Challenges and Solution Proposals of 2025

Warsaw is tackling the growing challenge of the urban heat island effect, intensified by dense development and limited green infrastructure. This issue falls within the scope of building a climate resilient city. To respond, we are implementing “The New Centre of Warsaw”, a major revitalization project transforming a fragmented central area into a greener, more inclusive, and adaptive public space. Beyond physical transformation, we recognize that climate resilience requires collaboration across sectors. We’re developing models to engage both public and private stakeholders in co-creating and financing nature-based solutions and other adaptive measures. This approach aims not only to reduce climate…

Tartu faces the challenge of reducing its dependency on private cars, which contribute over 10% of the city’s total CO₂ emissions and continue to grow. Current infrastructure does not sufficiently support sustainable mobility solutions such as autonomous public transport. Without modernization, the city cannot test or scale new modes of mobility that are critical for meeting climate goals and improving quality of life. The existing traffic infrastructure is outdated and does not support key protocols (DSRC, C-V2X) needed for safe autonomous vehicle deployment. Data about mobility patterns is fragmented, often unreliable, and lacks the resolution to support advanced planning or…

In Harku municipality, as in many others, waste separation remains a significant challenge. Residents are not always aware which item goes into which container, and incorrect sorting generates additional costs while reducing recycling efficiency. The problem is aggravated by population growth in settlements near Tallinn. Since 2024, separate collection of bio-waste has become mandatory, and due to the national waste reform, recycling targets have become much stricter. This means the municipality needs solutions that help residents sort waste conveniently and correctly, raise awareness, and enable compliance with legally binding targets.

Rotterdam and its neighboring municipalities face a major challenge in transitioning toward circular construction and energy-efficient buildings. A key barrier is the lack of insight into existing building materials — especially when planning renovations or insulation upgrades. Without accurate data on material types, quantities, and conditions, it’s difficult to assess reuse potential, plan sustainable retrofits, comply with circular economy and energy regulations. This challenge is amplified in older urban areas where documentation is incomplete or outdated.

In recent years, climate change has significantly increased the frequency of extreme rainfall, where precipitation rates exceed both the average daily rate and the sewerage system’s capacity. Jelgava is particularly vulnerable: it is a flat city situated between two rivers (6032 hectares in total, of which 293 hectares are open water). As the lowest-lying populated area in Latvia (2.0–4.5 m above sea level), Jelgava faces high groundwater levels, which put additional pressure on its drainage and stormwater systems, especially during spring floods. All this significantly complicates the removal of rainwater, because the relief does not allow water to naturally leave…

Well-functioning sewers are critical to public health, clean water and urban safety — yet they tend to go unnoticed when they work reliably and attract attention only when problems surface. The challenge is to keep these hidden systems running under mounting pressure: ageing pipes, heavier storms and stricter pollution. Sewage overflows and spills are a problem in every city and county. They are causing environmental pollution when sewage overflows reach rivers, lakes and seas. When sewer ruptures are occurring, they cause damage of property, traffic disturbances and are expensive to repair. Better sewer maintenance would make sewer management less costly,…

As cities face increasing climate pressures—from prolonged droughts to sudden flash floods—urban trees have become essential assets in creating resilient, liveable environments. Yet, existing tree pit designs often fall short of supporting long-term tree health, fail to manage stormwater effectively, and can contribute to costly damage to pavements and infrastructure due to uncontrolled root growth. We seeking innovative design solutions from the industry for a new generation of urban tree pits that can support healthy tree development in increasingly challenging urban conditions. These systems should be capable of accommodating natural root expansion without damaging surrounding infrastructure, while ensuring access to…

Liepāja, as a coastal tourism destination, faces growing visitor numbers with highly seasonal and uneven flows. We lack real-time data about where and when tourists move around the city. This limits our ability to manage crowding, plan mobility solutions, ensure safety, and balance tourism with resident quality of life. The challenge is to develop a real-time, privacy-respecting system for tourist flow measurement and analysis.

