As a typical self-driven many-particle system far from equilibrium, traffic flow exhibits diverse fascinating non-equilibrium phenomena, most of which are closely related to traffic flow stability and specifically the growth/dissipation pattern of disturbances. However, the traffic theories have been controversial due to a lack of precise traffic data. We have studied traffic flow from a new pe...

The performance of many traffic control strategies depends on how much the traffic flow models are accurately calibrated. One of the most applicable traffic flow model in traffic control and management is LWR or METANET model. Practically, key parameters in LWR model, including free flow speed and critical density, are parameterized using flow and speed measurements gathered by inductive loop d...

probabilities (4–7 ), commonly using (stochastic) queuing analysis and nucleation models. These modeling approaches are thoroughly discussed elsewhere (7 ). Here, use is proposed of a coupled set of partial differential equations describing both the traffic dynamics [using the first-order model of Lighthill and Witham (2) and Richards (3)] and the dynamics of the phase-transition probabilities....

For the purpose of discovering security flaws in software, many dynamic and static taint analyzing techniques have been proposed. By analyzing information flow at runtime, dynamic taint analysis can precisely find security flaws of software. However, on one hand, it suffers from substantial runtime overhead and is incapable of discovering the potential threats. On the other hand, static taint a...

This paper presents an intelligent traffic light control method based on extension neural network (ENN) theory for crossroads. First, the number of passing vehicles and passing time of one vehicle within green light time period are measured in the main-line and sub-line of a selected crossroad. Then, the measured data are adopted to construct an estimation method based on ENN for recognizing th...

The modelling of traffic flow using methods and models from physics has a long history. In recent years especially cellular automata models have allowed for large-scale simulations of large traffic networks faster than real time. On the other hand, these systems are interesting for physicists since they allow to observe genuine nonequilibrium effects. Here the current status of cellular automat...

We study the traffic flow on a highway with ramps through numerical simulations of a hydrodynamic traffic flow model. It is found that the presence of the external vehicle flux through ramps generates a new state of “recurring humps” (RH). This novel dynamic state is characterized by temporal oscillations of the vehicle density and velocity which are localized near ramps, and found to be the or...

Intelligent control in road traffic intersections can be an alternative to a conventional control where duration of each signal phase is predetermined. In this article fuzzy logic approach for traffic signals control is considered and applied for an isolated intersection. Number of vehicles in each lane is measured with loop detectors. At the end of each phase these numbers are used as inputs t...