1. MATSim’s Volume-Delay Relationship? 1 tt use deqsim Charypar? relation to BPR function? ?

2. Context: A Glimpse at Emergence in Agent-Based Simulations A. Horni and L. Montini, IVT, ETH Zürich ApplauSim (A Simulation of Synchronous Applause) MATSim

3. Motivation for Emergence Discussion “phantom traffic jams” Chowdhury et al. (2000) “one of the most seductive buzzwords of complexity science” MacKay (2008, p.T274) “when constructing agent systems, you should regard emergence as an important concept” … “you can try to “design in” the emergence that you want”. Odell (1998)

4. 4 Emergence and Non-Linearity Superposition principle invalid -> non-linear regimes First investigation: functional form of MATSim network load simulation

5. Flow-Density and Travel Time 5 density flow Diss Charypar deqsim demand tt ? ?

6. Flow-Density and Travel Time 6 density flow Diss Charypar deqsim relation to BPR function for traffic assignment:  usually between 5 and 11 tt flow

7. Evaluation of MATSim Network Load Simulation 7 standard mobsim (qsim) with or without param trafficDynamics =withHolesExperimental removeStuckVehicles

8. 8

9. 9 MATSimBPR standard mobsim storageCapacityFactor = 10.0 storageCapacityFactor = 1.0 -> log-like fcn storageCapacityFactor = flowCapacityFactor -> log-like fcn

10. 10 MATSimBPR standard mobsim storageCapacityFactor = 10.0 storageCapacityFactor = 1.0 storageCapacityFactor = flowCapacityFactor

11. Increase storage capacity density flow demand tt ?

12. No backtraveling gaps: Nurhan Sim density flow demand tt ?

13. 13 And Now? reproduce experiments back-traveling gaps (repeat experiment with deqsim) var(v) on links -> phantom traffic jams agent interactions in large networks & feedback -> non-linear in nature (Goldstein 1999)