a. horni and k.w. axhausen ivt, eth zürich gridlock modeling with matsim
TRANSCRIPT
![Page 1: A. Horni and K.W. Axhausen IVT, ETH Zürich GRIDLOCK MODELING WITH MATSIM](https://reader035.vdocuments.us/reader035/viewer/2022070400/56649f145503460f94c289d3/html5/thumbnails/1.jpg)
![Page 2: A. Horni and K.W. Axhausen IVT, ETH Zürich GRIDLOCK MODELING WITH MATSIM](https://reader035.vdocuments.us/reader035/viewer/2022070400/56649f145503460f94c289d3/html5/thumbnails/2.jpg)
A. Horni and K.W. Axhausen IVT, ETH Zürich
GRIDLOCK MODELING WITH MATSIM
![Page 3: A. Horni and K.W. Axhausen IVT, ETH Zürich GRIDLOCK MODELING WITH MATSIM](https://reader035.vdocuments.us/reader035/viewer/2022070400/56649f145503460f94c289d3/html5/thumbnails/3.jpg)
MOTIVATION
• gridlocks only roughly covered in current version of microsimulationse.g., MATSim models average working day traffic
+
• relevance/risk of gridlocks (?)
![Page 4: A. Horni and K.W. Axhausen IVT, ETH Zürich GRIDLOCK MODELING WITH MATSIM](https://reader035.vdocuments.us/reader035/viewer/2022070400/56649f145503460f94c289d3/html5/thumbnails/4.jpg)
• context: joint seed project VPFW ETH
• analyze “gridlock” events (Zürich 2013, Aargau 2014)
• MATSim simulation experiments- network level- impedance components (e.g., look at intersections)
• extend solid base of gridlock modeling for aggregate transport modelinge.g., gridlocks and network-level MFDs (Geroliminis,
Daganzo, …)- microsimulation modeling- gridlock characteristics
PROCEEDING
![Page 5: A. Horni and K.W. Axhausen IVT, ETH Zürich GRIDLOCK MODELING WITH MATSIM](https://reader035.vdocuments.us/reader035/viewer/2022070400/56649f145503460f94c289d3/html5/thumbnails/5.jpg)
METHOD• MATSim simulation experiments
outputoutput
executionexecution
replanningreplanning
scoringscoring
inputinput
planplanplanplan
planplan
planplan
planplan utils
![Page 6: A. Horni and K.W. Axhausen IVT, ETH Zürich GRIDLOCK MODELING WITH MATSIM](https://reader035.vdocuments.us/reader035/viewer/2022070400/56649f145503460f94c289d3/html5/thumbnails/6.jpg)
METHOD• Zürich scenario
- full population- navigation net- car mode simulated
• simulation configuration- relaxed state normal conditions- tunnels blockage due to truck accident 17.04.2013
15:30- within-day rerouting with increasing replanning range
• analysis based on city count data to begin with- 10. / 16. / 17. / 18. / 25. of April 2013
![Page 7: A. Horni and K.W. Axhausen IVT, ETH Zürich GRIDLOCK MODELING WITH MATSIM](https://reader035.vdocuments.us/reader035/viewer/2022070400/56649f145503460f94c289d3/html5/thumbnails/7.jpg)
RESULTS• link storage capacity, a.k.a.
jam densitynormal state
blocked state
![Page 8: A. Horni and K.W. Axhausen IVT, ETH Zürich GRIDLOCK MODELING WITH MATSIM](https://reader035.vdocuments.us/reader035/viewer/2022070400/56649f145503460f94c289d3/html5/thumbnails/8.jpg)
RESULTS• link storage capacity, a.k.a. jam density
![Page 9: A. Horni and K.W. Axhausen IVT, ETH Zürich GRIDLOCK MODELING WITH MATSIM](https://reader035.vdocuments.us/reader035/viewer/2022070400/56649f145503460f94c289d3/html5/thumbnails/9.jpg)
RESULTS
![Page 10: A. Horni and K.W. Axhausen IVT, ETH Zürich GRIDLOCK MODELING WITH MATSIM](https://reader035.vdocuments.us/reader035/viewer/2022070400/56649f145503460f94c289d3/html5/thumbnails/10.jpg)
RESULTS• link storage capacity, a.k.a. jam density
![Page 11: A. Horni and K.W. Axhausen IVT, ETH Zürich GRIDLOCK MODELING WITH MATSIM](https://reader035.vdocuments.us/reader035/viewer/2022070400/56649f145503460f94c289d3/html5/thumbnails/11.jpg)
RESULTS
![Page 12: A. Horni and K.W. Axhausen IVT, ETH Zürich GRIDLOCK MODELING WITH MATSIM](https://reader035.vdocuments.us/reader035/viewer/2022070400/56649f145503460f94c289d3/html5/thumbnails/12.jpg)
RESULTS
blocked state
simcounts
![Page 13: A. Horni and K.W. Axhausen IVT, ETH Zürich GRIDLOCK MODELING WITH MATSIM](https://reader035.vdocuments.us/reader035/viewer/2022070400/56649f145503460f94c289d3/html5/thumbnails/13.jpg)
RESULTS
Bucheggplatz morning rush hour
![Page 14: A. Horni and K.W. Axhausen IVT, ETH Zürich GRIDLOCK MODELING WITH MATSIM](https://reader035.vdocuments.us/reader035/viewer/2022070400/56649f145503460f94c289d3/html5/thumbnails/14.jpg)
RESULTS• impedance modeling: missing components
- intersection dynamics: signals, priority rules, …- mode interactions: crosswalks, lane merging, …- driver behavior: slow drivers, driveaway delays, parking searchers, …- road geometry
• network modeling & its influence on the simulation dynamics
![Page 15: A. Horni and K.W. Axhausen IVT, ETH Zürich GRIDLOCK MODELING WITH MATSIM](https://reader035.vdocuments.us/reader035/viewer/2022070400/56649f145503460f94c289d3/html5/thumbnails/15.jpg)
RESULTSissues with link storage capacity, … jam density
![Page 16: A. Horni and K.W. Axhausen IVT, ETH Zürich GRIDLOCK MODELING WITH MATSIM](https://reader035.vdocuments.us/reader035/viewer/2022070400/56649f145503460f94c289d3/html5/thumbnails/16.jpg)
CONCLUSIONS & FUTURE WORK• inspection
- microsimulation (MATSim) capability to simulate gridlocks
- relevance/risk of gridlocks and concise definition- gridlock characteristics
• more and more suitable data- police department ZH, …
• other events- Aargau 2014- Zug 2011- Chur 2014
• impedance modeling issues- missing components, intersections- storage capacity