of main functionalities and behaviors that an advanced driver assistance system must have for road safety. The study also includes the development and testing of a working prototype for an advanced driver assistance system.
Article
Green & Sustainable Science & Technology
Victor Corcoba Magana, Xabiel Garcia Paneda, Roberto Garcia, Sara Paiva, Laura Pozueco
Summary: This paper focuses on studying the relationship between driving behavior, driving stress, and influencing factors, with working hours being identified as the most critical factor affecting both.
Article
Computer Science, Software Engineering
Boni Garcia, Mario Munoz-Organero, Carlos Alario-Hoyos, Carlos Delgado Kloos
Summary: Selenium WebDriver is a framework for automated web browser control that supports multiple programming languages. This paper introduces WebDriverManager, a tool for automating the management of WebDriver drivers. Empirical validation of WebDriverManager showed high assessment among Java users, but low adoption for other languages.
EMPIRICAL SOFTWARE ENGINEERING
(2021)
Article
Computer Science, Information Systems
Andrea Aza, David Melendi, Roberto Garcia, Xabiel G. Paneda, Laura Pozueco, Victor Corcoba
Summary: The study examines the potential of Bluetooth 5 features in VANET applications, proposing a connectionless communication system. Field experiments evaluated Bluetooth 5's long range and speed features, and communication scenarios requirements.
Article
Computer Science, Information Systems
Sara Paiva, Victor Corcoba, Filipa Mourao, Xabiel G. Paneda, David Melendi, Roberto Garcia
Summary: COVID-19 has had a significant impact on mobility, with reduced use of public transport due to concerns of infection risk. However, the post-lockdown period has seen increased activity in parks, promoting healthier habits. The pandemic can be seen as an opportunity to foster more active mobility.
Article
Chemistry, Analytical
Mario Munoz-Organero, Paula Queipo-Alvarez
Summary: This paper proposes a new machine learning model that combines time pattern extraction and spatial analysis to optimize predictions of COVID-19 transmission. The model, which utilizes deep learning algorithms for data processing, achieves better results compared to previous models.
Article
Computer Science, Software Engineering
Boni Garcia, Carlos Delgado Kloos, Carlos Alario-Hoyos, Mario Munoz-Organero
Summary: Selenium-Jupiter is an open-source JUnit 5 extension for Selenium WebDriver that simplifies the development of tests by automating the driver management process and utilizing the Jupiter parameter resolution mechanism. It seamlessly integrates with Docker, allowing the use of different web browsers in Docker containers for cross-browser testing, load testing, and troubleshooting.
JOURNAL OF SYSTEMS AND SOFTWARE
(2022)
Article
Mathematical & Computational Biology
Mario Munoz-Organero
Summary: As the COVID-19 virus continues to spread globally, accurately predicting the spread of the disease is crucial for policymakers and healthcare professionals. This paper proposes a machine learning model that combines mobility and COVID-19 incidence data to forecast the virus' spread in a specific geographic area one week in advance. By extracting patterns from mobility-modulated COVID-19 incidence spatiotemporal data, the model optimizes its predictions for the future.
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE
(2022)
Article
Computer Science, Information Systems
Xabiel G. Paneda, Roberto Garcia, David Melendi, Dan Garcia, David Martinez, Victor Corcoba
Summary: Factories and industrial warehouses are environments where accidents are easily produced. To reduce accidents and their effects, there are strict regulations and training for workers. Advanced Driver Assistance Systems (ADAS) can improve safety in industrial environments, but their development is complex due to the heterogeneity of these environments. This paper presents a testbed that evaluates the design of ADAS for industrial vehicles.
IEEE LATIN AMERICA TRANSACTIONS
(2023)
Article
Engineering, Electrical & Electronic
Laura Pozueco, Nishu Gupta, Xabiel G. Paneda, Victor Corcoba, David Melendi, Roberto Garcia, Abel Rionda
Summary: This article provides an in-depth analysis of the driving performance of professional drivers during their working day, taking into account the influence of fleet management decisions. It reveals significant differences in efficient and safe driving among different fleets and offers valuable information for fleet managers to utilize.
IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE
(2023)
Article
Multidisciplinary Sciences
Mario Munoz-Organero, Patricia Callejo, Miguel Angel Hombrados-Herrera
Summary: This study proposes a new model that combines current and near-past incidence values and mobility data to predict upcoming COVID-19 infections. The model is applied to Madrid and uses weekly incidence data per district and mobility estimation based on bike-sharing data. The model employs LSTM RNN to detect temporal patterns and combines the output of LSTM layers to learn spatial patterns. The results show an 11.7% increase in accuracy compared to the baseline model that only considers confirmed cases without mobility data.
Article
Mathematics
Mario Munoz-Organero
Summary: This study proposes a model for short-term prediction of COVID-19 virus spread by extracting spatio-temporal patterns from COVID-19 incidence and traffic data. The results show that incorporating traffic data improves the accuracy of predicting new infection waves.
Article
Mathematics
Ivan Contreras, Mario Munoz-Organero, Aleix Beneyto, Josep Vehi
Summary: A methodology has been developed to identify different carbohydrate classes and determine mealtime, providing potentially valuable information and management tools for individuals with type 1 diabetes.
Proceedings Paper
Education, Scientific Disciplines
Carlos Delgado Kloos, Carlos Alario-Hoyos, Carmen Fenandez-Panadero, Pedro J. Munoz-Merino, Iria Estevez-Ayres, Mario Munoz-Organero, Maria Blanca Ibanez, Pedro Manuel Moreno-Marcos, Boni Garcia
Summary: The coronavirus pandemic has fast-tracked the digital transformation of society and university teaching, with UC3M adapting its teaching methods during the lockdown and limited campus reopening phases. Increased investment during these phases will continue to promote active learning at universities through digital cloud technologies.
PROCEEDINGS OF THE 2021 IEEE GLOBAL ENGINEERING EDUCATION CONFERENCE (EDUCON)
(2021)