The fundamental challenge of modern city governance is the “one-size-fits-all” approach. Our municipality offers hundreds of different services, from social assistance to cultural events, and from sports to tax services. However, these services and opportunities often fail to reach the right citizen at the right time. On one hand, an elderly citizen at risk of social isolation may be unaware of the free workshops offered by the municipality; on the other, a young person looking for a new hobby may not know about our sports facilities. Our challenge is the inability to understand the unique needs, interests, and living conditions…

Our city faces a challenge where multiple municipal departments manage separate information systems, including within the Tallinn Urban Environment and Public Works Department. The growing volume of data, if managed effectively, could significantly enhance city planning, development, and investment project design and/or prioritization. Currently, the amount of information exceeds available resources for thorough analysis, limiting the use of existing data in decision-making.

In recent years, the City of Venice has been enhancing its sustainable mobility infrastructure and services. However, these efforts have not yet resulted in a proportional increase in the number of residents and visitors choosing more sustainable modes of transportation. The primary challenge faced by the City is to overcome operational, social, and cultural barriers to promote behavior change toward more sustainable mobility choices, with a particular emphasis on cycling, while reducing reliance on private cars. This shift aims to reduce land consumption, lower greenhouse gas emissions, decrease air pollution, and improve the overall quality of life for the local…

Every morning, parents driving their children to school create congestion and safety risks near school entrances. While Cēsis Municipality has already introduced drop-off zones and speed bumps, these measures alone have not solved the issue. The long-term challenge is to change mobility habits and encourage children to reach school independently by walking or cycling. Traditional infrastructure alone cannot solve the issue. What is missing is real-time data, digital incentives, and smart monitoring tools that enable the municipality to actively manage school mobility and create safer, more attractive conditions for children. Smart technologies could play a key role in this transition:…

Creativity and creative districts drive both cultural and economic development. The question is, which spatial and social strategies allow campuses to become inclusive urban commons that foster encounters, learning and innovation? How do contemporary campuses enable and support the emergence of creative communities, the core of the so-called creative economy? Cities could utilise the information produced by the research in urban development, urban planning and business activities on stronger social ties, improved well-being, accessible cultural programming and better business.

Pärnu is a coastal city by the Baltic Sea that frequently experiences flooding. Extreme weather events, storms and rising sea levels often disrupt transportation inside the city and with surrounding areas. The main challenge is to know which roads remain open and accessible during floods to secure safety, emergency response and the continuity of vital services.

Cēsis Municipality has accumulated large datasets from traffic counts (cycling, pedestrian, car traffic in several spots in the city) and public transport ticket validations. These could provide critical evidence for infrastructure planning, identifying safety hotspots, and optimizing bus routes. However, due to limited analytical capacity, the municipality is currently unable to use these data effectively. As a result, decisions about new infrastructure or public transport improvements risk being made without solid data support.

The future urban challenge we aim to address is the advancement of sustainable and safe mobility in cities, with a particular focus on cycling infrastructure. The city of Barcelona already features nearly 2,000km of cycling routes and 264km of dedicated bike lanes. As part of its strategy to promote active mobility, the Barcelona City Council plans to increase the modal share of bicycles from the current 3.8% to 5.7% in the coming years, as outlined in the Barcelona Sustainable Urban Mobility Plan (SUMP). This approach aims to provide a systematic and data-driven framework for improving urban cycling infrastructure, ultimately promoting…

From 1 July 2025, Estonia’s amended traffic law repeals the clause that allowed stopping on pavements for loading/unloading; stopping on the pavement is only allowed where explicitly permitted by traffic control devices. In Tallinn’s dense centre, where curb space is scarce and many businesses currently depend on short stops right by entrances, this creates an immediate operational gap for urban freight and service vehicles.

The problem lies in the lack of a stable, decentralised electricity and heat supply system that could ensure a reliable and sustainable energy supply in crisis situations (power cuts, emergencies) while reducing CO₂ emissions through the use of renewable energy sources.

Safety in public spaces is essential for everyone. However, women and girls feel significantly less safe in cities and continue to face harassment, abuse, and acts of in some cases deadly violence. Recently, a 17-year-old girl was killed while cycling home on the outskirts of Amsterdam. This devastating incident has underscored the urgent need for action. This incident gained widespread attention in the Netherlands, receiving broad coverage in national media. Lisa’s death sparked strong public reaction, including protest across the country under the slogan “Wij eisen de nacht op” (“We reclaim the night”), and renewed discussions about women’s safety in…

We propose an IoT system that can be used to monitor status of city trees. For alleys of trees we can propose IoT system to monitor tree growth and soil moisture. Collect data per each tree and set of trees. Build a similar real-time dashboard system as for network monitoring. For community-supported watering practices — an app tells to people about trees that require watering; individuals can be paired with a tree to take care — app provides telemetry data about the tree and suggestions for maintenance; people can report incidents related to city trees.

