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

2. Modal shift in Vienna

3. Urbanisation – growing Vienna
Population ( ): 1.87 Million people
Development by age groups
forecast

4. 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

5. 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

6. 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“

7. 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

8. 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

9. Future network public transport

10. Big data projects

11. 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 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 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

12. Wien Mobil Visuals
Mobility close to you
Routing
Payment

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

14. 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

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

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

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

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

19. 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

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

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