
Generate all your transportation analyses
on a single platform!
Armoni is designed to integrate urban transportation data into a single platform, providing advanced analytics for public transport, micromobility and traffic management and activity based modeling. The software offers city planners actionable insights for optimizing transportation networks and supporting sustainable urban mobility.
We provide multimodal mobility insights in operational, tactical and strategic levels (travel demand analysis, origin-destination analysis, congestion index, queue dynamics, traffic flow, etc.) for future plans by using different mobility data input sources like vehicle, public transportation and location based services.

Understanding the city’s macro scale mobility by analyzing the public transport activity and density change in time-based
Micromobility
Analysis
By turning accident related data like accident type, location, road users, infrastructure, weather, etc. into actionable insights (road safety ranking, hotspot analysis, relations with traffic data, etc.) more accurate data-based decisions are enabled.
​
​

Measuring the public transport service level of the zones and analyzing the demands with zone-based travel productions
Public Transport
Analysis
By using different data inputs like road side sensors, traveler data, road closures, etc. the more effective, real-time traffic management is provided with comprehensive solutions like dynamic junction management,
integrated corridor management, real-time traffic density and traffic estimation, etc.

Understanding the cities’ public transport travel demand and patterns to provide insights for more efficient data-based decisions
Traffic
Analysis
Armoni allows you to integrate, overlay, and analyze all your transport data in one platform, providing multi-modal mobility analytics at a glance!
KEY FEATURES
_edited.png)
Integration of Different Transportation Modes
Combining data from various sources such as road network system data, public transport smart card data, traffic sensors, and shared micromobility (bicycle and scooter) data to unify information on different transportation modes under a single platform.

Urban Mobility Data Analysis
Integrating and analyzing mobility data in a meaningful way to support sustainable urban transport planning.
_edited_edited_edited_edited.png)
_edited_edited.png)
Mobility Demand and Behavior Analysis
Analyzing mobility demand, travel behavior, and distribution patterns in cities to derive actionable insights.
USING AREAS EXAMPLES

Sustainable Urban Mobility Plans
.png)
​Selection of bicycle lanes
.png)
Determination of urban functional area
.png)
Transportation Master Plans
.png)
Identifying public transportation investments
.png)
Selection of Automated Traffic Enforcement System points
