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

Prediction of Traffic Flow Density and Velocity Based on Kalman Filter Fusion of The Non-Local Gas-Kinetic Model and Convolution Neural Networks-Long-Short Term Memory Model

Abstract: The integrated perception, planning, and control of intelligent transportation system has become a research hotspot in academia. In this context, the safe running of an intelligent vehicle ...
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.
Tech Xplore on MSN

Fast traffic algorithm could improve real-time traffic forecasts

In Chaos, researchers in Istanbul develop a more efficient and flexible algorithm to model traffic. The model, which they ...
Nature

Traffic Flow Modeling and Dynamics

Traffic flow modelling and dynamics are at the forefront of efforts to understand and optimise urban transport systems. The field integrates theoretical and computational approaches to depict and ...
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 ...