Control of Freeway Traffic Flow

Freeway Traffic Management and Control

Traffic Flow on a Freeway Network

Traffic congestion is an unpleasant fact of modern life. Although difficult to quantify precisely, congestion must cost Californians millions of dollars per day. Since further extensive construction of freeways is unlikely, information technology is being increasingly looked to for amelioration by providing information allowing more efficient use of existing freeways. Statistics plays a major r...

A macroscopic traffic flow model for integrated control of freeway and urban traffic networks

We develop a macroscopic model for mixed urban and freeway traffic networks that is particularly suited for control purposes. In particular, we use an extended version of the METANET traffic flow model to describe the evolution of the traffic flows in the freeway part of the network. For the urban network we propose a new model that is based on the Kashani model. Furthermore, we also describe t...

Simulation, Dynamics and Control of Freeway Traffic

This paper presents the Simulator of Intelligent Transportation Systems (SITS).The SITS is based on a microscopic simulation approach to reproduce real traffic conditions in an urban or non-urban network considering different types of vehicles, drivers and roads. A dynamical analysis of several traffic phenomena, applying a new modelling formalism based on the embedding of statistics and Fourie...

Microsimulations of Freeway Traffic Including Control Measures

Using a recently developed microscopic traffic model, we simulate how speed limits, on-ramp controls, and vehicle-based driver-assistance systems influence freeway traffic. We present results for a section of the German Autobahn A8-East. Both, a speed limit and an on-ramp control could considerably reduce the severeness of the originally observed and simulated congestion. Introducing 20% vehicl...