SafeMobility offers a cloud‑based platform that uses predictive analytics and GIS to generate hazard scores for road segments, helping municipal planners prioritize pedestrian and cyclist safety projects. The system combines traffic, crash, and environmental data with a citizen feedback portal and budget‑optimization tools, delivering actionable insights that align interventions with available funds. Data can be accessed via APIs for integration with existing city information systems.
Funding
Funding not disclosed
Founders
Product
Problem
Municipalities often lack data-driven tools to pinpoint the most hazardous locations for pedestrians and cyclists, resulting in unprioritized safety spending and delayed interventions. Public consultations generate valuable feedback but are difficult to analyze at scale, limiting actionable outcomes and eroding community trust.
Solution
SafeMobility provides a cloud‑based platform that combines predictive analytics with structured citizen engagement to identify and rank high‑risk road segments for vulnerable users. The system ingests traffic volumes, crash records, road geometry, and environmental factors to generate probabilistic hazard scores for each street segment. These scores are visualized on an interactive GIS map, enabling planners to target safety measures where they will have the greatest impact. An integrated citizen portal collects location‑specific feedback, automatically aggregates responses, and surfaces actionable insights for decision makers. The platform also includes budgeting tools that align recommended interventions with available municipal funds, helping cities maximize the effectiveness of limited resources. All data are stored securely and can be exported via standard APIs for integration with existing city information systems.
Target Audience
Primary customers are municipal transportation, public works, and urban planning departments responsible for pedestrian and cyclist safety, as well as city officials seeking data‑driven prioritization of infrastructure investments.
Features
- Predictive risk engine that fuses crash data, traffic counts, road design attributes, and weather variables to produce granular hazard scores
- Interactive GIS dashboard with heat‑map visualizations, filterable by user type (pedestrian, cyclist) and severity thresholds
- Scenario simulation module that estimates the safety impact of proposed infrastructure changes (e.g., protected bike lanes, traffic calming)
- Citizen engagement portal offering location‑based surveys, real‑time feedback collection, and automated sentiment analysis
- Budget optimization tool that aligns recommended safety projects with fiscal constraints and prioritization criteria
- RESTful API and data export in CSV/GeoJSON formats for seamless integration with municipal GIS and asset‑management platforms
- Role‑based access control and end‑to‑end encryption to ensure compliance with public‑sector data security standards