Traffic Volumes Visualization: the Pilsen Case · the Pilsen Case Jiri Bouchal IS-practice...
Transcript of Traffic Volumes Visualization: the Pilsen Case · the Pilsen Case Jiri Bouchal IS-practice...
Traffic Volumes Visualization: the Pilsen Case
Jiri Bouchal
IS-practice
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The Pilsen problem? Traffic …
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… and multiple road works
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
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Situation in Pilsen
A year ago: first prototype (OTN)
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Planned road closure
Major detours
Amount of cars per street segment
/ hour
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Pilsen Smart City Policy
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Development of a new web app
Currently 10 major road works in the city included in the traffic modelling
Regular quarterly re-calculation to reflect current situation
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Major city roadworks included
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
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Traffic Modelling Methodology
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Dynamic Visualisation of Traffic
Traffic animation per hour
Date selection
Overview of ongoing
roadworks
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Road Segment and Road Work Details
Amount of cars per hourTraffic intensity level
Roadwork details (scope, duration, detour)
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Traffic intensity levels
Traffic intensity levels according to the commonly used scale
‘Gantt-chart-like‘ overview of road works
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Interactive Timeline
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
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Benefits
https://intenzitadopravy.plzen.eu/
English version available at http://opentransportmap.info/plzen/
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Try it yourself!
Title: Policy Development based on Advanced Geospatial Data Analytics and Visualisation
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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)
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
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Traffic volumes in PoliVisu: Goal
THANK YOU
ANY QUESTIONS?
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@JiriBouchal