Enabling Non-Lane-Based Cycling Behavior for Mass Bicycle Traffic Flow Simulation in SUMO

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" summary

Implements a hexagon representation for each bicycle so gap calculations and longitudinal dynamics produce a staggered queue formation instead of single-file lanes; lateral actions use a decision layer that checks available width and computes overtaking feasibility, then verifies moves with future-position prediction within a time‑to‑collision horizon to avoid encroachment. Model integrates into SUMO via sublane change and set‑speed calls, adds reaction‑time and decision‑frequency parameters, and is validated against drone‑collected trajectory data and intersection capacity tests.

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" chapters (12)

1. 0:00Bicycle simulation in SUMO
2. 1:48Mass bicycle flow simulation
3. 3:15Existing bicycle models limits
4. 5:20Non-lane-based cycling model
5. 8:28Overtaking and collision checks
6. 10:14Traffic signals in flow
7. 11:39Human factors in model
8. 13:04Integration with SUMO sublane
9. 13:56Demo: staggered bicycle queues
10. 15:01Network-level flow goals
11. 15:43Bicycle trajectory data
12. 17:28Open data and API