Artificial Intelligence for smarter, safer cities.

AI for good

AMAG is applying advanced video and predictive analytics technologies to empower road safety managers and transportation planners to achieve Vision Zero and Safe System policy objectives.

Smart Cities

AMAG is building a digital platform that supports Smart City goals and objectives, enabling cities to harness advanced technologies to contribute positively to social imperatives and wellbeing

SMART Digital Platform for Transport Safety & Operations Management

The AMAG SMART Digital Platform will enable governments to Monitor, Manage, and Mitigate risks associated with Mobility for all road users on their transport networks.

AMAG is developing the Safe Mobility Alert Real Time (SMART) Digital Platform to support Vision Zero and Safe Systems approaches globally. Using video analytics, AI, Deep Learning, and Advanced Econometrics, the founders of AMAG have solved the challenge of predictive analytics for road safety, and over the past decade have proven the methodology and technology through research, refinement, testing, and validation with 22 city customers across 8 countries globally. Crashes have been reduced between 20% and 60% from using AMAG predictive analytics. 

Having successfully developed world-leading methods that will help governments achieve Vision Zero and Safe Systems policy objectives, the leadership team is digitally transforming road user risk management by commercialising the SMART Digital Platform. 

CSO

Continuous Safety & Ops Dashboard

Monitoring & Alerts
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DRM

Diagnostic Risk Mitigation Insights

Deep Analysis
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ATS

Adaptive Traffic Signal Plugin

Real-Time Risk Optimisation
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Empirical basis, video analytics and surrogate measures

The AMAG digital platform involves processing in fine detail the empirical evidence enabled by video monitoring of a site. Video analytics, making use of the latest AI, classifies all road users in space and time. Based on more than 70 years of cumulative research, the DRM computes more than 20 surrogate measures from the processed video information, which are then used in advanced econometric models and AI to piece together a complete picture of user crash risk both current and future. 

Pedestrian-vehicle Interaction

AMAG technology is particularly useful for understanding risk to vulnerable road users, be they pedestrians, cyclists, or scooter users. The technology measures flows, speeds, trajectories, violations, and crash risk with other road users (e.g. vehicles) by time of day and spatial location (e.g. northbound approach to an intersection).

Complex road user interactions.

Many transport network locations involve complex road user interactions. These locations include intersections, school zones, railroad crossings, motorway onramps, and mixed-user corridors (e.g. light rail, tramways, etc.). As most transport network locations have unique design and operational challenges, using AMAG technology can provide rapid feedback on the safety and operational performance of these sites, before crashes occur.

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