Flow: A Modular Learning Framework for Mixed Autonomy Traffic

A Kinematic Wave Traffic Flow Model for Mixed Traffic

In this paper we extend the Lighthill-Whitham-Richards kinematic wave traffic flow model to describe traffic with different types of vehicles, where all types of vehicles are completely mixed and travel at the same group velocity. A study of such a model with two vehicle classes (e.g., passenger cars and trucks) shows that, when both classes of traffic have identical free-flow speeds, the model...

A Modular Middleware Flow Scheduling Framework *

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A cellular automata framework for studying expandable traffic flow models

The introduction of methods from statistical physics for traffic flow modelling, such as cellular automata models, enabled the faster than real time simulation of large traffic networks. A key issue faced by such efforts is the expandability of the network model. This paper discusses the development of a cellular automata framework for micro-simulation of vehicle traffic flow in road networks a...

A Framework for Stochastic Air Traffic Flow Modeling and Analysis

A framework for stochastic traffic flow modeling over the U. S. National airspace based on queuing network models is advanced. The proposed framework allows the inclusion of a wide variety of trajectory uncertainties such as delays due to weather deviation, air traffic control actions, en route wind, aircraft performance, navigation system precision and flight control. En route queuing networks...

GAMLS: A Generalized framework for Asso iative Modular Learning Systems