Our TreeSense Pulse sensors, developed by our Munich-based startup, monitor water status and tree health in real-time. This data allows optimized irrigation, prevents tree stress, and ensures sustainable growth in challenging urban conditions. It has been tested in over one hundred client locations, including London, and deployed in major German and European cities. It combines sensor technology with adaptive tree pit management design to support root expansion, nutrient and water access, and stormwater absorption.

Heavier rainfalls, aging pipes, and stricter environmental rules are forcing cities to rethink how they operate and manage their water systems. Today, most maintenance is done only after problems like pipe breakages, stormwater floods or drainage clogging appear, and it requires a lot of manual work. To keep water systems running reliably in the future, cities need smarter tools that can spot issues early and help to plan maintenance before failures happen. Proactive asset management needs far more—and much better—data, including information from sewer sections that we currently can’t reach or inspect. We propose a solution that: 1. Uses robots…

The solution we are proposing is an adaptive geospatial planning and operations toolkit that links stormwater hydraulics, soil characteristics, and micro-topography with plant functional traits and 3D rainfall simulations. Its purpose is to optimize the spatial placement, type, and sizing of nature-based solutions (NBS), such as rain gardens, bioswales, tree pits, green streets, and retention areas, in pilot sites of partner cities. The toolkit would recommend locally adapted species mixes for each micro-site, drawing on an integrated knowledge base of plant traits and ecological indicators. It also provides a method to integrate realized NBS assets into existing 3D city models…

To meet this need, we propose the AI-Enabled accurate aerial material monitoring system for circular construction (AI-CircularScan), a closed-loop system that integrates 5G-connected drones, ultra-high-definition multisensory imaging, and AI-based accurate material status and decay detection this in turn will create accurate digital identities of reusable building materials. AI-CIRCULARSCAN deploys autonomous or semi-autonomous 5G drones, operating over public 5G or 5G Non-Public Networks (NPN) to ensure stable control and real-time data transmission in dense urban environments. These drones, equipped with ultra-high-definition cameras, LiDAR, and optional multispectral sensors, perform 360° multi-angle exterior scans of facades, roof structures, joints, and other difficult-to-access elements.…

I propose a complete rethinking after several pilot projects mentioned in the problem description. A three-layer decentralized system that transforms how cities gather and validate material data: Layer 1 — Commercial Layer: Decentralised “Scan Economy” A gamified point-to-value system encourages citizens, residents, delivery workers, handymen, students, and building users to contribute verified micro-scans of building elements. Participants earn municipal reward points redeemable for: • municipal fees, • public transport, • local shops and services, • cultural venues, etc. This creates a stable, city-sanctioned incentive economy that converts micro-actions into valuable circularity data. Partnered companies (construction, maintenance, housing associations) will also…

We propose an automated and non-automated modular Smart Waste Sorting Container. It builds on existing fill-level monitoring technology (the Tarkbox sensor system developed by TalTech’s ViDRiK center) and adds intelligent features to assist residents in sorting their waste. The container not only detects how full it is but also interacts with users at the moment of disposal – providing guidance, feedback and data collection.

We propose deploying an integrated multi-technology solution built on i) C-V2X–based infrastructure, ii) DSRC based infrastructure to broadly enable both direct and network-assisted communication between vehicles, and roadside infrastructure including traffic lights, 5G base stations etc., thereby supporting a reliable data and communication network towards autonomous driving. The easy to scale infrastructure will include Roadside Units (RSUs) and the required transmission protocols and messages, such as Signal Phase and Timing (SPaT). While the primary infrastructure will rely on C-V2X RSUs, many commercially available models, such as the Cohda MK6 RSU, Commsignia ITS-RS4, and ETTIFOS SIRIUS, also support DSRC and C-V2X…

The proposed solution establishes a unified, real-time data infrastructure that transforms heterogeneous city traffic data into machine-readable formats suitable for autonomous vehicles. We aggregate inputs from public, municipal and enterprise-specific sources and harmonise them into a reliable, standardised digital layer that AVs can directly interpret. The solution is open and extensible, allowing future data providers to be integrated regardless of their original format. Advanced AI methods are applied to clean, structure and interpret complex mobility datasets, while highly secure IoT components ensure trustworthy communication for safety-critical infrastructure such as traffic lights and roadside units. The resulting end-to-end system enables cities…

