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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>A DISCRETE EVENT MODEL FOR MONITORING AND CONTROLLING FREEWAYS</title>
      <link>https://trid.trb.org/View/495039</link>
      <description><![CDATA[This paper deals with the design of freeway traffic control systems. An innovative hybrid model is presented which is made up of two modeling levels.  The regular traffic conditions are represented by means of a macroscopic multiclass model, whereas the nonrecurrent situations are described in terms of discrete events.  The necessary synchronization mechanisms are sought for the overall model.  The control strategies designed are relevant to both the detection of perturbations in the traffic flow and the choice of the actions to perform to cope with the effects of the perturbations and guarantee flow regularity.]]></description>
      <pubDate>Wed, 17 Nov 1999 00:00:00 GMT</pubDate>
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      <title>FUZZY LOGIC AND GENETIC ALGORITHMS APPLIED TO THE LOGISTICAL AND ORGANISATIONAL ASPECTS OF CONTAINER ROAD TRANSPORTS</title>
      <link>https://trid.trb.org/View/495040</link>
      <description><![CDATA[This paper proposes an integrated application of fuzzy logic and genetic algorithm to develop an automatic planner for operations in the container transport sector.  Particular emphasis is placed on providing the user with an easy to understand explanation of the organizational logic used by the system to solve each specific problem.]]></description>
      <pubDate>Wed, 17 Nov 1999 00:00:00 GMT</pubDate>
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      <title>PARALLEL SIMULATION OF CITY TRAFFIC FLOWS USING PADSIM (PROBABILISTIC ADAPTIVE SIMULATION MODEL)</title>
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      <description><![CDATA[This paper introduced a new approach for parallel simulation based on the processing of probabilistic information associated with events and measurements in traffic systems.  The PADSIM model combines microsimulation of the vehicles with a statistical interpretation of macroscopic traffic flow measurements.  Suitable traffic flow representation allows running several copies of the simulator simultaneously.  There is no route assigned to the particular vehicle and consequently the requirement for data exchange between the concurrent copies of the simulator is low.]]></description>
      <pubDate>Wed, 17 Nov 1999 00:00:00 GMT</pubDate>
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      <title>SIMULATING TRAFFIC AND TRAFFIC CONTROL WITH FLEXSYT-II</title>
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      <description><![CDATA[This paper describes FLEXSYT-II, a microscopic simulation tool which can be used to study the effects of different kinds of traffic management measures for small scale networks.  For the simulation of traffic, FLEXSYT- II uses a trajectory model, incorporating accelerating and decelerating behavior of vehicles.  The traffic control part uses its own programming language to specify the control involved.  FLEXSYT-II was used in a simulation study to analyze the effects of several geometrical alternatives on an existing site in the Netherlands.  Simulation results show that the best alternative is to adjust the geometry of the site.]]></description>
      <pubDate>Wed, 17 Nov 1999 00:00:00 GMT</pubDate>
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