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    <title>Transport Research International Documentation (TRID)</title>
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    <copyright>Copyright © 2026. National Academy of Sciences. All rights reserved.</copyright>
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    <managingEditor>tris-trb@nas.edu (Bill McLeod)</managingEditor>
    <webMaster>tris-trb@nas.edu (Bill McLeod)</webMaster>
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      <title>Transport Research International Documentation (TRID)</title>
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      <link>https://trid.trb.org/</link>
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      <title>Experimenting with Real-Time ATIS: Stepping Forward from ADVANCE</title>
      <link>https://trid.trb.org/View/794645</link>
      <description><![CDATA[In the early 1990’s an in-vehicle navigation and route guidance project called ADVANCE was conducted in the northeastern suburbs of Chicago. It proved that travel time data could be updated on in-vehicle devices (albeit not in real-time) to assist drivers in choosing faster routes to their destinations. This past spring, about a decade later, a more progressive but similar 3-moonth field experiment was conducted in upstate New York. Nearly 200 participants used state-of-the-art, in-vehicle navigation and route guidance technology in conjunction with GPS tracking and broadband wireless to share travel time data and pick the shortest paths through a congested network. The route guidance devices observed travel times, uploaded them to a central server that updated a travel time database, and then downloaded every minute to each of the probe vehicles to ensure the latest travel time information was being used while enroute. The experiment resulted in a total of 4,111,210 latitude-longitude position/speed/time points. The largest number of location points per user was 98,018 while the smallest was 117; the average per user was just over 26,000 location points, or 325.5 points per trip. There were 12,629 probe trips for a traveled distance of 147,316 miles over a duration of 3,945.8 hours. This paper presents a discussion of the Capital District ATIS project including the parallels and differences with the ADVANCE effort. Areas covered are: travel time data, project background, description of the study data, participant statistics, experimental design, sample results, and a summary with future research directions.]]></description>
      <pubDate>Fri, 29 Dec 2006 11:07:37 GMT</pubDate>
      <guid>https://trid.trb.org/View/794645</guid>
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    <item>
      <title>COMPUTATIONAL STUDY OF STATE-OF-THE-ART PATH-BASED TRAFFIC ASSIGNMENT ALGORITHMS</title>
      <link>https://trid.trb.org/View/646529</link>
      <description><![CDATA[In this paper, the authors evaluate the performance of two path-based traffic assignment algorithms using realistically-sized networks. Sensitivity analysis is performed on randomly generated networks in order to examine the performance of the algorithms in regard to network size, congestion levels, the number of origin-destination (OD) pairs, and accuracy levels. The authors also describe how the Advanced Driver and Vehicle Advisory Navigation ConcEpt (ADVANCE) network is used to show that the path-based algorithms are effective.]]></description>
      <pubDate>Thu, 03 Jul 2003 00:00:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/646529</guid>
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    <item>
      <title>CHALLENGES IN FORMING PUBLIC-PRIVATE RELATIONSHIPS : THE ADVANCE PROJECT EXPERIENCE</title>
      <link>https://trid.trb.org/View/641012</link>
      <description><![CDATA[This paper covers the experiences of ADVANCE in structuring a public/ private Intelligent Vehicle Highway Systems (IVHS) operational test involving a large number of participants.  It includes a case study focusing on the efforts to develop a reasonable audit approach in compliance with state and federal laws, and in conformance with Motorola corporate policies.  The lessons learned from this experience are included and should provide guidance in dealing with similar institutional issues.]]></description>
      <pubDate>Sat, 17 Nov 2001 00:00:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/641012</guid>
    </item>
    <item>
      <title>USING A SCALABLE MODELING AND SIMULATION FRAMEWORK TO EVALUATE THE BENEFITS OF INTELLIGENT TRANSPORTATION SYSTEMS</title>
      <link>https://trid.trb.org/View/687726</link>
      <description><![CDATA[This article describes a scalable, distributed modeling and simulation framework that was developed to study Intelligent Transportation Systems (ITS).  It currently features the following set of models: road network and traffic flow, probe and smart vehicles, traffic management centers, communications between vehicles and centers, in- vehicle navigation systems, roadway traffic sensors, incident detection algorithms, and traffic advisories.  Results are presented from modeling scenarios from the ADVANCE experimental program.]]></description>
