Skip to Content

Most Recent

  • Article
  • Open Access
172 Views
23 Pages

Mapping Urban Digital Twins Across Regions: An Exploratory Study of Maturity, Implementation Status, and Authority

  • Jasmin Hiller,
  • Mohamed Mansour,
  • Noemi Kremer,
  • David Crampen and
  • Sascha von Behren

An increasing number of municipalities are adopting urban digital twins (UDTs) to improve urban management. Although the models differ widely, municipalities face similar challenges in their implementation. Therefore, sharing insights on UDTs provide...

  • Article
  • Open Access
185 Views
27 Pages

Urban business-to-business distribution in Casablanca relies heavily on light commercial vehicles (LCVs) operating in a constrained street environment where loading/unloading access, intersection capacity, and recurring bottlenecks jointly shape perf...

  • Article
  • Open Access
189 Views
19 Pages

This study introduces a new method for predicting carbon emissions from campus buildings, which is crucial to achieving low-carbon campuses in higher education and meeting “Carbon Peaking and Carbon Neutrality Goals”. The method begins wi...

  • Article
  • Open Access
290 Views
16 Pages

Irregular and non-cyclical railway level-crossing closures generate traffic disruptions that cannot be directly assessed using standard intersection analysis methods. Railway level crossings interrupt road traffic in irregular, non-cyclical intervals...

  • Systematic Review
  • Open Access
386 Views
29 Pages

Artificial Intelligence in Water Distribution Networks: A Systematic Review of Models, Input Variables, Databases, and Output Strategies for Leak Detection

  • Mariana Zuñiga-Uribe,
  • Rafael Rojas-Galván,
  • José M. Álvarez-Alvarado,
  • Marcos Aviles,
  • Gerardo I. Pérez-Soto and
  • Victor Pérez-Moreno

Early leak detection in water distribution networks is essential to minimize losses and improve operational efficiency. This systematic review analyzes 53 studies published between 2018 and 2025 that employed machine learning, deep learning, and hybr...

  • Article
  • Open Access
240 Views
24 Pages

Privacy-Preserving, Non-Iterative Coordinated Day-Ahead Scheduling of Multi-Area Active Distribution Networks via Equivalent Projection

  • Ling Luo,
  • Tiantian Chen,
  • Chenhong Huang,
  • Na Wang,
  • Zhen Zheng,
  • Jiangke Yang,
  • Jian Ping and
  • Zheng Yan

A distribution network is transforming into multi-area distribution networks. Traditional iterative multi-area coordination methods protect the privacy of each area but face a high communication burden and convergence issues. To address these challen...

  • Article
  • Open Access
308 Views
26 Pages

Dynamic Wireless Power Transfer (DWPT) is emerging as critical smart city infrastructure for sustainable urban mobility, enabling electric vehicle charging while driving. However, DWPT introduces complex fault scenarios requiring intelligent monitori...

  • Article
  • Open Access
181 Views
31 Pages

As ridesharing is one of the emerging sustainable transport modes that has been widely adopted by commuters and travelers in cities, it has been extensively studied for over a decade. Although many research issues related to ridesharing have been stu...

  • Review
  • Open Access
459 Views
53 Pages

A Comprehensive Analysis of Incident and Object Detection in Traffic Environments

  • Patrik Kovačovič,
  • Rastislav Pirník,
  • Tomáš Tichý,
  • Júlia Kafková,
  • Gabriel Gašpar and
  • Pavol Kuchár

Traffic accident detection and object detection have become key areas of research due to their direct impact on safety, traffic congestion mitigation, and intelligent traffic planning. This study presents a structured analysis of classical detection...

  • Review
  • Open Access
689 Views
44 Pages

The Convergence of Artificial Intelligence and Public Policy in Shaping the Future of Ride-Hailing: A Review

  • Cătălin Beguni,
  • Alin-Mihai Căilean,
  • Eduard Zadobrischi,
  • Sebastian-Andrei Avătămăniței,
  • Alexandru Lavric and
  • Florinel-Mădălin Stoian

In the context in which on-demand mobility services are rapidly gaining popularity in the transportation sector, this article provides a literature review focusing on the emerging research topics related to ride-hailing. Based on a comprehensive revi...

