We study the problem of travel time estimation along a section of a freeway based on data derived from vehicle detectors at multiple locations. We pose the problem as one of pattern recognition. We derive algorithms that aim to recognize patterns which persist between the error-prone upstream...

This is the final report of the PATH research project "Bottleneck Evaluation Model." The goal of the project was to develop a computer tool for evaluating capacity and travel time benefits of PATH improvements. The Bottleneck Traffic Simulator (BTS) is used to investigate the time benefits of...

This study develops a model of a person's day activity schedule that can be used to forecast urban travel demand. It is motivated by the notion that travel outcomes are part of an activity scheduling decision, and uses discrete choice models to address the basic modeling problem-capturing...

Acceptance of ITS components that are designed to increase capacity will hinge on the extent to which additional capacity induces additional travel. This study addressed methodologies for studying the effects of capacity on travel: 1) before and after studies or travel times and volumes in...

This paper develops an improved algorithm for estimating velocity from isolated loop detector data. Unlike preceding works, the algorithm is simple enough that it can be implemented using existing controller hardware. The discussion shows how the benefits of this work extend to automated tests...

This final report describes an advanced traffic surveillance technique based on pattern recognition and the use of current inductive loop technology. The focus of the investigation was a study of the feasibility of using inductive loop signatures for obtaining vehicle classification information...

The focus of this project was to examine the potential travel, emissions, and consumer benefits of advanced freeway automation and travel demand management measures. The Sacramento Regional Travel Demand model (SACMET 95) was used to simulate the travel effects of travel demand management...

These last years, an increasingly significant number of traffic accidents caused by a malaise at the steering wheel was observed. The management of this kind of phenomenon is difficult and presents a real challenge. Given this fact, the authors try, in this paper, to propose a work which, thanks...