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Algorithms
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Algorithms for Smart Cities (2nd Edition)
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Algorithms for Smart Cities (2nd Edition)

A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Algorithms for Multidisciplinary Applications".

Deadline for manuscript submissions: 30 November 2024 | Viewed by 2979

Special Issue Editors

Dr. Gloria Cerasela Crişan

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Guest Editor
Department of Mathematics and Informatics, Faculty of Sciences, Vasile Alecsandri University of Bacău, 600115 Bacău, Romania
Interests: artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Elena Nechita

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Guest Editor
Department of Mathematics and Informatics, Faculty of Sciences, Vasile Alecsandri University of Bacău, 600115 Bacău, Romania
Interests: artificial intelligence; probability theory; education
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Vasile-Daniel Pavaloaia

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Guest Editor
Department of Accounting, Business Information Systems and Statistics, Alexandru Ioan Cuza University of Iasi, 700506 Iași, Romania
Interests: neural networks; machine learning; deep learning; sentiment analysis; IoT systems; information systems for management; enterprise resource planning
Special Issues, Collections and Topics in MDPI journals
Dr. Yajie Zou

E-Mail Website
Guest Editor
Department of Transportation Engineering, Tongji University, Shanghai 200070, China
Interests: traffic safety; intelligent transportation systems; transportation data mining; risk analysis; applications of statistical analysis in transportation

Special Issue Information

Dear Colleagues,

ICT supports our society in responding to increased human pressure on Earth. Sustainable development challenges urban areas to consume resources more efficiently, to optimize operations, to boost people’s involvement in governance, and to raise the quality of life and environment. Late technological, environmental, and social changes determine the need for articulated strategies that address these challenges, comprehensive models of real problems, and effective ICT solutions.

Further, algorithms have the potential to revolutionize urban planning, infrastructure management, and resource allocation. They can help optimize energy consumption, reduce waste generation, and improve transportation systems. Moreover, algorithms can be used to analyze data from various sources, including sensors, social media, and citizen feedback, and to provide insights into urban challenges and opportunities.

The aim of this Special Issue is to address the broad range of societal issues raised by modern urban communities as well as to explore the power of algorithms’ application within the sustainable development of smart cities. The efficient use of physical infrastructure, enhancement of public health and public education, lower environmental impact, and better resilience of the inhabitants as well as of the city structures are the expected topics of interest. Researchers and practitioners working in artificial intelligence, city logistics, internet of things, data analytics, etc., are invited to submit their original and unpublished works to this Special Issue. Of particular interest are papers describing integrated approaches, for example, those including computer vision, optimization methods, GIS, etc.

Dr. Gloria Cerasela Crisan
Prof. Dr. Elena Nechita
Prof. Dr. Vasile-Daniel Pavaloaia
Dr. Yajie Zou
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Algorithms is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • artificial intelligence
  • city logistics
  • data analytics
  • e-governance
  • e-health
  • image recognition
  • internet of things
  • optimization methods
  • recommender systems
  • artificial neural networks algorithms
  • machine learning algorithms for intelligent software development
  • remote sensing
  • transportation networks
  • smart government
  • smart education
  • smart electronics
  • smart offices

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Related Special Issue

Published Papers (3 papers)

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Research

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26 pages, 1185 KiB  
Article
Energy Consumption Outlier Detection with AI Models in Modern Cities: A Case Study from North-Eastern Mexico
by José-Alberto Solís-Villarreal, Valeria Soto-Mendoza, Jesús Alejandro Navarro-Acosta and Efraín Ruiz-y-Ruiz
Algorithms 2024, 17(8), 322; https://doi.org/10.3390/a17080322 - 24 Jul 2024
Cited by 1 | Viewed by 1226
Abstract
The development of smart cities will require the construction of smart buildings. Smart buildings will demand the incorporation of elements for efficient monitoring and control of electrical consumption. The development of efficient AI algorithms is needed to generate more accurate electricity consumption predictions; [...] Read more.
The development of smart cities will require the construction of smart buildings. Smart buildings will demand the incorporation of elements for efficient monitoring and control of electrical consumption. The development of efficient AI algorithms is needed to generate more accurate electricity consumption predictions; therefore; anomaly detection in electricity consumption predictions has become an important research topic. This work focuses on the study of the detection of anomalies in domestic electrical consumption in Mexico. A predictive machine learning model of future electricity consumption was generated to evaluate various anomaly-detection techniques. Their effectiveness in identifying outliers was determined, and their performance was documented. A 30-day forecast of electrical consumption and an anomaly-detection model have been developed using isolation forest. Isolation forest successfully captured up to 75% of the anomalies. Finally, the Shapley values have been used to generate an explanation of the results of a model capable of detecting anomalous data for the Mexican context. Full article
(This article belongs to the Special Issue Algorithms for Smart Cities (2nd Edition))
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Review