We are proposing a modular digital platform designed to help metropolitan areas, like Warsaw, understand, simulate, and mitigate Urban Heat Islands (UHIs). The solution is user-centric and scientifically robust, supporting urban planners and decision-makers with actionable insights. The platform integrates several components: • Dashboards and 2D mapping for project monitoring and indicator visualization. • 3D simulations and digital twin capabilities for scenario analysis and impact forecasting. • Advanced environmental indicator calculations and forecasts using remote sensing, terrestrial sensor networks empowered with AI/ML. • Seamless data integration and synchronization with city’s existing IT systems. The platform can track lifecycle of urban…

We propose the NCW Collaborative Climate Resilience Model – a governance-led framework that helps cities and private stakeholders create shared climate-resilience strategies and implement coordinated interventions. The model integrates three components: 1. Governance & cooperation framework A structured model defining responsibilities, incentives, communication channels and decision-making processes between the city, developers, property owners and businesses. This is the core of the solution. 2. Lightweight digital decision-support environment A flexible, modular tool integrating selected data layers (e.g., heat exposure, runoff, noise, shading, green coverage, mobility flows). It is not a full digital twin, but a practical support tool that: o visualises…

We propose a Public–Private Climate Action Model built around an Urban Climate Sprint, a structured, repeatable 8-step process that enables the city, local businesses, property owners, and GBG-service providers to jointly identify climate-stress hotspots, run rapid 30–60-day pilots that aim at mitigating the heat island, evaluate their impact, and convert successful pilots into permanent green–blue–grey (GBG) solutions. The model defines clear roles for each stakeholder, establishes transparent cooperation procedures, and integrates data-driven decision-making, enabling Warsaw or any city to systematically scale nature-based and cooling solutions across priority areas while sharing costs, responsibilities, and longterm benefits between public and private actors.…

The solution is an AI-powered city app built as a scalable SaaS platform. It will serve citizens first, providing personalized access to city services, events, and programs. At the same time, it will become the city’s first comprehensive digital tool for tourists, allowing them to explore the city, check local events, see real-time updates, and plan visits. The platform will be modular and flexible, so it can be deployed in multiple cities or countries. It will be able to integrate with city cards, transport cards, and other municipal systems through APIs, read and analyze existing data, and provide actionable insights…

INOWISE.IO Integrated City Platform is a modular, ready to-scale smart city platform designed to:  Integrate existing sensors, municipal systems, databases, GIS layers and APIs, without replacing infrastructure  Unify all urban data into a single real-time operational interface  Scale towards a complete Digital Twin, including GIS, CAD and BIM interoperability  Deliver immediate impact through dashboards, analytics, alerts, and real-time operational insights  The platform creates a holistic 360° view of the city’s assets, environmental conditions, mobility patterns, and building activity, enabling faster, data-driven decisions.

The project creates a new consultancy field: campus development facilitation for knowledge-intensive and creative sectors. It provides local city and campus actors with methods, concepts, and templates, and especially a practical, tangible and digital playbook including creative design concepts, ideas and examples for spaces and use. Using the scalable playbook, the consultant’s own creative input, and stakeholder interaction, the campus development process becomes alteration between creative design ideas and interaction with the involved. This supports informed, evidence-based and visionary decision-making. By fostering technological transfer from research to practice, as well as collaboration between campuses, local governments, and enterprises, a campus…

Morning school drop-offs create congestion, safety risks, and air pollution in urban areas. Traditional infrastructure (drop-off zones, speed bumps) has proven insufficient to change mobility habits. Cities need real-time data, digital incentives, and smart monitoring tools to encourage independent, active travel among schoolchildren. WeRide.Today addresses that gap by supplying the behavioural layer the city is missing. It is a mobile app that turns the school commute into an activity children want to participate in, using rewards and friendly competition to make walking and cycling feel natural. At the same time, it gives parents real visibility into actual route conditions, thanks…

