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Impact of shared autonomous vehicles in microtransit: Atlanta case

US & West ·

The integration of shared autonomous vehicles (SAVs) into microtransit systems, which address the last-mile problem, is investigated. The Atlanta case study shows that SAVs can improve sustainability, convenience, and reliability compared to conventional fixed-route transit.

Why it matters

Modeling the impact of autonomous vehicles on urban mobility helps plan city-scale transportation systems.

Relevant to DT products

Original headline
The Impact of Shared Autonomous Vehicles in Microtransit Systems: A Case Study in Atlanta
Read the original: arXiv — Systems and Control (eess.SY)

Translation and summary are machine-generated from the source. The full article is not republished; its rights belong to the source.

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Adaptive Nonlinear MPC without Prior Training

A nonlinear adaptive predictive control method (NPCAC) is proposed that identifies a pseudo-linear model online from input-output data without prior training. It combines recursive least squares with information forgetting and iterative MPC, tested with polynomial, Fourier, and spline basis functions. The approach handles systems with high uncertainty.

arXiv — Systems and Control (eess.SY) ↗