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22 pages, 2446 KiB  
Review
A Comprehensive Review of Autonomous Driving Algorithms: Tackling Adverse Weather Conditions, Unpredictable Traffic Violations, Blind Spot Monitoring, and Emergency Maneuvers
by Cong Xu and Ravi Sankar
Algorithms 2024, 17(11), 526; https://doi.org/10.3390/a17110526 - 15 Nov 2024
Viewed by 389
Abstract
With the rapid development of autonomous driving technology, ensuring the safety and reliability of vehicles under various complex and adverse conditions has become increasingly important. Although autonomous driving algorithms perform well in regular driving scenarios, they still face significant challenges when dealing with [...] Read more.
With the rapid development of autonomous driving technology, ensuring the safety and reliability of vehicles under various complex and adverse conditions has become increasingly important. Although autonomous driving algorithms perform well in regular driving scenarios, they still face significant challenges when dealing with adverse weather conditions, unpredictable traffic rule violations (such as jaywalking and aggressive lane changes), inadequate blind spot monitoring, and emergency handling. This review aims to comprehensively analyze these critical issues, systematically review current research progress and solutions, and propose further optimization suggestions. By deeply analyzing the logic of autonomous driving algorithms in these complex situations, we hope to provide strong support for enhancing the safety and reliability of autonomous driving technology. Additionally, we will comprehensively analyze the limitations of existing driving technologies and compare Advanced Driver Assistance Systems (ADASs) with Full Self-Driving (FSD) to gain a thorough understanding of the current state and future development directions of autonomous driving technology. Full article
(This article belongs to the Special Issue Algorithms for Smart Cities (2nd Edition))
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11 pages, 205 KiB  
Review
The Current State and Future of the Urban Cold Chain: A Review of Algorithms for Environmental Optimization
by Isla Usvakangas, Ronja Tuovinen and Pekka Neittaanmäki
Algorithms 2024, 17(10), 465; https://doi.org/10.3390/a17100465 - 18 Oct 2024
Viewed by 862
Abstract
Cold chains are essential in providing people with food and medicine across the globe. As the global environmental crisis poses an existential threat to humanity and societies strive for more sustainable ways of life, these critically important systems need to adapt to the [...] Read more.
Cold chains are essential in providing people with food and medicine across the globe. As the global environmental crisis poses an existential threat to humanity and societies strive for more sustainable ways of life, these critically important systems need to adapt to the needs of a new era. As it is, the transportation sector as a whole accounts for a fifth of global emissions, with the cold chain being embedded in this old fossil-fuel-dependent infrastructure. With the EU is passing regulations and legislation to cut down on emissions and phase out polluting technologies like combustion engine vehicles, the next couple of decades in Europe will be defined by rapid infrastructural change. For logistics and cold transportation, this shift presents many opportunities but also highlights the need for innovation and new research. In this literature review, we identify pressing issues with the current urban cold chain, review the recent research around environmental optimization in urban logistics, and give a cross-section of the field: what the trending research topics in urban logistics optimization across the globe are, and what kind of blind spots are identifiable in the body of research, as well as changes arising with future green logistics infrastructure. We approach the issues discussed specifically from the point of view of refrigerated urban transportation, though many issues extend beyond it to transportation infrastructure at large. Full article
(This article belongs to the Special Issue Algorithms for Smart Cities (2nd Edition))
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