Based on the challenge above, there is a need for a solution that enables local units and their stakeholders to define unit-level mobility strategies and implement concrete actions, while remaining aligned with city-, national-, and EU-wide mobility and sustainability objectives. Therefore, we propose Adaptive Unit Mobility Footprint Analytics (AUMFA) – a data-driven, multi-scale framework that produces mobility-footprint profiles for spatial units ranging from individual buildings and campuses to neighbourhoods, districts and entire cities. The system combines spatial and mobility data with contextual information about infrastructure and accessibility. It makes results accessible not only to planners, but also to other stakeholders,…

UrbIA (Urban Intelligence Agent) is an AI platform bridging fragmented city data and actionable decisions. Built on complex systems principles, UrbIA treats cities as M³ systems—Multilayer, Multiscale, and Multimodal—integrating semantic, spatial, and temporal reasoning in a unified framework. Specialized AI agents work in concert: for example, one searches regulations, another analyzes infrastructure spatially, a third visualizes results. Together they integrate information from separate municipal systems without requiring consolidation. For Tallinn, UrbIA will deliver three core functions: • Investment Prioritization Calculator: Scores projects analyzing construction site data—traffic, utilities, demographics • Maintenance Management Intelligence: Identifies infrastructure needs based on age, condition, usage,…

I propose a Transparent unified Infrastructure Investment Platform, consisting of: A. Unified City Infrastructure Data Hub (postgresql + postGIS) A minimal, standards-based data integration layer that consolidates Tallinn’s core infrastructure datasets 1. Built using open source solutions for assets, geometry, maintenance logs etc. 2. Designed for extensibility toward future sectors (parks, mobility, utilities). We intentionally avoid traditional GIS software (e.g., ArcGIS, proprietary tools) because these introduce: 1. high licensing costs 2. complex workflows 3. vendor lock-in 4. irrelevant features for Tallinn’s needs (and majority of the cities!) B. Investment Prioritization Calculator A transparent, multi-criteria scoring engine that evaluates proposed investment…

We propose an AI-powered conversational module that delivers personalized, timely information about services, spaces, and activities—while collecting instant user feedback—so that the right opportunities reach the right people without the need to search multiple websites or newsletters. The application will be driven by a conversational multi-language AI assistant and a backend machine learning data analysis tool, providing insights on the newly collected or already existing data. Available information will be gathered from campus or municipalities databases and digital infrastructures (e.g., as mentioned in Bagcilar, Istanbul, Turkey proposed challenge). The two AI modules (the front-end and back-end) will work jointly in…

Hubbcast proposes a hybrid, privacy-first Digital Citizen 360° platform that uses AI-powered insights to match each citizen with the services that best support their needs, interests, and life events. The solution builds on the existing Bağkart ecosystem without requiring heavy integration at the early stages. Core Innovations 1. AI-Generated Citizen Profiles (No sensitive data required) Light, behavior-based profiles identify: o Social isolation risk (elderly, vulnerable groups) o Interest patterns (sports, cultural events, learning programs) o Administrative needs (permits, renewals, life-event services) 2. Predictive Engagement Engine AI predicts what a citizen may need before they search for it. Example: “You may…

We propose Digital Citizen 360°, an AI-powered personalisation platform that unifies municipal data and transforms it into timely, targeted, and proactive citizen services. The system creates a dynamic 360° profile of each resident by integrating data from multiple city touchpoints, including social services, culture, sports, mobility, and administrative interactions. The platform includes four core components: 1. Unified Citizen Data Layer A secure, compliant foundation that consolidates and structures all municipal touchpoint data into a clean Citizen 360° Profile. 2. AI Personalisation Engine Machine learning models that detect citizen interests, predict unmet needs (such as inactivity, social isolation, or financial stress),…

Solutions overview: We propose a two-layer Smart citizen engagement platform combining Superhood’s community engagement technology with a to be developed AI-powered personalization engine. This hybrid architecture delivers a community-driven platform with personalized municipal service recommendations while maintaining citizen privacy and data sovereignty. • Architecture Components o Layer 1: Superhood community hub – A privacy-first interactive social platform serving as the citizen-facing interface. Superhood provides location-based news feeds, event calendars with automatic reminders, municipal service quick links, crowdsourced feedback mechanisms, and multi-language translation (~100 languages), among other social media-like features. Unlike traditional social media, Superhood does not require mandatory registration, does…

We propose a Proactive City Support System: a local, privacy-preserving platform that uses AI and automation to proactively match city services with residents’ real needs. Key components of the solution 1. Local AI Assistants Analyse city data, detect emerging needs, identify eligible services, create personalised recommendations, and automatically prepare documents. 2. Multi-channel communication Citizens receive information through WhatsApp, Telegram, SMS, email, mobile app or automated calls — whichever channel they prefer. 3. Case Management System (human follow-up) If a resident cannot be reached digitally or shows risk indicators (loneliness, crisis, vulnerability), the system automatically creates a case for social workers,…

The proposed solution (Urban Flow Intelligence System) is a privacy-preserving Tourist & Pedestrian Flow Intelligence Platform for cities, built on FIWARE, URBANITE, SUMO, and Apache Kafka.