  • Article
  • Open Access
479 Views
16 Pages

Co-Creating Climate-Resilient Streets: Digital Twin-Based Simulations for Outdoor Thermal Comfort

  • Koldo Urrutia-Azcona,
  • Valentina Bonetti,
  • Mohammad Mizanur,
  • Nele Janssen,
  • Niall Buckley,
  • Mark De Wit,
  • Kieran Murray and
  • Niall Byrne

Rapid urbanization and climate change are intensifying heat exposure in cities, making effective adaptation strategies essential. This study presents a streamlined digital twin modeling framework for simulating the impact of nature-based solutions (N...

  • Systematic Review
  • Open Access
669 Views
29 Pages

Advancing Smart Cities in Africa: Barriers, Potentials, and Strategic Pathways for Sustainable Urban Transformation

  • Dillip Kumar Das,
  • Ayodeji Olatunji Aiyetan and
  • Mohamed Mostafa Hassan Mostafa

Smart cities utilise advanced technology to enhance the quality of life, economic efficiency, and environmental sustainability of citizens. This transformation is both vital and complex in Africa due to rapid urbanisation and socio-economic challenge...

  • Article
  • Open Access
367 Views
19 Pages

Estimating Building Air Change Rates with Multizone Models at Urban Scale: Comparative Case Studies

  • Yasemin Usta,
  • William Stuart Dols,
  • Cristina Bertani and
  • Guglielmina Mutani

Accurate estimation of building-specific air change rates is important for reliable urban-scale energy modeling, particularly in densely populated regions where airflow calculations must account for complex boundary conditions associated with urban g...

  • Article
  • Open Access
296 Views
21 Pages

Providing medical and technical assistance to people in life-threatening situations requires the coordinated cooperation of numerous actors within the emergency response system. The efficiency of the emergency response system is thereby influenced by...

  • Article
  • Open Access
469 Views
23 Pages

The electrification of long-haul freight transport introduces significant challenges in fleet planning, charging decisions, and reliability management under uncertainty. This study proposed a Stochastic Electric Freight Operations Planning Problem on...

  • Article
  • Open Access
406 Views
46 Pages

Time-Dependent Green Location-Routing Problem with the Consideration of Spatio-Temporal Variations

  • Junxi Chen,
  • Zhenlin Wei,
  • Bin Han,
  • Xiao Tang,
  • Zhihuan Jiang and
  • Tianding Wang

Urban logistics systems are under mounting pressure to decarbonize while meeting growing freight demand. This study addresses this dual challenge by formulating a novel Time-Dependent Green Location-Routing Problem with Spatio-Temporal Variations (TD...

  • Article
  • Open Access
1 Citations
458 Views
40 Pages

BDNet: A Lightweight YOLOv12-Based Vehicle Detection Framework for Smart Urban Traffic Monitoring

  • Md Mahibul Hasan,
  • Zhijie Wang,
  • Hong Fan,
  • Kaniz Fatima,
  • Muhammad Ather Iqbal Hussain,
  • Rony Shaha and
  • Tushar MD Ahasan Habib

Accurate and real-time vehicle detection is a fundamental requirement for smart urban traffic monitoring, particularly in densely populated cities where heterogeneous traffic, frequent occlusion, and severe scale variation challenge lightweight visio...

  • Article
  • Open Access
385 Views
26 Pages

Urban street trees provide essential environmental and social benefits, yet their vitality is often challenged by adverse urban conditions such as traffic emissions, impervious surfaces, and limited soil moisture. Conventional street tree management...

  • Article
  • Open Access
363 Views
22 Pages

Greedy-VoI Time-Mesh Design for Rolling-Horizon EMS: Optimizing Block-Variable Granularity and Horizon Under Compute Budgets

  • Gregorio Fernández,
  • J. F. Sanz Osorio,
  • Adrián Alarcón,
  • Miguel Torres and
  • Alfonso Calavia

Rolling-horizon energy management systems (EMSs) and model predictive control (MPC) for microgrids in smart cities face a fundamental trade-off: finer temporal discretization improves operational performance but rapidly increases the size of the opti...

