This report describes the various digital maps and visualizations that are possible with the geodata-based data warehouses and RESTful APIs built-in Activity A2.1 of the RESPONSE project. The visualizations are connected to the two KPIs travel time and fuel consumption that are the focus in Activity A2.4. The maps and queries presented in this report are all available at https://mapapi.cs.aau.dk. This website covers fully the three countries Denmark, Faroe Islands, and Sweden.
Two main approaches to creating digital maps are provided. In the web browser approach, geodata is displayed directly on maps in the browser. No installation of software is required and the data can be used as screenshots or the data can be downloaded. In the RESTful API approach, the geodata can be downloaded in the widely used GeoJSON format and displayed in GIS software. With the latter approach, the geodata made available via the RESPONSE project can easily be integrated with other geodata sources in transportation organizations. Note that all functionality provided by the web browser approach is also available via the RESTful API approach.
For all relevant RESTful API endpoints, it is possible the different models for travel time estimation proposed in Appendix A of Output 2.1. Understanding these models requires a certain level of technical knowledge. To avoid confusion from non-technical users Model C is always the default model as it generally is the most accurate. For privacy reasons only the RESTful endpoints that rely on the prediction of travel times are available online for all. The other RESTful endpoints require that a user is registered and logged in.
Read the report HERE.
Two main approaches to creating digital maps are provided. In the web browser approach, geodata is displayed directly on maps in the browser. No installation of software is required and the data can be used as screenshots or the data can be downloaded. In the RESTful API approach, the geodata can be downloaded in the widely used GeoJSON format and displayed in GIS software. With the latter approach, the geodata made available via the RESPONSE project can easily be integrated with other geodata sources in transportation organizations. Note that all functionality provided by the web browser approach is also available via the RESTful API approach.
For all relevant RESTful API endpoints, it is possible the different models for travel time estimation proposed in Appendix A of Output 2.1. Understanding these models requires a certain level of technical knowledge. To avoid confusion from non-technical users Model C is always the default model as it generally is the most accurate. For privacy reasons only the RESTful endpoints that rely on the prediction of travel times are available online for all. The other RESTful endpoints require that a user is registered and logged in.
Read the report HERE.
