Intelligent Transportation Systems (ITS) leverage fog computing to process high-frequency vehicular data locally, but securing these continuous data streams against future quantum computers remains a critical challenge. A systematic review using the...
Pedestrian crossings are essential elements of sustainable road design because they mediate interactions among motorized traffic, active mobility, and users with diverse abilities. At night, poor pedestrian visibility, delayed yielding, excessive app...
Artificial intelligence is becoming an increasingly used component in municipal operations, with applications spanning administrative automation, decision support, citizen interfaces, and predictive analytics across domains such as mobility, health a...
The anomaly detection of urban rail vehicle door systems is crucial for the security and reliability of rail vehicles, and unsupervised methods have received particular attention in anomaly detection due to the scarcity of anomaly data. However, exis...
The management of urban heat in Saudi Arabia needs decision-support methods to separate persistent thermal patterns from city-specific climate and morphology effects. The study presents a reproducible open-data framework for Riyadh, Jeddah, and Damma...
This study presents a practical framework combining Simulation of Urban MObility (SUMO) with its Traffic Control Interface (TraCI) to evaluate how predefined longitudinal and lateral maneuvers imposed on a single vehicle affect target-vehicle perform...
Early-stage planning for metropolitan medical-drone networks can use demographic and healthcare-facility data to identify equitable and robust candidate nodes while operational evidence is developing. This study presents an equity- and robustness-awa...
Smart-city water management increasingly depends on converting routine sensing data into reliable, actionable models of network assets. Positional control valves are central to pressure regulation, flow allocation, and operational response, yet their...
Hybrid renewable energy systems require coordinated modelling of electricity, thermal energy, hydrogen, storage, and dispatchable generation to evaluate performance under changing supply, demand, and disturbance conditions. This paper presents the Re...
The operational reliability of electric buses depends heavily on the thermal stability and longevity of their battery packs. In urban public transit, highly dynamic driving cycles characterized by severe current surges during regenerative braking and...
When several people respond to an aging-in-place alert, they need a shared record of who has seen it, who has taken it on, and how far the response has progressed. In a holder-mediated design, the resident-side device serves every acknowledgment and...
Rapid urbanization and digital transformation are reshaping governance systems across Africa, increasing interest in smart city development to address complex urban challenges. In Tanzania, policies, acts, regulations, strategies, and frameworks have...
Improving energy efficiency and reducing environmental impact are among the most significant global challenges today. In particular, building energy systems (BESs) are the main consumers of urban energy. Reducing energy consumption and optimizing the...
A novel processing and classification framework for the automatic detection and classification of pedestrians, bicycles, and cars in urban environments is proposed and experimentally demonstrated. The proposed processing pipeline combines high-sensit...
Heating and cooling degree-days (HDDs and CDDs) link outdoor temperature to building heating and cooling demand and serve as inputs for building energy and emissions models. Existing data-driven forecasts cover a few stations or provinces within sing...
Sustainable municipal resource stewardship requires a harmonized artificial intelligence (AI) architecture that aligns technical performance with human-centered behavioral dynamics. Traditional smart city enforcement frameworks frequently trigger psy...
Urban transport is increasingly shifting from an efficiency-oriented approach toward accessibility-based and socio-spatial justice paradigms. This paper aims to synthesize current trends and emerging directions in transport and mobility, with a parti...
First/last-mile accessibility around metro stations in hot–arid cities depends not only on proximity and network connectivity but also on climatic exposure, physical movement friction, visual legibility, and route continuity. This study develop...
Smart-city platforms connect IoT devices across transport, energy, water, healthcare and e-government, so every gateway is an entry point. This paper evaluates a four-layer architecture—edge intrusion detection trained across districts by feder...
Rapid urbanization and persistent road-safety challenges have increased the demand for intelligent traffic management systems capable of supporting traffic monitoring, incident analysis, and short-term forecasting. Existing artificial intelligence so...
Vehicle-to-Everything (V2X) technologies have become a key enabling technology in modern Intelligent Transportation Systems (ITS), supporting cooperative awareness, real-time data exchange, and coordinated decision-making among vehicles, infrastructu...
Multi-objective urban development optimization predominantly relies on quantitative indicators, limiting the inclusion of weakly formalized urban qualities. This study aims to incorporate qualitative planning priorities directly into scenario generat...
Advances in sensing, the Internet of Things (IoT), and artificial intelligence (AI) are moving smart cities toward a Fully Sensed Society (FSS), in which human behavior and states can be continuously inferred. This paper presents the Fully Monitored...
Accurate estimation of air pollutants, particularly nitrogen dioxide (NO2), is essential for assessing air quality and supporting informed policy decisions. This study investigates the application of machine learning techniques to estimate ground-lev...
Non-revenue water from undetected leaks is a persistent inefficiency of urban infrastructure, yet public machine-learning (ML) leak-detection benchmarks are reused without scrutiny of their labels. This study audited a widely circulated smart-water b...
