Advanced Mobility Analytics Group develops the SMART Digital Platform, which utilizes video and LiDAR data combined with artificial intelligence to provide real-time traffic monitoring and predictive analytics for transportation networks. This technology addresses the inadequacies of traditional crash data by delivering actionable insights that enhance road safety and optimize traffic management, ultimately saving lives and reducing operational costs.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional methods of traffic data collection, such as inductive loops and manual counts, are often unreliable, inaccurate, and provide limited insight into road user behavior. Reliance on lagging crash data for safety management is reactive and ethically questionable due to its inherent incompleteness and biases. Existing software solutions often reside on outdated servers, hindering real-time access to analytics and limiting internal capacity building.
Solution
Advanced Mobility Analytics Group (AMAG) offers the SMART Digital Platform, a Software-as-a-Service (SaaS) solution that transforms video and LiDAR data into actionable insights for improved road safety and traffic management. The platform utilizes AI and machine learning to analyze traffic patterns, identify critical conflict points, and predict potential crashes. By providing real-time monitoring and predictive analytics, the SMART Platform enables proactive interventions, optimizes traffic flow, and supports data-driven decision-making for transportation network safety, operations, asset management, and network modeling functions. The cloud-based delivery ensures continuous access to up-to-date analytics and customer data, fostering better road safety investment and operational insights.
Target Audience
The primary target audience includes departments of transport, engineering consultancies, and urban planners responsible for road safety, traffic management, and transportation network optimization.
Features
- Video and LiDAR data integration from fixed and moving platforms for comprehensive road user and environment information capture.
- AI-powered analytics to identify critical conflicts, predict crashes, and assess risk factors.
- Customizable dashboards for real-time monitoring of traffic networks and activity logs.
- Predictive analysis and suggested remedies for proactive safety management.
- Support for Vision Zero and Safe Systems approaches.
- Cloud-based SaaS delivery for continuous access to data and analytics.
- Integration of advanced econometrics for enhanced predictive capabilities.
- Digital traffic surveys to replace manual strategies for traffic flow and speed analysis.