First half of project iTrEMP successfully completed

As reported earlier WeAreDots Ltd. and EDI are working on project "iTrEMP: Intelligent transport and emergency management platform” ( Project).

The project objective is to develop an innovative platform for traffic data acquisition, distribution and management (Platform) which could serve as a basis for new products supporting greener and more efficient development and management of cities.

The first half of the project has successfully completed. Four project activities are ongoing in parallel:

1. Methods for more efficient and universal data aggregation from sensors:
   • Subactivity 1.1 - Design of data model - completed;
   • Subactivity 1.2 - Data acquisition methodology - ongoing;
   • Subactivity 1.3 - Laboratory validation of a data synthesis method - ongoing.
2. Machine learning for data analysis and decision making:
   • Subactivity 2.1 - Analysis of applicable machine learning model - completed;
   • Subactivity 2.2 - Development of selected machine learning models - ongoing;
   • Subactivity 2.3 - Laboratory validation of machine learning models - ongoing.
3. Methods for acquisition and analysis of bulk (video) data:
   • Subactivity 3.1 - Analysis of applicable methods for local metadata extraction - completed;
   • Subactivity 3.2 - Analysis of applicable distributed data processing methods - completed;
   • Subactivity 3.3 - Development of selected bulk data acquisition and analysis methods - ongoing;
   • Subactivity 3.4 - Laboratory validation of bulk data acquisition and analysis methods - ongoing.
4. Development of platform prototype:
   • Subactivity 4.1 - Central data storage and distribution platform prototype - ongoing;
   • Subactivity 4.2 - Data acquisition, processing and analysis module prototypes - ongoing;
   • Subactivity 4.3 - Platform prototype validation - ongoing.

The total costs of the project are planned 878 510,21 EUR, of which ERDF support is 599 316,15 EUR or 68,22%. Project has been started on April 1, 2019 and will continue for total of 18 months till end of September, 2020.

At this moment four deliverables have been successfully completed:

• D1: Data model design document
• D2: Report on local metadata acquisition methods
• D3: Report on applicable machine learning models
• D4: Report on distributed data processing methods