<rss version="2.0" xmlns:atom="https://www.w3.org/2005/Atom">
  <channel>
    <title>Transport Research International Documentation (TRID)</title>
    <link>https://trid.trb.org/</link>
    <atom:link href="https://trid.trb.org/Record/RSS?s=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" rel="self" type="application/rss+xml" />
    <description></description>
    <language>en-us</language>
    <copyright>Copyright © 2026. National Academy of Sciences. All rights reserved.</copyright>
    <docs>http://blogs.law.harvard.edu/tech/rss</docs>
    <managingEditor>tris-trb@nas.edu (Bill McLeod)</managingEditor>
    <webMaster>tris-trb@nas.edu (Bill McLeod)</webMaster>
    <image>
      <title>Transport Research International Documentation (TRID)</title>
      <url>https://trid.trb.org/Images/PageHeader-wTitle.jpg</url>
      <link>https://trid.trb.org/</link>
    </image>
    <item>
      <title>Detection of Sudden Pedestrian Crossings for Driving Assistance Systems</title>
      <link>https://trid.trb.org/View/1163278</link>
      <description><![CDATA[This paper studies the detection of sudden pedestrian crossings in order to assist drivers in avoiding accidents. The application has two major requirements: to detect crossing pedestrians as early as possible, just as they enter the view of the car-mounted camera; and to maintain a false alarm rate as low as possible. Even though many current sliding-window-based approaches using various features and classification algorithms have been proposed for image-/video-based pedestrian detection, performance in terms of accuracy and processing speed falls far short of practical application requirements. To address this problem, the authors propose a three-level coarse-to-fine video-based framework that detects partially visible pedestrians just as they enter the camera view, with low false alarm rate and high speed. The framework is tested on a new collection of high-resolution videos captured from a moving vehicle and yields a performance better than that of state-of-the-art pedestrian detection while running at a frame rate of 55 fps.]]></description>
      <pubDate>Mon, 27 Aug 2012 09:07:08 GMT</pubDate>
      <guid>https://trid.trb.org/View/1163278</guid>
    </item>
    <item>
      <title>A simulation approach to assess air pollution from road transport</title>
      <link>https://trid.trb.org/View/1187291</link>
      <description><![CDATA[A hybrid deterministic/ statistical modeling approach is used to predict air pollution levels generated from motor vehicle emissions.  The inclusion of the effects of source emissions and meteorology on ambient concentrations are allowed for by the deterministic models, but are applied only within their range of greatest reliability.  Two deterministic models are used in separate simulation exercises: the atdl model to obtain an area indication of pollution levels and the gm model to provide information on concentration reduction with distance from the roadway.  Extrapolation of the reliable output data obtained from the deterministic models is allowed by the use of the statistical model to predict the maximum levels of pollution concentration.  Monte carlo simulation is included to show the effects of system uncertainty with respect to emissions.  Variability in meteorology is allowed by running the model separately with a time series input of wind speed for different calendar years.  The methodology is demonstrated with an example in an Australian town that is being subjected to increasing heavy vehicle traffic due to mining operations in the area (a).]]></description>
      <pubDate>Fri, 24 Aug 2012 07:15:47 GMT</pubDate>
      <guid>https://trid.trb.org/View/1187291</guid>
    </item>
    <item>
      <title>Measuring Neuromuscular Control Dynamics During Car Following With Continuous Haptic Feedback</title>
      <link>https://trid.trb.org/View/1124663</link>
      <description><![CDATA[In previous research, a driver support system that uses continuous haptic feedback on the gas pedal to inform drivers of the separation to the lead vehicle was developed. Although haptic feedback has been previously shown to be beneficial, the influence of the underlying biomechanical properties of the driver on the effectiveness of haptic feedback is largely unknown. The goal of this paper is to experimentally determine the biomechanical properties of the ankle-foot complex (i.e., the admittance) while performing a car-following task, thereby separating driver responses to visual feedback from those to designed haptic feedback. An experiment was conducted in a simplified fixed-base driving simulator, where ten participants were instructed to follow a lead vehicle, with and without the support of haptic feedback. During the experiment, the lead vehicle velocity was perturbed, and small stochastic torque perturbations were applied to the pedal. Both perturbations were separated in the frequency domain to