1. Simulation Results: A Closer Look I.e., Analysis, Validation, Visualization

2. 2 Learning Objectives Creating and analyzing traffic count comparisons Getting a rough idea of further analysis measures and validation problems Using the On-The-Fly-Visualizer (OTFVis)

3. 3 Now! Start download of –wuIST.mvi and –wuWU.mvi (> 60 MB, each) –(zurich-switzerland.xml) @ http://www.matsim.org/node/412http://www.matsim.org/node/412 → Exercises → Exercise 1 and (2)

4. 4 Traffic Counts Average hourly volumes of avg. working day Future: Median, Variance, Max, Min (n days)

5. 5 Traffic Counts: Formats - KML

6. 6 Traffic Counts: Formats –TXT, HTML

7. 7 Traffic Counts: Parameters Config file … mandatory: optional: 0 " /> = 0" />

8. 8 Traffic Counts: Parameters  Swisstopo

9. 9 Traffic Counts: Ex Post Creation Restraining the area of analysis Take playground.anhorni.kti.CountsAnalyser or playground.dgrether.analysis. CountsAnalyser as an example (will be implemented in the core soon) linkstats.txt → counts

10. 10 Traffic Counts Creation: Example CH Raw count data ASTRA, cantons, cities Filtering DIDO Public Holidays Summer Holidys Outliers Averaging per station Map Mapping Stations → Links NAVTEQ TELEATLAS ARE … xml schema counts_v1.xsd http://matsim.org/files/dtd/counts_v1.xsd counts.xml Parser/Writer Conversion TXT → XML

11. 11 Further Analysis / Validation Measures Swiss Microcensus –Trip length and duration distributions –Modal Split Spiders Volumes Route switchers

12. 12 Validation Issues Lack of Validation Data and System Specification –Level of aggregation (analysis and modeling) (e.g. count data vs. avg. trip length, route switcher analysis etc.) –MS = Sampling tool → Ensemble runs → confidence intervals etc. (computational costs!) Future Measures –Travel speeds (underestimation: junction dynamics, non- linearities?) –Facility loads (e.g., retailer consumer cards) A lot of interesting future work!

13. 13 Visualizers OTFVis Java + OpenGL MATVis Replay C++

14. 14 OTFVis: Live Mode config Interactive queries in the live mode

15. 15 OTFVis: Playback Mode mvi file events file + network file

16. 16 OTFVis: Playback Mode Queries in the playback mode Written in C++ Events not compatible mit Java Mobsim MATVis Replay (Daumenkinos) Interactive queries in the live mode large scale simulations: time and memory consuming Room for participation

17. 17 Exercises – OTFVis: Westumfahrung 1.WU: Bypass Zurich → M. Balmer (15:30)

18. 18 Exercises - OTFVis 1.Building the bypass (WU) has made worse a prominent bottleneck in the region of Zurich. Try to locate it by using the OTFVis. It is best visible between ~ 7:15 and 9:00. It is not visible very clearily in our results, but … Hint:

19. 19 Exercises – OTFVis Comparing 2 WU (Westumfahrung) scenarios Scenario 1: actual state (base case) => convert events.run365.it150.txt.gz → wuIST.mvi 60 Scenario 2: with bypass (Westumfahrung) => convert events.run370.it220.txt.gz → wuWU.mvi 60

20. 20 Exercises - OTFVis Comparing 2 scenarios with OTFVis

21. 21 Exercises – Google Earth 2. a) Using Google Earth with 100.countscompare.kmz look at the count stations in the south of Switzerland (Tessin, e.g., Lugano, Mendrisio). b) Look at the count stations in the center of Zurich (e.g.,Rosengartenstrasse, Nordring) c) What is the difference? What is the problem in question a)

22. 22 Exercises – Counts Configuration & OTFVis Config file <param name= „… 3. Configure a ZH simulation based on zurich-switzerland.xml such that counts are plotted only within a restricted area: center = Bellevue and radius = 10 km. I.e.; inspect network by OTFVis and define distanceFilterCenterNode in the count section of the config file.

23. 23 Exercises – „Solution 1“ e.g. 07:13 base casew/ bypass

24. 24 Exercises – „Solution 1“ base casew/ bypass e.g. 08:27

25. 25 Exercises – „Solution“ 2 2. a) e.g., Mendrisio

26. 26 Exercises – „Solution“ 2 2. b) e.g., Rosengartenstrasse

27. 27 Exercises – „Solution“ 2 2. c) Boundary of modeling area → Task nbr 3!

28. 28 Exercises – „Solution“ 3 network.xml