PATH

Vehicles As Probes

Sanwal, Kumud K.
Walrand, Jean
1995

In this paper, the authors discuss the use of vehicles moving in traffic as probes that provide data for estimation and prediction of traffic behavior. The probe vehicles can report data on their speeds, locations, or travel times which can be used by an algorithm that updates estimates of traffic state and makes predictions for the future. The authors address some of the key issues involved in the design of such a traffic monitoring system.

Modernization of Center-to-Center Data Communication Standards: Gap Analysis Technical Memorandum

Peterson, Brian
2021

This document provides a gap analysis based on three previous technical memorandums delivered as part of this project, including a review of the Traffic Management Data Dictionary (TMDD) standard, a review of current and future transportation needs, and a review of the state of the art in technology and systems development. The intention of this document is to provide a review of this standard for transmission of data between traffic management centers (TMCs), with explicit commentary on usability of the standard with specific examples based on its implementation in the Caltrans I-210...

TravInfo Evaluation: Traveler Response Element Broad Area Study: Phase 2 Results Analysis of Wave-2 Survey

Yim, Y. B.
2001

TravInfo was a Field Operational Test (FOT) sponsored by the Federal Highway Administration (FHWA) and California Department of Transportation. It aimed to develop a multi-modal traveler information system for the San Francisco Bay Area, combining public and private sector talents. The Broad Area Study was part of the TravInfo FOT evaluation. It addressed issues on how travelers obtain traffic/transit information and how the information influences travel behavior. Two waves of telephone surveys of Bay Area households were conducted, one prior to and one after the Field Operational Test....

TravInfo Evaluation Plan: Update 1

Yim, Youngbin
Khattak, Asad
Miller, Mark
Hall, Randolph
Weissenberger, Stein
1994

TravInfo is a public/private partnership formed to provide wide-spread dissemination of real-time information on transportation conditions and travel options. A fundamental premise is that a public surveillance and database system, designed to open-architecture standards, will be an effective stimulus for private sector innovations in ATIS (Advanced Traveler Information Systems) technologies and, ultimately, their deployment.TravInfo is a Field Operational Test of a centralized database providing easy access to real-time travel information on all modes of transportation in the Bay Area....

Modeling The Behavior Of Traffic Information Providers

Malchow, M.
Kanafani, A.
Varaiya, P.
1997

This paper discusses two primary models which might be used to represent the locational behavior of traffic information providers. The characteristics which make traffic information unique as a service good are discussed and exploited in the models to show how the behavior of information providers might differ from that of firms in a traditional market. Questions are addressed regarding the clustering of competing providers and the efficiency of resulting output. The purpose of this paper is to contribute to a study regarding the future of the traffic information industry and the role of...

The Impact Of Intelligent Transportation Systems On Bus Driver Effectiveness

Bailey, Diane E.
Hall, Randolph
1997

This paper examines the potential for Intelligent Transportation Systems (ITS) to improve bus driver effectiveness. Analysis of data gathered reveals the unlikelihood of improvement of individual bus driver effectiveness measures. The authors determined that the most visible benefits were seen in the automatic processing of information related to transferring passengers and in the increased speed with which emergency and maintenance calls can be handled.

Visualizing Loop Detector Data

Zhang, Xiaoyan
Rice, John
1999

Over the years, many TMCs have accumulated large loop detector datasets due to the loops' extensive presence in existing infrastructure. However, the information in these data sets often lies dormant partly because of the lack of effective means to summarize and display it. We present a simple visualization technique developed for loop detector data which addresses this issue. The method uses color-encoded images to visualize loop detector measurements as a function of space and time. We use examples based on a field dataset to illustrate some of its possible applications.

Assessing The Benefits Of A National ITS Architecture

Hickman, M.
Weissenberger, S.
Dahlgren, J.
1996

This paper describes the results of an assessment of benefits from an Intelligent Transportation Systems (ITS) architecture, based on the National ITS Architecture Development program. Benefits of the architecture include those typically attributed to systems engineering and integration. The architecture provides a common framework so that, in planning and implementing systems, state and local agencies can be assured that ITS products and services are compatible and inter-operable with other ITS products and services. More directly, three beneficial features of the national architecture...

Modeling IVHSEmission Impacts. Volume 1: Background Issues And Modeling Capabilities

Guensler, Randall
Washington, Simon
Sperling, Daniel
1994

This paper examines the potential air quality impacts of Intelligent Vehicle Highway Systems (IVHS) upon important emission-producing vehicle activities and those parameters that affect emission rates. Important emission relationships are identified, a framework for comparative analysis is developed, and the general relationships between IVHS technology bundle characteristics and vehicle emission impacts are examined. The primary IVHS emission-related impacts that this project addresses are associated with changes in the average speed and operating mode (acceleration, deceleration, cruise...

A New Methodology for Evaluating Incident Detection Algorithms

Petty, Karl
Bickel, Peter J.
Kwon, Jaimyoung
Ostland, Michael
Rice, John
2000

We present a novel, off-line approach for evaluating incident detection algorithms. Previous evaluations have focused on determining the detection rate versus false alarm rate curve -- a process which we argue is inherently fraught with difficulties. Instead, we propose a cost-benefit analysis where cost mimics the real costs of implementing the algorithm and benefit is in terms of reduction in congestion. We argue that these quantities are of more practical interest than the traditional rates. Moreover, these costs, estimated on training data, can be used both as a mechanism to fine-tune...