  • Article
  • Open Access
384 Views
17 Pages

Autonomous shuttle services are currently introduced in different urban conditions throughout the world. As a result, studies are needed to assess the safety and mobility performance of such autonomous shuttle services. However, calibrating the movem...

  • Review
  • Open Access
575 Views
30 Pages

Implementation Maturity Levels of Digital Twin Technology and Data Content Design for Flood Digital Twin

  • Jozef Ristvej,
  • Bronislava Halúsková,
  • Karin Nováková and
  • Daniel Chovanec

This study examines the potential of digital twin (DT) technology to strengthen urban security, with a specific focus on flood risk management in smart cities. A DT is understood as a virtual representation of real-world assets and processes, continu...

  • Article
  • Open Access
448 Views
34 Pages

Federated learning (FL) has emerged as a promising paradigm for privacy-preserving distributed intelligence in modern urban transportation systems, where vehicles collaboratively train global models without sharing raw data. However, the dynamic natu...

  • Article
  • Open Access
397 Views
22 Pages

Towards the Decarbonization of Urban Communities: Evaluation of Smart and Green Strategies to Reduce Gas Carbon Emissions

  • Fabio Bisegna,
  • Flavia Vespasiano,
  • Laura Pompei,
  • Chiara Burattini,
  • Emiliano Belli,
  • Alessandro Maria Bellucci,
  • Francesco Di Vittorio and
  • Laura Blaso

One of the key aspects of a smart city is to reduce CO2 emissions by adopting different strategies that can also improve the quality of life of citizens. Current metropolises present additional issues compared to traditional cities, such as extremely...

  • Article
  • Open Access
468 Views
24 Pages

This article examines differences between conventional manual measurements of tram operations and data extracted automatically using the REWIZOR program, based on the Yolo10s algorithm. The study addresses the broader question of how artificial intel...

  • Article
  • Open Access
554 Views
23 Pages

Pollution-Aware Pedestrian Routing in Thessaloniki, Greece: A Data-Driven Approach to Sustainable Urban Mobility

  • Josep Maria Salanova Grau,
  • Thomas Dimos,
  • Eleftherios Pavlou,
  • Georgia Ayfantopoulou,
  • Dimitrios Margaritis,
  • Theodosios Kassandros,
  • Serafim Kontos and
  • Natalia Liora

Urban air pollution remains a critical public health issue, especially in densely populated cities where pedestrians experience direct exposure to traffic-related and environmental emissions. This study develops and tests a pollution-aware pedestrian...

  • Article
  • Open Access
1,331 Views
29 Pages

Urban Digital Twins (UDTs) are emerging as a new paradigm in smart city strategies, enabling real-time interaction with urban environments and supporting data-driven decision-making. By expanding beyond traditional smart functions, UDTs facilitate th...

  • Article
  • Open Access
1 Citations
410 Views
19 Pages

This study addresses the challenge of identifying heavy Building Information Modeling (BIM) library components that disproportionately degrade model performance. While BIM has become standard in the construction industry, heavy components characteriz...

  • Article
  • Open Access
425 Views
16 Pages

Deep reinforcement learning (DRL) with self-play has emerged as a promising paradigm for solving combinatorial optimization (CO) problems. The recently proposed Gumbel AlphaZero Plan-to-Play (GAZ PTP) framework adopts a competitive training setup bet...

  • Article
  • Open Access
481 Views
23 Pages

Mapping Service Accessibility Through Urban Analytics: A Linked Open Data Approach in the Lazio Region (Italy)

  • Kevin Gumina,
  • Javier García Guzmán,
  • Eva Barrio Reyes and
  • Ana Chacón Tanarro

This article presents a modular and replicable framework to assess spatial accessibility to essential public services in the Lazio Region (Italy). Current policies, framed within the EU Urban Agenda and the UN Sustainable Development Goals, emphasize...

