Results 31 to 40 of about 784,260 (281)
Traffic flow sensitivity to visco-elasticity
This letter reports traffic flow sensitivity to visco-elasticity, with the traffic flow modeling briefly described at first and then used to do traffic flow simulations whose results can reflect the properties of spatial–temporal evolution of ring ...
M.N. Smirnova +3 more
doaj +1 more source
The comfortable driving model revisited: Traffic phases and phase transitions
We study the spatiotemporal patterns resulting from different boundary conditions for a microscopic traffic model and contrast it with empirical results.
Knorr, Florian, Schreckenberg, Michael
core +1 more source
Traffic flow forecasting is useful for controlling traffic flow, traffic lights, and travel times. This study uses a multi-layer perceptron neural network and the mutual information (MI) technique to forecast traffic flow and compares the prediction ...
Seyed Hadi Hosseini +3 more
doaj +1 more source
Economics-Based Optimization of Unstable Flows
As an example for the optimization of unstable flows, we present an economics-based method for deciding the optimal rates at which vehicles are allowed to enter a highway.
B. A Huberman +6 more
core +1 more source
The Stability of downtown parking and traffic congestion [PDF]
In classical traffic flow theory, there are two velocities associated with a given level of traffic flow. Following Vickrey, economists have termed travel at the higher speed congested travel and at the lower speed hypercongested travel.
Arnott, Richard, İnci, Eren, Inci, Eren
core +11 more sources
Traffic network design by cellular automaton-based traffic simulator
Braess pointed out that adding a new road to overcome a traffic congestion could cause a new traffic congestion leading to the reduction of the traffic flow in the whole traffic network, which is called Braess' paradox.
Eisuke Kita +3 more
doaj +1 more source
Traffic flow at low densities (free traffic) is characterized by a quasi-one-dimensional relation between traffic flow and vehicle density, while no such fundamental diagram exists for `synchronized' congested traffic flow.
Banks +28 more
core +2 more sources
A Hybrid Deep Learning Framework for Long-Term Traffic Flow Prediction
An accurate and reliable traffic flow prediction is of great significance, especially the long-term traffic flow prediction e.g., 24 hours, which can help the traffic decision-makers formulate the future traffic management strategy.
Yiqun Li +3 more
doaj +1 more source
Deterministic approach to microscopic three-phase traffic theory
Two different deterministic microscopic traffic flow models, which are in the context of the Kerner's there-phase traffic theory, are introduced. In an acceleration time delay model (ATD-model), different time delays in driver acceleration associated ...
Bando M +31 more
core +1 more source
Abstract On the basis of the influence of dry season on ship traffic flow, the gathering and dissipating process of ship traffic flow was researched with Greenshields linear flow—density relationship model, the intrinsic relationship between the ship ...
Ting Liu, Gabriel Lodewijks
doaj +1 more source

