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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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      <title>THE FORECAST OF DYNAMIC TRAFFIC FLOW</title>
      <link>https://trid.trb.org/View/693998</link>
      <description><![CDATA[In this paper, the authors present a fuzzy neural network model which can be applied in forecasting the volume of dynamic traffic flows. After reviewing the state-of-the-art of dynamic traffic flow forecasting, the authors then discuss main the techniques involved in fuzzy neural networks and how these can be applied to dynamic traffic flow forecasting.  The collection of traffic flow information, along with the theory of the forecasting model, are also discussed.]]></description>
      <pubDate>Wed, 31 Oct 2001 00:00:00 GMT</pubDate>
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      <title>AN APPROACH TO DYNAMIC ROUTE TRAVEL TIME FORECAST ON URBAN EXPRESSWAY NETWORK</title>
      <link>https://trid.trb.org/View/693999</link>
      <description><![CDATA[In this paper, the authors propose a dynamic traffic flow and route travel time forecast technique for an urban express network.  The technique uses a state space model and an auto-regressive model and makes the dynamic forecasts on the basis of observed traffic flow in a time series.  The state space model and the auto-regressive model are first established, using the observed traffic flow. The models are then used to forecast traffic flow and route travel time.  The forecast results are presented and assessed.]]></description>
      <pubDate>Wed, 31 Oct 2001 00:00:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/693999</guid>
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      <title>A TRAVEL TIME ESTIMATION MODEL FOR ROUTE GUIDANCE SYSTEMS</title>
      <link>https://trid.trb.org/View/694000</link>
      <description><![CDATA[This paper first presents an analysis of travel time estimation methods.  This is followed by focusing on a real-time isoparametric ration travel time prediction model that is based on Kalman filtering theory.  The model is able to predict travel time by using detected traffic volume on the basic link in urban transportation networks. Test results show that the model has no lagged prediction and no oscillatory forecasting patterns.]]></description>
      <pubDate>Wed, 31 Oct 2001 00:00:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/694000</guid>
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      <title>FEEDBACK ROUTING CONTROL STRATEGIES FOR FREEWAY NETWORKS : A COMPARATIVE STUDY</title>
      <link>https://trid.trb.org/View/694001</link>
      <description><![CDATA[This paper examines the performance of various feedback routing regulators for freeway networks under different scenarios of disturbances and uncertainties.  Some of the factors examined include compliance rate, demands, control interval length, and incidents. Simulation results suggest that feedback routing controllers that are based on the real-time measurement of instantaneous travel times can efficiently equalize experienced travel times along the alternative routes within the network.  It was also found that the feedback routing controllers performed robustly in many perturbed situations.]]></description>
      <pubDate>Wed, 31 Oct 2001 00:00:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/694001</guid>
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      <title>TRAFFIC STREAM MODELS AND CAPACITY ANALYSIS OF AHS</title>
      <link>https://trid.trb.org/View/694002</link>
      <description><![CDATA[In this paper, the author examines the relationships between traffic flows, travel speed, and density under the setting of an Automated Highway System (AHS).  Using mathematical models, it is shown that traffic flow will increase monotonically as travel speed increases. This suggests that there is not necessarily a trade off between capacity and level of service during freeway operations.  The author concludes that the investment efficiency of the freeway would be therefore be significant.]]></description>
      <pubDate>Wed, 31 Oct 2001 00:00:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/694002</guid>
    </item>
    <item>
      <title>DATA COLLECTION ON EN ROUTE BEHAVIOUR UNDER ATIS</title>
      <link>https://trid.trb.org/View/694006</link>
      <description><![CDATA[This paper describes research which is studying how drivers behave when provided with information from advanced traveler information systems (ATIS).  Focus is on the importance of data covering complete itineraries of travel and measures of time pressure.  The paper describes the development of a new travel simulator designed for collecting appropriate data.  The simulated is then tested to model the driver's choice of whether or not to change the current itinerary.]]></description>
      <pubDate>Wed, 31 Oct 2001 00:00:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/694006</guid>
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      <title>ON THE CALIBRATION OF TRAFFIC MODELS FOR ATIS/ATMS APPLICATIONS</title>
      <link>https://trid.trb.org/View/694007</link>
      <description><![CDATA[This paper focuses on the need to calibrate traffic simulation models for advanced traveler information systems/advanced traffic management systems (ATIS/ATMS) real-time applications.  It also examines the various functions, variables, mathematical forms, and parameters that impact the overall model effectiveness and its state estimation accuracy.]]></description>