  • Article
  • Open Access
448 Views
42 Pages

Visual Context and Behavioral Priming in Pedestrian Crossing Decisions: Evidence from a Stated Preference Experiment in Ecuadorian Urban Areas

  • Yasmany García-Ramírez,
  • Fernando Arrobo-Herrera,
  • Alejandra Cruz-Cortez,
  • Luis Fernández-Garrido,
  • Joshua Flores,
  • Wilson Lara-Bayas,
  • Carlos Lema-Nacipucha,
  • Diego Mejía-Caldas,
  • Richard Navas-Coque and
  • Kevin Zambrano-Delgado
  • + 1 author

Pedestrian safety in developing countries faces critical challenges from rapid urbanization and infrastructure deficiencies. This study investigates how visual context influences pedestrian crossing preferences through a controlled stated preference...

  • Article
  • Open Access
558 Views
26 Pages

Intelligent Control Framework for Optimal Energy Management of University Campus Microgrid

  • Galia Marinova,
  • Edmond Hajrizi,
  • Besnik Qehaja and
  • Vassil Guliashki

This study proposes a smart energy management framework for a university campus microgrid aimed at reducing dependence on the main power grid and increasing the utilization of photovoltaic (PV) generation under dynamic load and environmental conditio...

  • Article
  • Open Access
349 Views
19 Pages

Development and Field Testing of an Acoustic Sensor Unit for Smart Crossroads as Part of V2X Infrastructure

  • Yury Furletov,
  • Dinara Aptinova,
  • Mekan Mededov,
  • Andrey Keller,
  • Sergey S. Shadrin and
  • Daria A. Makarova

Improving city crossroads safety is a critical problem for modern smart transportation systems (STS). This article presents the results of developing, upgrading, and comprehensively experimentally testing an acoustic monitoring system prototype desig...

  • Article
  • Open Access
1,583 Views
25 Pages

As a high-fidelity digital mapping of the physical built environment, the Building Digital Twin (BDT) relies on physical–virtual interaction as a core enabler for lifecycle management. However, existing BDT conceptual models predominantly focus...

  • Article
  • Open Access
493 Views
18 Pages

Smart city initiatives increasingly rely on interoperable and high-quality urban data, yet many cities lack systematic methods for prioritizing which datasets should be developed first. This study proposes an evidence-based framework for smart city d...

  • Article
  • Open Access
403 Views
22 Pages

Smart Sensing in Italian Historic City Centers: The Liminal Environmental Monitoring System (LEMS)

  • Valentina Diolaiti,
  • Leonardo Sollazzo,
  • Giulio Mangherini,
  • Nazim Aslam,
  • Diego Bernardoni,
  • Marta Calzolari,
  • Pietromaria Davoli,
  • Valentina Modugno and
  • Donato Vincenzi

Historic city centers host dense ensembles of heritage buildings where conservation goals must coexist with sustainable and smart urban development, yet the semi-outdoor “liminal” spaces of these complexes, such as cloisters, loggias and...

  • Article
  • Open Access
1,280 Views
28 Pages

Unstructured POI name texts are widely used in fine-grained urban analysis, yet missing labels and semantic ambiguity often limit their value for spatial inference. This study proposes a large language model-based semantic–spatial inference fra...

  • Article
  • Open Access
624 Views
31 Pages

Federated Learning Frameworks for Intelligent Transportation Systems: A Comparative Adaptation Analysis

  • Mario Steven Vela Romo,
  • Carolina Tripp-Barba,
  • Nathaly Orozco Garzón,
  • Pablo Barbecho,
  • Xavier Calderón Hinojosa and
  • Luis Urquiza-Aguiar

Intelligent Transportation Systems (ITS) have progressively incorporated machine learning to optimize traffic efficiency, enhance safety, and improve real-time decision-making. However, the traditional centralized machine learning (ML) paradigm faces...