      <pubDate>Thu, 05 Jul 2001 00:00:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/687726</guid>
    </item>
    <item>
      <title>ADVANCE, ON THE WAY AHEAD</title>
      <link>https://trid.trb.org/View/641601</link>
      <description><![CDATA[This article gives an update of the ADVANCE Advanced Traveler Information System (ATIS) demonstration project in the northwestern suburbs of Chicago, Illinois.  Focus is on the four subsystems of the ADVANCE project: the Traffic Information Center (TIC), the Traffic Related Function (TRF), the Communications Subsystem (COM), and the Mobile Navigation Assistant.]]></description>
      <pubDate>Fri, 17 Nov 2000 00:00:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/641601</guid>
    </item>
    <item>
      <title>OPERATION OF THE ADVANCE TRAFFIC INFORMATION</title>
      <link>https://trid.trb.org/View/641703</link>
      <description><![CDATA[This paper covers the traffic-management portion of the ADVANCE project, and in particular, the operations of the traffic information center ( TIC).  The paper reviews the issues that have helped shape the TIC and continue to affect its operations.  Those issues that affect daily operations are emphasized.]]></description>
      <pubDate>Fri, 17 Nov 2000 00:00:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/641703</guid>
    </item>
    <item>
      <title>ADVANCE DEPLOYMENT</title>
      <link>https://trid.trb.org/View/641804</link>
      <description><![CDATA[This paper describes ADVANCE (Advanced Driver and Vehicle Advisory Navigation ConcEpt), an advanced traveler information systems (ATIS) project which has been deployed in the northwestern portions of Chicago and its suburbs.  The paper focuses on background information and on the development phase of the project.]]></description>
      <pubDate>Fri, 17 Nov 2000 00:00:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/641804</guid>
    </item>
    <item>
      <title>STATIC NETWORK EQUILIBRIUM MODELS AND ANALYSES FOR THE DESIGN OF DYNAMIC ROUTE GUIDANCE SYSTEMS</title>
      <link>https://trid.trb.org/View/637120</link>
      <description><![CDATA[This study considers issues related to the design and deployment of a Dynamic Route Guidance System (DRGS), a technology satisfying the operational characteristics of an Advanced Traveler Information System. The methodology used in the study is a comparative analysis of design issues studied in the framework of mathematical programming. Two modeling approaches are presented.  The first involves formulation of a route choice model which considers two classes of travelers guided and unguided, each with a different capability of perceiving network travel time.  The second procedure infers information regarding traveler choices from a conventional static user-optimal route choice model and uses that information to evaluate important design considerations.  Aggregate network performance measures are determined from model applications to a highway network representing the test area roadway system for ADVANCE, a DRGS demonstration project currently being designed in the Chicago area.]]></description>
      <pubDate>Fri, 17 Nov 2000 00:00:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/637120</guid>
    </item>
    <item>
      <title>AN UPDATE ON ADVANCE</title>
      <link>https://trid.trb.org/View/637190</link>
      <description><![CDATA[This paper presents an update on the ADVANCE project, an operational test of dynamic route guidance being conducted in Northeastern Illinois.]]></description>
      <pubDate>Fri, 17 Nov 2000 00:00:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/637190</guid>
    </item>
    <item>
      <title>STATIC NETWORK EQUILIBRIUM MODELS AND ANALYSES FOR THE DESIGN OF DYNAMIC ROUTE GUIDANCE SYSTEMS</title>
      <link>https://trid.trb.org/View/637320</link>
      <description><![CDATA[This study considers issues related to the design and deployment of a Dynamic Route Guidance System (DRGS).  The analyses presented seek to provide DRGS designers with information regarding the impact of design decisions and the effects of these decisions on the operating characteristics of system components.  The methodology used in this study is a comparative analysis of design issues studied in the framework of mathematical programming.  Two modeling approaches are presented.  The first involves formulation of a route choice model which considers two classes of travelers, guided and unguided, each with a different capability of perceiving network travel time.  The second procedure infers information regarding traveler choices from a conventional static user- optimal route choice model and uses that information to evaluate important design considerations.  Aggregate network performance measures are determined from model applications to a highway network representing the test area roadway system for ADVANCE, a DRGS demonstration project currently being designed in the Chicago metropolitan area.]]></description>