The proposed solution is a mobile network data-based mobility analytics platform that aggregates anonymized signaling data from extensive mobile network infrastructure to map movement patterns in real time. The system leverages data from base stations and hundreds of thousands of mobile devices, processing this information through sophisticated anonymization and aggregation algorithms that are fully compliant with GDPR requirements and ISO/IEC 27559:2022 standards for privacy-enhancing data de-identification. The platform delivers actionable insights through intuitive visualizations and comprehensive reports covering mobility flows, temporal trends, and visitor origin analysis. Users can access these insights through a convenient self-service portal or export data in…

We propose implementing and scaling Resk.us – a platform leveraging open data and geospatial technology to map and optimize the distribution of emergency resources following a natural disaster. Resk.us is designed to connect individuals in need with support through a community-driven, data-centric application. The platform utilizes analysis of demographic, meteorological, and spatial data (GIS/OpenStreetMap) to create an interactive map that categorizes affected areas by urgency — urgent aid, medium aid, and low aid. Core functionality includes tracking available resources, listing shelter details (occupancy, specific needs like medication, food), and calculating the safest transit routes for users.

The initial proposal aims to collaboratively develop a smart community toolkit that empowers communities to better manage natural hazards. We aim to enhance communities’ capacity to understand and share disaster-related data, increase risk awareness, and facilitate humanitarian actions, such as organizing volunteer activities and managing logistics during emergencies. Our vision is for the community to collaboratively analyse data—sourced from both official city channels and crowd inputs—and make informed decisions based on this information. We aim to allow citizens to report information regarding floods (or other hazards) via social media and other channels (to be defined with the cities) and this…

The solution is a Flood & Multi-Hazard Resilience Platform for cities, built around four core components: LISFLOOD, SUMO, FIWARE, and Cell Broadcast, plus an innovative deep-learning layer. 2.1. Data & Flood Modelling Layer (LISFLOOD) A dedicated modelling service runs LISFLOOD / LISFLOOD-FP on calibrated catchments covering, its upstream rivers, and coastal/low-lying areas. LISFLOOD ingests numerical weather prediction (rain, snow, wind), sea-level and storm-surge forecasts, snowpack and soil-moisture data to compute grid-based runoff, river stages, and 2D floodplain depth/velocity maps for lead times from hours to days. Outputs (for each time step) are exposed as geospatial services (raster tiles, vector polygons)…

The Flood-Resilient Integrated City Governance solution represents an innovative tool built upon current state-of-the-art suite of flood management, as well as smart sensors and technological infrastructures. The solution is built upon the SaferPlaces (Global Platform AI-based Digital Twin Solution for Flood Risk Intelligence) that offers an advanced, scalable, and policy-relevant framework for supporting cities in the transition toward climate-resilient and flood-resilient urban systems. Main characteristics of the proposed solution are: – Comprehensive multi-hazard coverage, including pluvial, fluvial, and coastal flooding, enabling coherent planning across multiple risk types. – Cloud-based, high-performance modelling, enabling rapid scenario analysis and real-time flood simulations without…

Hubbcast proposes an AI-powered Disaster Prediction Layer that complements Bagcilar’s ongoing digital twin development and fully integrates with IMM’s award-winning disaster-focused Digital Twin (CEB Award 2025, Seoul Smart City Prize 2024). Core Innovations 1. AI Impact Prediction Real-time simulation of: o Earthquake building damage o Road blockages o Utility failures o Flooding extent and evacuation route viability 2. Dynamic Resource Allocation Optimized routing of: o Ambulances o Fire trucks o Rescue teams o Heavy equipment Uses rule-based optimization with optional reinforcement learning enhancements. 3. Multi-Channel Emergency Alerts SMS, push, WhatsApp, sirens o personalized safe-route guidance o offline maps for Internet…

We propose a modular city-scale digital twin that fuses sensor networks, hydrodynamic and sewer models, traffic and asset layers, and a decision engine to produce: 1. Real-time flood nowcasts and short-term forecasts at street level. 2. Road accessibility scores (open, risky, closed) updated continuously. 3. Service continuity planner that prioritizes routes and resources for hospitals, fire, utilities, and evacuation. 4. Citizen interface for alerts, safe-route guidance, and crowdsourced validation.

