Geographic Information Systems

Information is the vehicle and data are the fuel

We use Geographic Information Systems (GIS) to capture, store, collate, visualise, manage, and analyse spatial data and generally, data based on a location.

We provide tailored solutions for all AETHON’s sectors and especially for Traffic Safety, urban planning, spatial planning and Logistics.

 

Transport and GIS

In AETHON, we utilise GIS to enhance our transportation engineering skills since geography and transport are strongly correlated scientific areas. We use geo positioning and geo referencing to elucidate data and clarify their connection to the real world enhancing our capabilities to model and understand the impact of problems and solutions.

We visualise our results using GIS systems, especially in the context of Traffic Simulation and Data Services providing new insights into the data, understand the extent of different phenomena on cities or areas and accomplish better proposals for solving transportation problems of today.

 

Instilling Intelligence

We create geo-enabled applications and web tools empowering our customers and end-users into accessing meaningful data. We create innovative connections between geo-data that allow improved understanding of the mapped world.

In AETHON, we create smart algorithms based on the power of geo-data. Those include routing algorithms, route matching, map matching, choice modelling, location querying and more. We employ Artificial Intelligence models to learn from the user and from logistics movements presenting better recommendations through pattern recognition.

 

Sharing and creating

Geo-enabled data allow better sharing of information and collation of data. Proper orchestration of a data collection procedure requires geo-enabled tools for registering data with proper context information. For example, AETHON has executed data collection with questionnaires in multiple locations in Greece and used its GIS web-tools for data registration. In another example, we have used GIS to determine density of pedestrians in various locations such as train stations while we have used GIS tools to present data to stakeholders based on location which improved co-creation and communication activities with end-users.

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