Machine learning framework for reduced-order modeling and control in fluid–structure interaction. This figure illustrates a machine learning framework that compresses high-dimensional fluid–structure ...
Traffic simulation is an effective tool for urban planners, traffic engineers, and researchers to study traffic. In particular, microscopic traffic simulation, which simulates individual vehicles’ ...
Abstract: This paper proposes an autonomous driving framework for unsignalized intersections. The framework consists of two modules: vehicle state inference and vehicle motion planning. A network ...
This repository provides a reference implementation for distributed, partitioned SUMO simulations with dynamic load balancing. It scales city-wide traffic simulations across multiple hosts to reduce ...
Abstract: In recent years, rapid urbanization has led to increased traffic congestion, rendering traditional traffic light control methods ineffective. Deep Reinforcement Learning (DRL) has emerged as ...
Interactive Chart for Global X U.S. Cash Flow Kings 100 ETF (FLOW), analyze all the data with a huge range of indicators.
The CommonRoad Scenario Factory is a toolbox that combines many different tools from the whole CommonRoad ecosystem to efficiently process CommonRoad scenarios. Its current main use case is the ...
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