In order to be better prepared to face human-made threats, emergencies and disruptive events, different measures are under discussion. Since the type of possible disruptive events is multifaceted reaching from natural catastrophes over infrastructural failures to human-based security events, the needed support and protection services to the citizens depend on the type of a certain disruptive event. Therefore, we follow the idea of a flexible network approach consisting of fixed and mobile dual-use infrastructure components together with appropriate service portfolios that can be customized and adapted needs of a certain disruptive event. inspired by the existing concept of adaptive supply…

Our solution aims to address actual and perceived safety in urban settings deemed unsafe, especially at nighttime. We aim to employ state-of-the-art AI CCTV surveillance solutions, mobile (using security drones) or static, in combination with real-time human activity recognition (HAR) algorithms to enable accurate and quick response from the local police. Depending on the urban setting, the solution can be adjusted to the local conditions. For example, the City of Amsterdam is especially concerned about the safety on long, desolate bicycle paths on the city outskirts that connect event venues with residential areas. These paths typically have one entry and…

The proposed solution is the “Inclusive Night Safety Toolkit,” a spatially-driven, gender-inclusive urban planning framework designed to improve women’s safety and comfort in Amsterdam’s public spaces. The solution integrates evidence-based spatial analysis, inclusive design principles, and community participation to redesign nighttime public environments in ways that reduce fear, increase accessibility, and create equitable mobility options for women and other vulnerable groups. The Toolkit operates through four mutually reinforcing components: (1) Spatial Safety Mapping A targeted diagnostic combining spatial data, lighting patterns, path configurations, land-use characteristics, and women’s lived experiences. This mapping identifies unsafe segments and exclusionary spatial conditions that disproportionately…

We propose HearMe, a network of acoustic and vibration-sensitive panels installed on secluded paths, parks, and cycle lanes. Each panel reacts to distress sounds or violent vibrations such as screams, shouts for help, or sudden impacts. When detected, the system can instantly brighten nearby lights, trigger a sound-based alarm, and send an alert to a community network. AI filters collect and analyze on-site data to avoid false alarms and, if danger is modeled with high efficiency and accuracy, automatically notify police or emergency services with the exact location.

We propose the development and pilot implementation of a mobile application that improves the safety of women in urban public spaces. The solution leverages real-time data analytics, geolocation and risk mapping to identify unsafe areas and warn users when they are approaching locations with an increased likelihood of violence or harassment. The application integrates multiple safety parameters — such as lighting conditions, time of day, pedestrian and traffic activity, proximity to police services and crime statistics — to generate predictive risk assessments. In case of a perceived threat, users can instantly notify trusted contacts or security services and share their…

SafeCity for All is a holistic urban safety model integrating digital tools, spatial design improvements, and communitybased interventions. It gives cities a replicable, evidence-based framework to diagnose, pilot, and scale solutions that improve both perceived and actual safety. A. Digital Safety Layer: A privacy-first digital toolkit co-created with residents: Smart Safe Routes (Path suggestions based on lighting quality, crowd density, open venues, and historical risk indicators.), Companion Mode “Walk Together” (Realtime location sharing with trusted contacts.), Silent SOS ( Silent SOS – Discreet emergency escalation for vulnerable users.) Safe Hubs Map (Verified, open, well-lit businesses/institutions acting as “help-ready points.”), Safety…

In order to ensure renewable energy supply, three pillars of sustainable solutions need to be addressed: social-economic, environmental, and robustness. Here, a localized, cost-effective, environmentally friendly, feature-proof solution is proposed utilizing a decentralised microgrid (“energy island”). This holistic approach includes: ● H2 generation from renewable sources and e-fuel storage ● Mobile micro power plants with an emergency islanding mode to support critical facilities during outages ● IoT-based monitoring of key energy assets ● AI and Digital Twin