Social media platforms generate large volumes of unsolicited textual content that reflect users’ perceptions of urban transportation. This study proposes a fine-grained annotation framework that classifies social media text into three construct...
Reliable positioning underpins connected and autonomous vehicles, delivery robots, public-transport monitoring and infrastructure inspection in smart cities. In urban canyons, covered roads and tunnels, satellite navigation can degrade, making camera...
Grounding systems are essential components of electrical infrastructures, ensuring personnel safety, equipment protection, and operational reliability. In the context of smart cities, these systems have evolved from passive safety elements to critica...
AI is being deployed in smart-grid and smart-city energy infrastructure faster than governance frameworks can validate it. Existing instruments—NERC CIP, NIST AI RMF 1.0, and ISA/IEC 62443—address cybersecurity compliance and AI trustwort...
Urban road user detection supports safety-critical applications in Intelligent Transportation Systems, but architecture assessment requires balancing predictive performance with computational efficiency under controlled and leakage-aware evaluation c...
GeoAI has advanced the analysis and prediction of urban systems by integrating GIS with artificial intelligence, yet its contribution to urban planning and governance remains limited. Many applications function as black-box predictive tools, making r...
Advanced Metering Infrastructure (AMI) underpins bidirectional communication in smart grids, a foundational layer of smart city energy systems, facilitating the flow of data, real-time monitoring, and demand-responsive control. But its connectivity e...
Modern data centers underpin smart-city services, yet their control loops must reconcile noisy, missing, or deliberately deceptive telemetry before acting autonomously. We present a two-path agentic architecture in which a deterministic fast path fus...
Connected autonomous vehicles (CAVs) will be gradually introduced into road networks, creating mixed-traffic environments where CAVs and human-driven vehicles (HDVs) operate together. Understanding how increasing CAV penetration influences traffic pe...
The energy conservation, emission reduction, and electricity peak-load regulation requirements of smart cities have driven the establishment of virtual power plants (VPPs). Peer-to-peer (P2P) trading is applicable to distributed clean energy resource...
City-level indicators are difficult to ground across heterogeneous statistical systems in the Global South, where large language model (LLM) agents accelerate multilingual source discovery but risk unsupported values and fabricated execution reports....
Context-aware building massing is an important early-stage design task: given a site for buildings, a generated massing should not only fit the target parcel, but also relate to the scale, density, and morphology of its surrounding urban fabric. This...
Although smart city investments have surged in fields such as healthcare, infrastructure and waste management, very little is known about the quality of evidence or its association with urban economic development. This systematic review, based on PRI...
As power systems become increasingly user-centric and participatory, fairness is emerging as an important consideration in operational decision-making. However, justice-related aspects are often assessed only after system operation, limiting their ro...
Urban anomalies such as rare facilities, unusual spatial configurations, and atypical functional patterns can provide valuable insights into urban dynamics and planning processes. However, graph-based anomaly discovery methods often suffer from insta...
Forecasting power consumption is essential for intelligent power management in IoT-enabled smart environments, where heterogeneous behaviors appear from diverse building usages. University campuses are considered environments that share similarities...
Smart-city energy platforms—peer-to-peer markets and tokenized renewable energy certificates—settle against metered generation, yet never check the physical plausibility of those claims. For wind, attainable energy is not measured but der...
Short-term multimodal travel demand forecasting must reconcile shared mobility patterns with mode-specific dynamics and uneven spatial coverage. This paper proposes Multimodal Disentangled Dynamic Fusion (MDDF), which combines three mechanisms: dual-...
Surface macrotexture is of major interest for barrier-free routing, particularly for wheelchair travellers, because it relates to the functional properties of pavements, such as loss of energy through tyre-rolling resistance or vibrational discomfort...
Smart city mobility systems face a persistent gap between digital innovation and large-scale deployment. While Mobility-as-a-Service platforms and Mobility Living Labs have generated promising local solutions, transferring these solutions across citi...
Smart cities and smart real estate are increasingly used to enhance urban efficiency, sustainability, and quality of life. Nevertheless, their implementation is hindered by interconnected challenges across concepts, technology, governance, economics,...
Urban planners are increasingly using Large Language Models (LLMs) to draft project appraisals, raising the question of whether such systems can act as independent evaluators. Here we test this question on two contested urban regeneration projects in...
Reliable traffic-flow models are important for traffic analysis, simulation and intelligent transport management, yet fundamental traffic-flow relationships are frequently transferred between countries despite differences in road design, traffic comp...
Intelligent Transportation Systems (ITS) increasingly combine sensing, communication, computation, data platforms, and mobility services. This article presents a structured, literature-based mapping review of ITS applications from a standards-oriente...
Traffic signal noncompliance at urban intersections remains a road-safety and traffic-management challenge, particularly where local monitoring and empirical evidence are limited. This study characterized yellow- and red-phase stop-line crossing even...
