Incentives and Games in Large Scale Mobility

on YouTube ↗29m

" summary

Cellphone and GPS traces let origin destination inference replace slow surveys using convex programs that reconstruct the Hamilton‑Jacobi value function from sparse data, tested with 3s GPS at 2% sample density and validated against video ground truth. Public providers have up to 40% cell coverage and urban corridors like I‑10 operate with ~450 control assets, so routing apps add a fast feedback loop; simulations and a Nash‑Stackelberg model show ~20% app use can increase total delay and shift congestion onto neighborhoods.

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" chapters (6)

1. 0:00Start
2. 4:28Optimization and control Algorithms for traffic flow control and optimization Playbooks among scenarios
3. 4:38User interface Human in the loop for infrastructure control - Limited ability to actuate pre-planned scenarios (system-wide)
4. 9:28Results Algorithm produces distribution of flows along the different paths - Approach is data driven, dous not make (Nash, UE, Social Optimum, etc.)
5. 18:03The impact of traffic apps on system dynamics Fundamental promise of routing services
6. 24:43Example for 3 miles in Pasadena Impact of increased app use for through traffic - Immediate massive reroute through Pasadena (2 reroutes) Travel time in Pasadena increases by 17%

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