Dynamic Visualization of Volume of Traffic

Transcription

1 Dynamic Visualization of Volume of Traffic Karel Jedlička, Jan Ježek, Michal Kepka, Pavel Hájek, Tomáš Mildorf, František Kolovský, Daniel Beran University of West Bohemia, Pilsen, the Czech Republic Supported by the European project OpenTransportNet (CIP-ICT-PSP-PB )

2 Content Introduction to OpenTransportNet project. Methods for dynamic phenomena visualization suitable for traffic flows Nature of traffic flows Estimation of the traffic flow parameters Development of spatiotemporal data model for purposes of dynamic data visualization Implementation of selected methods in a browser (2 examples) Conclusions

3 Open Transport Net Organisation Country Role Organisation Country Role 1. CORVE (Flemish egovernment Agency) BE Project Coordinator & Proof of Concept 8. Help Service Remote Sensing CZ Exploitation Lead and Pilot Partner 2. IS-Practice BE Project Management 3. Intrasoft GR Technology Lead 9. Issy Media FR Communication Lead 10. EDIP CZ Data Modelling Experts 4. 21c Consultancy UK 5. Birmingham City Council UK 6. iminds BE 7. CEN Group UK Co-Design and Dissemination Support Pilot Partners and Transport Data Experts Data Aggregation and Validation Experts Transport Technology Experts and Pilot Partner 11. University of West Bohemia CZ 12. Exigen LV 13. Antwerp BE Pilot Site 14. Athens Technology Centre GR Geospatial Experts and Standards Coordinator New Service Support Mobile Development Innovation Tools

4 Challenge Stimulate innovation, business activities and improved public services by improving access to Open GI Data - especially for SMES Data: disharmonized, scattered across different domains, difficult to access, and, in the case of VGI, not validated. Technology: Spatial and non-spatial data needs to be combined/ linked in order to extract value and increase accuracy. Innovation: Businesses and other stakeholders need easier APIs and GUI for accessing and analyzing data and new services to more easily derive accurate insights and apply knowledge in a real world context.

5 How to visualize dynamic phenomena? Basic differentiation Static maps (using map series) Dynamic maps (showing changes of both location and attributes) Focused on traffic flows 2D techniques Color describing traffic flow speed Dynamically moving objects (cars) along network edges simulate speed. Edge thickness shows the volume of traffic Multiple Coordinated Views (MCV) 3D and 4D techniques Space-Time Cube (STC) ~ Z for time STC and Trajectory Wall

6 How to visualize traffic flows? Color describing traffic flow speed Edge thickness shows the volume of traffic Multiple Coordinated Views

7 Parameters of traffic flows Road capacity Maximum number of vehicles passing network segment per a time unit Static (can differ for flow direction) Volume of traffic Number of vehicles passing network segment per a time unit Differs for flow direction for vehicle types in time Traffic flow Uncongested (until the volume reaches the capacity) Congested (after) Vehicles count congested flow Road capacity Traffic volume uncongested flow Flow speed

8 How to calculate traffic flows? Road capacity Can be derived from road network (max. speed, number of lanes, width of lanes, road curvature, etc.) Volume of traffic Demographic data (~ traffic generators) Road network (finds way among traffic generator) Traffic census (for calibration) Day, week, annual and long term variation curves

9 How to calculate traffic flows? 1. Traffic generators 2. Traffic flow matrix zones 3. Modal split Individual: Public: cars cyclists pedestrian bus train city transport 4. Traffic Flow allocated on the net volume of traffic

10 How to calculate traffic flows? Demography, road network, traffic census ~ static visualization

11 How to calculate traffic flows? Time variations ~ dynamic visualization

12 How to store traffic flows? INSPIRE Transport Networks + Traffic Volumes Extension

13 Multiple Coordinated Views

14 Traffic flow near real time recalculation

15 Conclusions OTN Pilots Antwerpen Infrastructure maintenace Birmingham Road safety Issy Multimodal route planner Liberec Crisis management Other (European) cities? API s?

16 Conclusions Acknowledgements: The authors of this paper are supported by the European Union s Competitiveness and Innovation Framework Programme under grant agreement no , the OpenTransportNet project.