IEEE

Macroscopic Traffic Flow Control using Consensus Algorithms

Abstract: In previous researches, a new approach in the field of traffic flow control using consensus algorithms was studied by using microscopic traffic simulations and led to promising results.
IEEE

Network-Wide Traffic Flow Dynamics Prediction Leveraging Macroscopic Traffic Flow Model and Deep Neural Networks

Abstract: Obtaining future traffic state evolution information is critical to traffic control algorithms design and further to intelligent transportation systems. However, accurately predicting ...
JSTOR Daily

A MULTILANE MACROSCOPIC TRAFFIC FLOW MODEL FOR SIMPLE NETWORKS

This is a preview. Log in through your library . Abstract We prove the well-posedness of a system of balance laws inspired by [H. Holden and N. H. Risebro, SIAM J. Math. Anal., 51 (2019), pp.
JSTOR Daily

A 2-PHASE TRAFFIC MODEL BASED ON A SPEED BOUND

We extend the classical Lighthill-Whitham-Richards (LWR) traffic model allowing different maximal speeds for different vehicles. Then we add a uniform bound on the traffic speed. The result, presented ...
EurekAlert!

Bridging microscopic interactions and macroscopic traffic patterns: a novel approach to stochastic fundamental diagram modeling

Traffic congestion and its inherent stochasticity continue to challenge urban mobility worldwide. To address this, researchers have introduced a groundbreaking framework for modeling the Stochastic ...
Nature

Nonlocal Conservation Laws and Traffic Flow Models

Nonlocal conservation laws extend classical conservation principles by incorporating spatially distributed influences into flux functions. In the context of traffic flow models, such approaches ...