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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.
A GPU-based solver for trajectory planning problems using branch model predictive control is presented. The solver is based on iterative LQR, multiple-shooting formulation, and augmented Lagrangian method for constraint handling. Numerical experiments show superiority over a CPU-based solver on large-scale problems.
Researchers applied a hybrid discrete-event and agent-based simulation to analyze the transition to circular economy in healthcare supply chains. Using laparoscopic scissors as a case study, they assessed the impact of introducing reusable products on individual supply chain members and the entire system. The work accounts for uncertainties in flows and actor behavior, which was not done before.
An approach combining model predictive control (MPC) and an online genetic algorithm is proposed to estimate the unknown pendulum length in a flying inverted pendulum control problem. Experiments on a real setup confirmed the accuracy and robustness of the method under various initial conditions and disturbances.