Traffic Scout is a powerful yet easy-to-use tool designed for traffic planners to monitor, analyze, and forecast urban mobility patterns. By combining real-time traffic data, predictive analytics, and impact assessment tools, the app helps cities reduce congestion, improve road safety, and support carbon-neutral transportation planning.
Leverage real-time mobility data to prioritize sustainable transport modes such as walking, cycling, and public transport while optimizing road usage and alternative routes to reduce high-emission areas. By integrating real-world traffic impact assessments, cities can make informed decisions to support low-emission zone (LEZ) planning and create more sustainable urban environments.
Identify high-risk areas to implement traffic calming measures and enhance road safety while leveraging predictive analysis to anticipate congestion and prevent potential road hazards. Provide emergency response teams with real-time incident insights, enabling faster and more effective interventions to improve overall urban mobility and safety.
Evaluate the impact of traffic policies and infrastructure projects on emission reduction and safety goals while utilizing before-and-after analytics to measure the effectiveness of new public transport routes or road redesigns. Strengthen the case for sustainable mobility solutions by providing data-backed reports that justify funding and demonstrate measurable improvements in urban transportation.
Our smart mobility analytics platform empowers cities and urban planners with data-driven insights to optimize transportation networks, enhance sustainability, and improve commuter experiences. By leveraging AI and real-time data, we provide a comprehensive solution to tackle traffic congestion, reduce emissions, and integrate seamlessly with existing infrastructure.
mobility insights
Monitor traffic volumes, congestion hotspots, and transport mode distribution to make informed planning decisions.
traffic and emission forecasting
Use AI-powered models to analyze the impact of new roads, transit routes, or low-emission zones on congestion and CO₂ footprint.
integration with city systems
Connect with existing sensors, traffic lights, and mobility platforms to reduce implementation time & costs.
AI based machine vision with central processing enables you to use traditional city CCTV cameras to generate traffic data. This is very cost efficient way to introduce new traffic measurement points in your city. System also allows integration of most used machine vision cameras to push preprocessed data to the app.
- Instant Access to Traffic Insights – Monitor real-time traffic data, analyze mobility trends, and make informed planning decisions.
- AI-Powered Predictions – Use advanced forecasting to optimize road networks, improve safety, and reduce congestion.
- Seamless Integration – Easily connect with your existing city infrastructure and data sources.
Getting started
- Book a Demo – See Traffic Scout in action with a guided walkthrough.
- Start a Pilot – Get hands-on experience with real-time traffic data.
- Full Deployment – Our experts help you scale the solution city-wide.
We’re Here to Support You! Our team provides full onboarding, training, and continuous assistance to ensure your success.
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