Traffic flow is a complex phenomenon that involves the interaction of drivers, vehicles, roads, signals, and other factors. To understand and optimize traffic flow, you need to model how drivers ...

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 ...

These source codes and series of files are coded for model "A new microscopic traffic-flow model based on the spatiotemporal continuous system concept considering nonlinear relations between human ...

Your traffic flow model should integrate data from various sources, including pedestrian counters and smart sensors, to refine its predictions.

This paper presents an advanced mixed traffic flow modeling solution utilizing deep learning and computer vision techniques integrated with digital mapping technologies. The proposed system employs ...

Arwa S. Sayegh, Richard D. Connors, James E. Tate, Uncertainty Propagation from the Cell Transmission Traffic Flow Model to Emission Predictions, Transportation Science, Vol. 52, No. 6 ...

Traffic congestion in urban areas is posing many challenges, and a traffic flow model that accurately predicts traffic conditions can be useful in responding to them. With the limitation of ...

Traffic flow modeling has shown that a roundabout would be a better fit for the Kristiine, or Taksopargi, intersection, replacing the current rather chaotic setup. It also recommends reorganizing ...

These source codes and series of files are coded for model "A new microscopic traffic-flow model based on the spatiotemporal continuous system concept considering nonlinear relations between human ...