Big data for traffic planning

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Presentation transcript:

Big data for traffic planning Dr. Gabriele Domschitz, Managing Director Wiener Stadtwerke

Modal shift in Vienna

Urbanisation – growing Vienna Population (1.1.2017): 1.87 Million people Development by age groups 2014 - 2024 forecast 2014-2024

Facts for capacity planning Mobility demand as a result of urban development and the growing city Permanent analysis of (de-)boardings by automatic and manual counting methods Daily observation of traffic operation, actual demand and passenger flows

Timetable - intervals We have defined maximum intervals for an attractive network. On many lines, we offer even much denser intervalls. A deeper analysis of intervals take place when the actual utilised capacity exceeds defined threshold values. Interval [min] Mo - Fr Sa, Su, evening late evening and early morning Sa, Su Subway 5 7½ Tram … 10 10 15 B us ( city ) 7½ … 10 surburbs 10 … 30 15 … 30 15 … 60 30 … 60

Passenger counting Electronic counting (EC) ap. 15 % of all buses, trams and undergrounds are equipped with automatic passenger counting units (people getting on and off) Data from every stop 24/7 (de-)boarding passengers Different extrapolations Manual counting (MC) 8 people, esp. for „lines operated by subcontractors“

The way to a new timetable Conception of new intervals based on the defined interval principles and determined data base Timetable designed. The intervals and operating times checked and new timetable released. Special departement plays the role as an internal purchaser. The operating divisions have to use the predetermined timetables

Key issues for the future network Analysis needs of investments in public transport infrastructure oriented on the needs of customers, efficiency, environmental friendliness and high quality Data included Generation of traffic Distribution of traffic Urban development plan Development of population Development of workplaces Expansion of short-term parking zones

Future network public transport

Big data projects

Multi-Modal Solutions for Vienna Wien Mobil 2.0 – multimodal Mobility for Vienna qando Forschungsprojekt smile Wien Mobil 2.0 The „Öffi-App“: mobile information service for public transport in Vienna since 2009 Around 350.000 clicks per day Continous enhancement e.g. inclusion of city-bikes An integrated mobility assistant for all means of public transport: information, booking and payment More than 1.000 pilot users Basis for implementation Multimodal mobility for Vienna Information, routing, booking and payment Started on 8th June 2017 Multi-Modal Solutions for Vienna Enhancement of public transport which serves as backbone of Vienna‘s mobility

Wien Mobil 2.0 - Visuals Mobility close to you Routing Payment

Generating Big Data Users can provide position data to improve public transport services Anonymous data can be used for analysis

Use case Position data and additional information (age in categories, routings, bookings, weather, etc.) different situations can be simulated Description of traffic flows Simulation of disturbances Simulation of changed behavior due to disturbances Future developement of traffic flows

Big Data use for infrastructure – Rail Shock Recording 1. Problem 2. Measuring 3. Analysis 4. Locate 5. Remedy 6. Satisfied Costumers

Rail Shock Recording Recording with mobile Mobile vs. traditional measurement devices

Forecast Model Input Rail Measurement Data Year of Construction Passenger Load Vehicle Load Geometry of Track

Forecast Model outcome 2.76 percent on average Increase Rate of Rail Mainteneance and Renewals Hold Investment Backlog

Autonomous driving – mobility as a service auto.ATLAS-Wien Analysis of use-cases, policy measures and effects for the transport system auto.Shuttle additional flexible shuttles in less densely populated areas Important information for future services On demand-use auto.Bus Testing autonomous buses in a limited area

Autonomous driving: auto.Bus Enhancement of functions Interaction with costumers Interaction within traffic Operational accompaniment and effects analysis

Wiener Stadtwerke Holding Dr. Gabriele Domschitz Managing Director Thomas-Klestil-Platz 14, 1030 Vienna Gabriele.Domschitz@wienerstadtwerke.at