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

jiri.bouchal@is-practice.eu