  • Article
  • Open Access
566 Views
32 Pages

Comparative Experimental Performance of an Ayanz Screw-Blade Wind Turbine and a Conventional Three-Blade Turbine Under Urban Gusty Wind Conditions

  • Ainara Angulo,
  • Unai Nazabal,
  • Fabian Rodríguez,
  • Izaskun Rojo,
  • Ander Zarketa,
  • David Cabezuelo and
  • Gonzalo Abad

To address the scientific gap concerning optimal urban wind turbine morphology, this work presents an experimental performance comparison between two small-scale wind turbine designs: a conventional three-blade horizontal-axis wind turbine (HAWT) and...

  • Article
  • Open Access
564 Views
16 Pages

Accurate detection and localization of traffic objects are essential for autonomous driving tasks such as path planning. While semantic segmentation is able to provide pixel-level classification, existing networks often fail under challenging conditi...

  • Article
  • Open Access
1,175 Views
27 Pages

Autonomous lane-changing is one of the most critical and complex tasks in automated driving. Recent progress in reinforcement learning (RL) has shown strong potential to help autonomous vehicles (AVs) make safe and flexible lane-change decisions in r...

  • Article
  • Open Access
774 Views
21 Pages

Floods are among the most destructive natural disasters, posing major challenges to human safety, property, and urban resilience. Effective communication of flood risk is therefore crucial for disaster preparedness and the sustainable management of s...

  • Article
  • Open Access
619 Views
18 Pages

Air pollution is a growing environmental issue in densely populated urban areas worldwide. Rapid population growth and the consequent increase in energy demand, emissions from industrial activities and vehicular traffic, and the reduction in vegetati...

  • Article
  • Open Access
660 Views
33 Pages

Constrained Metropolitan Service Placement: Integrating Bayesian Optimization with Spatial Heuristics

  • Tatiana Churiakova,
  • Ivan Platonov,
  • Mark Bezmaslov,
  • Vadim Bikbulatov,
  • Ovanes Petrosian,
  • Vasilii Starikov and
  • Sergey A. Mityagin

Metropolitan service-placement optimization is computationally challenging under strict evaluation budgets and regulatory constraints. Existing approaches either neglect capacity constraints, producing infeasible solutions, or employ population-based...

  • Article
  • Open Access
1 Citations
669 Views
21 Pages

Cloud-based platforms form the backbone of smart city ecosystems, powering essential services such as transportation, energy management, and public safety. However, their operational complexity generates vast volumes of system logs, making manual ano...

  • Article
  • Open Access
912 Views
32 Pages

On-demand public transport systems are increasingly adopted to improve service flexibility, reduce operating costs, and meet emerging mobility needs. Evaluating their performance under realistic demand and operational conditions, however, remains a c...

  • Review
  • Open Access
1 Citations
1,671 Views
45 Pages

Smart cities generate vast multimodal data from IoT devices, surveillance systems, health monitors, and environmental monitoring infrastructure. The seamless integration and interpretation of such multimodal data is essential for intelligent decision...

  • Systematic Review
  • Open Access
1,790 Views
26 Pages

Cities increasingly utilise digital technologies to tackle climate risks and urban shocks, yet their real impact on resilience remains uncertain. This paper systematically reviews 115 peer-reviewed studies (2012–2024) to explore how smart city...

  • Article
  • Open Access
412 Views
23 Pages

A sustainable city requires a sustainable means of transportation. This ambition is leading towards higher penetration of electric vehicles (EVs) in our cities, in both the private and commercial sectors, putting an ever greater burden on the existin...

  • Article
  • Open Access
882 Views
24 Pages

Bridging the Information Gap in Smart Construction: An LLM-Based Assistant for Autonomous TBM Tunneling

  • Min Hu,
  • Hongzheng Gao,
  • Qing Mi,
  • Bingjian Wu,
  • Jing Lu and
  • Yongchang Liu

The development of autonomous tunneling is crucial for building the intelligent underground infrastructure that smart cities require. However, in complex urban environments, the need for frequent manual intervention during Tunnel Boring Machine (TBM)...

XFacebookLinkedIn
Smart Cities - ISSN 2624-6511