      <pubDate>Wed, 31 Oct 2001 00:00:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/694007</guid>
    </item>
    <item>
      <title>A SURVEY AND ANALYSIS METHOD TO EVALUATE INFLUENCE OF PRE-TRIP INFORMATION ON COMMUTER'S TRAVEL CHOICE BEHAVIOUR</title>
      <link>https://trid.trb.org/View/694008</link>
      <description><![CDATA[In this paper, the authors examine the influence of pre-trip information on commuters' travel choice behavior.  Stated preference experiments are used  to obtain choice data for departure time and travel mode from commuters.  A nested paired combinatorial logit (PC) model is used to describe individual choice behavior of continuous departure time in which pre-trip information has been provided.]]></description>
      <pubDate>Wed, 31 Oct 2001 00:00:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/694008</guid>
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    <item>
      <title>STRATEGIC PLANNING FOR INTELLIGENT TRANSPORTATION SYSTEMS IN CHINA</title>
      <link>https://trid.trb.org/View/694009</link>
      <description><![CDATA[This paper discusses strategic planning for Intelligent Transportation Systems (ITS) in China.  Focus is on the need for an architecture defining the interface and interaction between the component layers for urban and freeway transportation systems.]]></description>
      <pubDate>Wed, 31 Oct 2001 00:00:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/694009</guid>
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    <item>
      <title>A STRUCTURAL PROCESS TOWARD A SUSTAINABLE ITS DEPLOYMENT</title>
      <link>https://trid.trb.org/View/694010</link>
      <description><![CDATA[In this paper, the authors present a framework for the sustainable deployment of Intelligent Transportation Systems.  The framework identifies crucial areas needed for the successful deployment of ITS including short-term action plans as well as future deployment prospects, with focus on increasing traffic safety and decreasing environmental impacts.]]></description>
      <pubDate>Wed, 31 Oct 2001 00:00:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/694010</guid>
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      <title>A GENETIC ALGORITHM BASED ROUTING METHOD WITH GPS TECHNOLOGY FOR PUBLIC TRANSIT VEHICLES</title>
      <link>https://trid.trb.org/View/694011</link>
      <description><![CDATA[This paper examines the Transit Vehicle Routing Problem (TVRP) with time windows.  It presents a genetic algorithm based routing method for the problem that involves vehicles equipped with Global Positioning System (GPS) devices.  Preliminary results indicate effective performance of the algorithm.]]></description>
      <pubDate>Wed, 31 Oct 2001 00:00:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/694011</guid>
    </item>
    <item>
      <title>NETWORK EFFECTS OF VMS DURATION</title>
      <link>https://trid.trb.org/View/694012</link>
      <description><![CDATA[In this paper, the authors describe results obtained from modeling the effects of a number of traffic incidents and scenarios in which variable message signs (VMS) were used to deliver traffic information to drivers.  Results show that the benefits of on-line VMS messages varied significantly with the duration of the VMS, particularly in situations with varying incident severity and duration.]]></description>
      <pubDate>Wed, 31 Oct 2001 00:00:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/694012</guid>
    </item>
    <item>
      <title>TRAVEL BEHAVIOR DATA COLLECTED USING GPS AND PHS</title>
      <link>https://trid.trb.org/View/694013</link>
      <description><![CDATA[This paper describes how travel behavior data collection systems were developed using Global Positioning System (GPS), personal handyphone systems (PHS) (also known as cell phones), and geographic information systems (GIS).  It then examines the effectiveness of the data collected by these systems and their applicability to travel behavior surveys.]]></description>
      <pubDate>Wed, 31 Oct 2001 00:00:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/694013</guid>
    </item>
    <item>
      <title>DESIRES ON CHINESE INTELLIGENT RAILWAY SYSTEM</title>
      <link>https://trid.trb.org/View/694014</link>
      <description><![CDATA[This paper discusses on Intelligent Transportation Systems (ITS) as applied to railroad transportation, establishing a field known as Intelligent Railway Systems (IRS).  It focuses on the developments of ITS and research on the Chinese Intelligent Railway System (CIRS). The general framework of CIRS is discussed, including key techniques such as traffic control and automatic train control.]]></description>
      <pubDate>Wed, 31 Oct 2001 00:00:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/694014</guid>
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    <item>
      <title>IMPROVING BUS OPERATIONS USING ITS</title>
      <link>https://trid.trb.org/View/694015</link>
      <description><![CDATA[In this paper, the author presents some new examples of Intelligent Transportation Systems (ITS) applications to bus services.  Examples are given of applications in Europe, showing the effectiveness of the technologies.  Issues regarding implementation and operation are addressed, including the development of design guidelines for the systems.]]></description>
      <pubDate>Wed, 31 Oct 2001 00:00:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/694015</guid>
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