allow the simultaneous estimation of frequency response functions of both the car-following control behavior and the biomechanical admittance. For comparison to previous experiments, the admittance was also estimated during three classical motion control tasks (resist forces, relax, and give way to forces). The main experimental hypotheses were that, first, the haptic feedback would encourage drivers to adopt a “give way to force task,” resulting in larger admittance compared with other tasks and, second, drivers needed less control effort to realize the same car-following performance. Time- and frequency-domain analyses provided evidence for both hypotheses. The developed methodology allows quantification of the range of admittances that a limb can adopt during vehicle control or while performing a variety of motion control tasks. It thereby allows detailed computational driver modeling and provides valuable information on how to design and evaluate - - continuous haptic feedback systems.]]></description>
      <pubDate>Tue, 20 Dec 2011 10:37:34 GMT</pubDate>
      <guid>https://trid.trb.org/View/1124663</guid>
    </item>
    <item>
      <title>Enhanced Human-Machine Interface in Braking</title>
      <link>https://trid.trb.org/View/933314</link>
      <description><![CDATA[Antilock brake system (ABS) technology with powerful electronic components has shown superior braking performance to conventional vehicles on test tracks. On real highways, however, the performance of the ABS-equipped car has been disappointing. The poor braking performance with ABS has resulted from the questionable design of the human–machine interface for the brake system. The goal of this study is to design brake systems that provide more intuitive brake control and proper braking performance information for the driver. In this study automotive brake systems are modeled as a type of master–slave telemanipulator. Human force-displacement interaction at the brake pedal has a strong effect on braking performance. As a preliminary study in brake-system design, the characteristics of human leg motion and its underlying motor-control scheme are studied through experiments and simulations, and a model of braking motion by the driver’s leg is developed. This paper proposes novel brake systems based on two new aspects. First, the mechanical impedance characteristics of the leg action of the driver are taken into consideration in designing the brake systems. Second, the brake systems provide the driver with kinesthetic feedback of braking conditions or performance. The effectiveness of the proposed designs in a combined driver–vehicle system is investigated using driving simulation.]]></description>
      <pubDate>Thu, 16 Sep 2010 12:42:19 GMT</pubDate>
      <guid>https://trid.trb.org/View/933314</guid>
    </item>
    <item>
      <title>DYNAMIC NETWORK FLOW MODEL FOR SHORT-TERM AIR TRAFFIC FLOW MANAGEMENT</title>
      <link>https://trid.trb.org/View/705349</link>
      <description><![CDATA[In order to minimize the delay costs of fligts on the ground, models have been developed to assign ground holding delays optimally in the general network of airports.  The undeniable fact still remains that airborne delays can not be totally avoided as long as there are airborne holds such as when the local airspace capacity has a sudden decrease due to bad weather or other unpredicted disruptions.  To explore ways to minimize the costs of the unavoidable airborne holds, this paper presents a model based on multicommodity dynamic network flow for short term air traffic flow management.  This model has been validated using practical data from the Beijing ATC Center of the Civil Aviation Administration of China.]]></description>
      <pubDate>Fri, 13 Aug 2004 00:00:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/705349</guid>
    </item>
    <item>
      <title>IDENTIFICATION OF DRIVER STATE FOR LANE-KEEPING TASKS</title>
      <link>https://trid.trb.org/View/693973</link>
      <description><![CDATA[This paper looks at methods of assessing driver state as part of a road departure warning and intervention system.  It describes a system identification approach which uses vehicle lateral position as the input and steering wheel position as the output.  This is then used to develop a model and update the driving parameters.  The approach is applied to data from highway driving runs that are conducted in a driving simulator.]]></description>
      <pubDate>Wed, 31 Oct 2001 00:00:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/693973</guid>
    </item>
    <item>
      <title>DESIGN AND PERFORMANCE EVALUATION OF MIXED MANUAL AND AUTOMATED CONTROL TRAFFIC</title>
      <link>https://trid.trb.org/View/689856</link>