Electricity supply in cities is provided by distribution system operators (DSO), who are responsible for ensuring a secure and sufficient power supply. Cities rely on DSO planning and operating procedures to improve the resiliency of their power systems. Most DSO-s operate in multiple cities and plan their investments at least two years in advance. This results in cities having limited say and means to prepare for crises or adverse events. We propose municipal electric grids for power system reconfiguration and redundancy. Most municipalities own and operate power systems through public streetlighting. For DSO-s, it is already common to plan and…

We propose an integrated solution at the intersection of ‘Safe City’ and ‘Climate Resilient City’ priorities, namely the development and piloting of a Resilient Urban Energy Hub (R-UEH) — an autonomous, modular, scalable, and resilient energy supply system designed as a “cellular network”. Each base module is formed around one or several buildings (residential blocks, schools, shopping centers, etc.). The solution thus implements the microgrid concept, facilitating decentralization of energy production, storage and distribution, and is fully capable of operating in off-grid mode. Main components: • Distributed local renewable generation based on solar panels installed on roofs, facades, and ground-mounted…

We’re proposing a video analytics solution running on the city’s existing surveillance cameras (with some instances where new cameras need to be installed). Video analytics is based in our developed Computer Vision algorithms that help classifying different traffic objects (cars, vans, buses, bicycles, pedestrians, etc.), and detecting different trafficrelated events. Data is processed on the EDGE and abides by all required data privacy standards (GDPR, ISO). Our solution allows the city to automatically identify vehicles in the zones of interest, and define when and how they would be dealt with. Our solution can automatically cut evidence material on traffic infrignments,…

We propose a unified smart curbside and parking management system that integrates real-time sensors, digital navigation, and flexible use of existing parking and loading assets. Sensors installed at parking spaces and loading bays provide live occupancy data, which is fed into a platform connected to the city’s parking app to guide drivers directly to available spots and enable seamless payment. A key component is dynamic parking sharing, where under-used private parking areas in housing, office, and commercial buildings are opened for broader use at times when their primary users do not need them—for example, office parking can serve residents and…

The proposed solution is an integrated urban freight curbside management system that replaces informal pavement stopping with regulated, data-driven loading infrastructure. The system consists of three connected measures: (1) timewindowed loading bays near major trip generators, (2) smart loading zones equipped with digital booking and automated occupancy monitoring, and (3) curb extensions or “loading pockets” implemented in spatially constrained street environments. Time-windowed loading bays provide lawful, predictable stopping opportunities where demand is highest. Research shows that dedicated, time-restricted bays reduce illegal stopping, shorten search time for loading space, and improve overall delivery efficiency (Holguín-Veras et al., 2020, p 366). Furthermore,…

What is the solution you are proposing for the challenge above? The safe and attractive cycling infrastructure project team proposes a solution built on the Lane Patrol platform, enhanced with innovative modules to address not only the specific urban cycling challenges of Barcelona and Lviv, but also those of other cities with diverse mobility contexts, by integrating AI and machine learning techniques at various stages of the process. The platform will provide quantitative insights into existing infrastructure and support evidence-based planning of future cycling networks: A) Diagnosis of the existing cycling network: Building on the internationally recognized CycleRAP standard (analysis…

The Safe Mobility Intelligence Platform (SMIP) is an integrated analytics and simulation environment that transforms traffic counts, multimodal mobility flows, and public transport ticket validations into actionable insights for safer and more efficient city mobility systems. Its core pillars are an advanced analytics layer built on Apache Superset, a simulation engine powered by Eclipse SUMO, and an optional AI extension that elevates the platform beyond classical analytics.  https://superset.apache.org/  https://eclipse.dev/sumo/ Supporting these layers is an event-driven data pipeline using Apache Kafka, enabling seamless ingestion, harmonization, and scenario generation. Superset provides a fully no-code analytics environment, meaning municipal staff can…

We’re proposing a video analytics solution running on the city’s existing surveillance cameras (or in some instances new cameras are required to be installed). Video analytics is based in our developed Computer Vision algorithms that help classifying different traffic objects (cars, vans, buses, bicycles, pedestrians, etc.), measuring the flow of each object in real-time, and detecting different traffic violations (running the red traffic light, illegal turns, entering the bus lane, etc.). Data is processed on the EDGE and abides by all required data privacy standards (GDPR, ISO).