Modeling of Freeway Traffic

Traffic Condition Detection in Freeway by using Autocorrelation of Density and Flow

Traffic conditions vary over time, and therefore, traffic behavior should be modeled as a stochastic process. In this study, a probabilistic approach utilizing Autocorrelation is proposed to model the stochastic variation of traffic conditions, and subsequently, predict the traffic conditions. Using autocorrelation of the time series samples of density and flow which are collected from segments...

Modeling Driver Behavior During Merge Maneuvers

Methodologies for modeling ramp driver acceleration-deceleration and gap acceptance behavior during freeway merge maneuvers are presented. This study serves an important purpose by pointing to the limitations of current freeway merge models which treat the ramp driver acceleration-deceleration and gap acceptance behavior as deterministic phenomena. In addition, the interdependence of freeway me...

A Real-Time Traffic Simulation System

This article studies the usefulness of parallel processing in real-time traffic-flow simulation based on continuum modeling of traffic dynamics. Computational fluid dynamics (CFD’s) methods for solving simple macroscopic traffic-flow continuum models have been studied and efficiently implemented in traffic simulation codes (on serial computers) in the past. We designed a traffic-flow simulation...

Modeling, simulation, analysis and control of freeway traffic corridors

Estimate Traffic with Combined Neural Network Approach

Many operating agencies are currently developing computerized freeway traffic management systems to support traffic operations as part of the Intelligent Transportation System (ITS) user service improvements. This study illustrates the importance of using simplified data analysis and presents a promising approach for improving demand prediction and traffic data modeling to support pro-active tr...