Intelligent Transportation Systems

Longitudinal Control- Phase 1

Chang, Kwang Soo
1995

The objective of the project is to assess the feasibility of vehicle-follower control withhigh accuracy and good ride quality, using a Doppler radar as the primary sensor (SeeAppendix A.1 - A.3).

Organizing For ITS: Computer Integration Transportation Phase 1: Results For Arterial And Highway Transportation Management Centers

Hall, Randolph W.
Lo, Hong K.
Minge, Erik
1994

The objective of this study is to evaluate alternative frameworks for Computer Integrated Transportation (CIT) from an institutional perspective. This was accomplished through site visits and interviews at existing Transportation Management Centers (TMCs), along with focus group sessions in which strategies for CIT were presented to TMC managers and staff for their comments and discussion. The study found that four factors: 1) time-frame, 2) linking information to actions, 3) broadcast orientation, and 4) embracement of new technologies have profound implications for Intelligent...

Brake System Modeling, Control And Integrated Brake/throttle Switching Phase I

Hedrick, Karl
Gerdes, J.C.
Maciuca, D.B.
Swaroop, D.
1997

This report is concerned with the modeling and control issues regarding braking in an Intelligent Transportation Systems (ITS) setting. Specifically, it addresses the issue of vehicle control in an automated highway system, brake actuation and coordinated brake and throttle switching. It first presents a hydraulic model of the brake system. A method for designing stable controllers for uncertain, mismatched nonlinear system is then described. A method to estimate the coefficient between the brake pressure at the wheel and the brake torque is presented. The next section describes a...

Loop Detector Data Collection and Travel Time Measurement in the Berkeley Highway Laboratory

May, Adolf D.
Cayford, Randall
Coifman, Ben
Merritt, Greg
2003

This document is the final report for the 2001-2002 Berkeley Highway Laboratory (BHL) Project which is a part of the University of California's PATH program and supported by the California Department of Transportation (Catrans). The primary objective of this project has been to maintain, improve, and conduct research on the Berkeley Highway Laboratory (BHL) detector system. This report contains ten chapters that describe the work undertaken and the results of each task of the project. The first chapter introduces the project, provides a project background, and a site description. The next...

Summary of Observations on July 1993 Study Tour to Japan

Orne, Donald E.
Shladover, Steven E.
1993

The purpose of this report is to document some lessons learned during the July 3-16, 1993 tour of Japan and Intelligent Vehicles ’93 Symposium attendance by PATH Director Donald E. Orne and Deputy Director/AVCS Program Manager Steven E. Shladover.The tour was arranged by PATH through Japanese contacts to coincide with the Intelligent Vehicles ’93 conference. Most of the contacts were known to PATH either from introductions at various conferences or by visits to PATH offices.Special attention was given by Orne and Shladover to consider the extent to which interaction with government,...

Research And Testing For Its Deployment And Operation

Weissenberger, Stein
Dahlgren, Joy
Hickman, Mark
Lo, Hong
1996

In this paper, the authors, although agreeing that deployment is the ultimate goal of Intelligent Transportation Systems (ITS) research and funding, believe that there is not sufficient knowledge of how, why and when to deploy specific ITS functions They contend that continued research and testing (R &T) is still necessary to assure effective future deployment. The article identifies critical needs for R & T and is based to a large degree on the authors' experience in the California PATH research program.

BTS (Version 1 .1) - Bottleneck Traffic Simulator User’s Manual

Lin, Wei Hua
Hall, Randolph W.
1991

BTS can be used to evaluate a variety of changes in highway design to improve bottlenecks, such as: (1) addition of highway lanes, (2) addition of automated or HOV lanes, or (3) incident management strategies to reduce the frequency, duration and magnitude of incidents. BTS can also be used to project future highway conditions as baselevel traffic grows or driver behavior changes.The new version of BTS was enhanced to include incident dependencies, variable weather conditions, reneging, and randomly varying traffic volumes. As of yet, BTS is not capable of analyzing highway performance on...

The Role of Teamwork in a Planning Methodology for Intelligent Transportation Systems: Volume 1

Kanafani, Adib
Manheim, Marvin L.
Khattak, Asad
Vlahos, Nicholas J.
1994

In this research we propose a framework for a transportation planning methodology that recognizes the key role that teamwork plays in the decision-making process. We recognize that the transportation planning process has evolved for many reasons, and develop a cohesive framework for providing intelligent decision support to teams deliberating planning problems. The design methodology considers both user and functional issues in building a matrix of building block functions (BBFs) to support a particular planning process. We illustrate the design methodology by using as an example a recent...

Evaluation Methodologies for ITS Applications

Gillen, David
Li, Jianling
1999

California’s Transportation Plan [CTP] was designed to set the course for the future of transportation in California.’ At the heart of the plan are three comprehensive policies; promoting the economic vitality of California by assuring mobility and access for people, goods, services and information, provide safe, convenient and reliable transportation and, provide environmental protection and energy efficiency. The Caltrans Strategic Plan in keeping with the CTP creates a vision of a balanced, integrated multimodal transportation network to move people, goods, services and information...

User's Manual for Transit ITS Simulator (TRAN-ITS)

Dessouky, Maged
Zhang, Lei
Singh, Ajay
Hall, Randolph
1999

This report describes a simulation model developed to evaluate the impact of using Intelligent Transportation Systems (ITS), such as Global Positioning Systems (GPS) for bus tracking, on controlling buses in wide-area transit networks. Control strategies with ITS will be compared against those without ITS (i.e., they do not rely on communication or tracking). The model is developed using a general-purpose simulation language, AweSim (Pritsker, 1997). The simulation model is generic and independent of any dedicated transit network. The model has high flexibility and can be used to simulate...