Traffic Optimization Through Fluid Dynamics
Ansh Pathak - 2026 - Pending
Applies principles of fluid mechanics to model traffic patterns and deliver driving recommendations that dissipate congestion faster. Traffic is treated as fluid flow using computational fluid dynamics and Navier-Stokes-based modeling to identify bottlenecks and predict congestion waves in real time. Adaptive speed guidance is calculated so collective driver behavior can reduce stop-and-go patterns, improve average flow speeds, and lower fuel consumption-with research indicating substantial jam reduction and meaningful speed improvements at modest connected-vehicle penetration rates.
- 42% - Published jam-reduction benchmark targeted
- 5.2 - km/h flow-speed gain · published benchmark
- CFD - Navier–Stokes traffic modeling