      <pubDate>Fri, 17 Nov 2000 00:00:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/637320</guid>
    </item>
    <item>
      <title>TRAVEL TIME DATA FUSION IN ADVANCE</title>
      <link>https://trid.trb.org/View/640323</link>
      <description><![CDATA[In the ADVANCE project ATIS (Advanced Traveler Information Systems) operational test, the fusion of equipped vehicle (probes) travel time reports, detector outputs, historical and other data is a crucial task in data processing. The ADVANCE implementation schedule dictates a three- stage development of the on-line data fusion algorithm: first a basic algorithm which would be able to deal with sparse probe reports; second, a simple but efficient algorithm able to utilize on- line probe travel time reporting and finally, an advanced method for dealing with oversaturated conditions.  The purpose of this paper is to discuss methodological aspects of data fusion design for signalized arterials, present the concept of the basic data fusion algorithm based on regression and Bayesian methods, and consider some issues in developing the advanced algorithm.]]></description>
      <pubDate>Fri, 17 Nov 2000 00:00:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/640323</guid>
    </item>
    <item>
      <title>A NEURAL NETWORK MODEL FOR DATA FUSION IN ADVANCE</title>
      <link>https://trid.trb.org/View/640408</link>
      <description><![CDATA[This paper describes the ability of a counterpropagation network to solve the data fusion problem in Intelligent Vehicle Highway Systems. The network is able to classify input traffic flow patterns and output current travel time estimates.]]></description>
      <pubDate>Fri, 17 Nov 2000 00:00:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/640408</guid>
    </item>
    <item>
      <title>ARTERIAL STREET INCIDENT DETECTION USING MULTIPLE DATA SOURCES : PLANS FOR ADVANCE</title>
      <link>https://trid.trb.org/View/640518</link>
      <description><![CDATA[This report describes a system that will identify non-recurring capacity reducing incidents on the ADVANCE highway network.  This system will use each of three separate incident detection algorithms to process information from several distinct real-time data sources. A data fusion process will then combine the output from these algorithms to make an overall assessment of traffic conditions on the network.  Initial plans for implementing the incident detection algorithms and the fusion process using rule based systems and a neural network are presented.]]></description>
      <pubDate>Fri, 17 Nov 2000 00:00:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/640518</guid>
    </item>
    <item>
      <title>DRIVER RECRUITABILITY FOR ADVANCED TRAVELER INFORMATION SYSTEM EXPERIMENTS</title>
      <link>https://trid.trb.org/View/640520</link>
      <description><![CDATA[This research presents a quantitative analysis of driver recruitability to aid in the design of recruitment procedures for the ADVANCE (Advanced Driver and Vehicle Advisory Navigation Concept) project.  The approach used a telephone survey to assess driver willingness and to explore variations in that willingness among different drivers and across characteristics of the ADVANCE system and experimental design. Willingness is greater for men, executives or managers, individuals who drive extensively, persons who use electronic devices such as personal computers and car phones regularly and people who have positive beliefs regarding the usefulness of the ADVANCE concept.  Willingness is not strongly affected by requirements such as surveys, mailing electronically stored records, and periodic service requirements.  Willingness decreases if drivers have to bear financial responsibility for damage to the navigation equipment and increases with financial incentives such as a lottery prize.]]></description>
      <pubDate>Fri, 17 Nov 2000 00:00:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/640520</guid>
    </item>
    <item>
      <title>ESTIMATION AND MEASUREMENT OF LINK TRAVEL TIMES IN THE ADVANCE PROJECT</title>
      <link>https://trid.trb.org/View/640585</link>
      <description><![CDATA[This paper describes the current status of the approach being taken in the ADVANCE project to estimate and measure link travel times in the Test Area.  A brief review of the representation of link profiles in the Mobile Navigation Assistant (MNA) installed in the test vehicles is presented, followed by a discussion of the estimation of initial static profiles ( link travel times) with a network flow model.  The paper concludes with a discussion of the estimation of link travel times from link flow-occupancy data.]]></description>
      <pubDate>Fri, 17 Nov 2000 00:00:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/640585</guid>
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