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Traffic volumes visualization: Pilsen Case
- 1. Traffic Volumes Visualization: the Pilsen Case Jiri Bouchal IS-practice IS-practice Plan4all conference, Chateau Kozel, 4 Oct 2017 1
- 2. The Pilsen problem? Traffic … IS-practice Plan4all conference, Chateau Kozel, 4 Oct 2017 2 … and multiple road works
- 3. Intense traffic in the rush hours No coordination of road works planning -->Multiple overlapping road works (different organisations involved) Citizens not well informed about road closures IS-practice Plan4all conference, Chateau Kozel, 4 Oct 2017 3 Situation in Pilsen
- 4. A year ago: first prototype (OTN) IS-practice Plan4all conference, Chateau Kozel, 4 Oct 2017 4 Planned road closure Major detours Amount of cars per street segment / hour
- 5. IS-practice Plan4all conference, Chateau Kozel, 4 Oct 2017 5 Pilsen Smart City Policy
- 6. IS-practice Plan4all conference, Chateau Kozel, 4 Oct 2017 6 Development of a new web app
- 7. Currently 10 major road works in the city included in the traffic modelling Regular quarterly re-calculation to reflect current situation IS-practice Plan4all conference, Chateau Kozel, 4 Oct 2017 7 Major city roadworks included
- 8. City divided in 180 ’traffic generators’ (urban zones, office districts, shopping malls, industrial zones, university campus, schools) Origin-destination matrix calculates the counts of vehicles among all traffic generators in the city Vehicles amounts assigned to the road network Fastest route and the capacity of streets taken into account Subsequent calibration by street measurements (sensors and manual) Daily and hourly traffic volume coefficients application Data published as WMS-t IS-practice Plan4all conference, Chateau Kozel, 4 Oct 2017 8 Traffic Modelling Methodology
- 9. IS-practice Plan4all conference, Chateau Kozel, 4 Oct 2017 10 Dynamic Visualisation of Traffic Traffic animation per hour Date selection Overview of ongoing roadworks
- 10. IS-practice Plan4all conference, Chateau Kozel, 4 Oct 2017 11 Road Segment and Road Work Details Amount of cars per hour Traffic intensity level Roadwork details (scope, duration, detour)
- 11. IS-practice Plan4all conference, Chateau Kozel, 4 Oct 2017 12 Traffic intensity levels Traffic intensity levels according to the commonly used scale
- 12. ‘Gantt-chart-like‘ overview of road works IS-practice Plan4all conference, Chateau Kozel, 4 Oct 2017 13 Interactive Timeline
- 13. A static traffic model of the city brought to the public in an open, web-based, interactive form Citizens receive regularly updated information about the road works in the city Prediction of traffic situation – this is what Google, Waze and others do not have! City can better coordinate planned works Data available for further use in other domains – e.g. marketing & advertising, noise and emission calculation, real-estate IS-practice Plan4all conference, Chateau Kozel, 4 Oct 2017 14 Benefits
- 14. https://intenzitadopravy.plzen.eu/ English version available at http://opentransportmap.info/plzen/ IS-practice Plan4all conference, Chateau Kozel, 4 Oct 2017 15 Try it yourself!
- 15. Title: Policy Development based on Advanced Geospatial Data Analytics and Visualisation IS-practice Plan4all conference, Chateau Kozel, 4 Oct 2017 16 Next? PoliVisu Project Duration Nov 2017 – Oct 2020 Financed under H2020 15 partners from all over Europe Solutions verified in three pilots: Ghent, Pilsen, Paris (Issy-les-Moulineaux)
- 16. Automated traffic model recalculation (close to real-time) Using parallel cloud computing and distributed server infrastructure (e.g. AWS) Use of road sensor data and Waze data for the traffic model improvement and calibration Short–term (few hours) traffic prediction based on current traffic IS-practice Plan4all conference, Chateau Kozel, 4 Oct 2017 17 Traffic volumes in PoliVisu: Goal
- 17. THANK YOU ANY QUESTIONS? IS-practice Plan4all conference, Chateau Kozel, 4 Oct 2017 18 @JiriBouchal jiri.bouchal@is-practice.eu
Editor's Notes
- Wireframes of the new GUI - Development April-June 2017
- Traffic volume calculation methodology The application predicts the traffic volume on a selected day and hour based on the traffic model of the city and currently ongoing roadworks. The calculated traffic volume is calibrated by the street measurements. The traffic model is based on a matrix that calculates the number of vehicles travelling between every two of approx. 180 'traffic generators' located in the city e.g.: urban zones, office districts, shopping malls, industrial zones, university campus, schools etc. The roadworks ongoing on the selected date are taken into account in the calculation as well. After the matrix calculation the counts of vehicles among all the traffic generators are portrayed on the road network, while the ideal (fastest) route together with the capacity of streets and crossroads is taken into account. The resulting traffic volume is subsequently calibrated by the street measurements of vehicles counts at selected locations. In order to display the traffic volume in the dynamic web application, the colour scheme of five colours (from green to red) is used to represent the traffic volume, matching the five traffic volume levels used by the Police (see the Legend). The figures displayed on the road segments represent the expected amount of vehicles on the street per hour. The web application consumes the data in the form of a WMS-t web map service (see specification, annex D).
- https://intenzitadopravy.plzen.eu/ English version available at http://opentransportmap.info/plzen/
- ‘Gantt-chart-like‘ overview of road works published in the web app Details on each of the road works provided below
- the close-to-real-time traffic model recalculation requires a significant computing power which has not been available until recently. However, the recent availability of distributed server infrastructure and parallel cloud computing technologies (e.g. the Amazon web services), and the research of the MapReduce programming model done by the PoliVisu team allows to perform such big data calculation in almost real-time which makes it usable for these web applications