      <description><![CDATA[This paper describes a technology which allows for the co-existence of manually controlled and automatically controlled vehicles on a highway.  It involves an autonomous vehicle driving system (AVDS) which uses information only from vehicle sensors and does not require inter-vehicle communication.  The paper describes the simulation of manual and automated vehicles operating together, and it is shown that the AVDS can lead to an increase in capacity and traffic flow without a decrease in safety.]]></description>
      <pubDate>Mon, 20 Aug 2001 00:00:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/689856</guid>
    </item>
    <item>
      <title>LANE DETECTION BY ORIENTATION AND LENGTH DISCRIMINATION</title>
      <link>https://trid.trb.org/View/671087</link>
      <description><![CDATA[This paper describes a lane detection algorithm that can be applied to traffic surveillance activities.  The algorithm extracts complete multiple lane information by using prominent orientation and length features of lane markings and curb structures to discriminate against other features.  The algorithm is shown to be practical, robust efficient, flexible, and accurate.]]></description>
      <pubDate>Tue, 26 Dec 2000 00:00:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/671087</guid>
    </item>
    <item>
      <title>EVOLUTIONARY TUNING OF A FUZZY DISPATCHING SYSTEM FOR AUTOMATED GUIDED VEHICLES</title>
      <link>https://trid.trb.org/View/671088</link>
      <description><![CDATA[This paper presents a genetic algorithm that can be used in creating optimal fuzzy dispatching rules for a fleet of automated guided vehicles in a flexible manufacturing environment.]]></description>
      <pubDate>Tue, 26 Dec 2000 00:00:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/671088</guid>
    </item>
    <item>
      <title>AN OBJECT-ORIENTED, CONSTRAINT-BASED HEURISTIC FOR A CLASS OF PASSENGER-TRAIN SCHEDULING PROBLEMS</title>
      <link>https://trid.trb.org/View/668117</link>
      <description><![CDATA[This paper presents a constraint-based heuristic method for predictive scheduling of passenger trains.  The method involves a lookahead algorithm that has been designed using an object-oriented methodology. Simulation experiments results show that this heuristic method minimizes train waiting times.]]></description>
      <pubDate>Fri, 06 Oct 2000 00:00:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/668117</guid>
    </item>
    <item>
      <title>FUSION OF FIXATION AND ODOMETRY FOR VEHICLE NAVIGATION</title>
      <link>https://trid.trb.org/View/655671</link>
      <description><![CDATA[This paper describes a technique which involves fusing odometry with information provided by a vision system to determine the position and orientation of an autonomous guided vehicle (AGV).  The method involves fixating on a landmark which leads to an improvement in navigation accuracy, even if the scene coordinates for the landmark are not known.  The authors contend that this proposed method is a more simple procedure as only one point is required to be tracked. Experimental and simulation results support these findings.]]></description>
      <pubDate>Tue, 13 Jun 2000 00:00:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/655671</guid>
    </item>
    <item>
      <title>ON GENERATING FC /SUP3/ FUZZY RULE SYSTEMS FROM DATA USING EVOLUTION STRATEGIES</title>
      <link>https://trid.trb.org/View/652450</link>
      <description><![CDATA[This paper describes how the structure of  fuzzy rule systems can be created from data by using evolution strategies.  The proposed approach is applied to the design of a distance controller for vehicles.  It is shown that the fuzzy system works well for training and test driving situations.]]></description>
      <pubDate>Fri, 05 May 2000 00:00:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/652450</guid>
    </item>
    <item>
      <title>DISTRIBUTED AND COOPERATIVE FUZZY CONTROLLERS FOR TRAFFIC INTERSECTIONS GROUP</title>
      <link>https://trid.trb.org/View/513143</link>
      <description><![CDATA[This paper describes a fuzzy traffic controller for a set of intersections and how it operates.  A simulator for intersection groups is used for a performance evaluation of the controller.  The proposed method is compared with a conventional vehicle actuated method, and average delay time of a vehicle is used as a performance index.  The simulation results show that the fuzzy method shows good performance in the case of time-varying traffic patterns and heavy traffic conditions.]]></description>
      <pubDate>Wed, 05 Jan 2000 00:00:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/513143</guid>
    </item>
    <item>
      <title>AN INTEGRATED SPATIO-TEMPORAL APPROACH TO AUTOMATIC VISUAL GUIDANCE OF AUTONOMOUS VEHICLES</title>
      <link>https://trid.trb.org/View/492735</link>
      <description><![CDATA[This article presents the Kalman filtering approach to recursive state estimation exploiting dynamic models for the motion of massive objects extended to image sequence processing. Results are presented for road vehicle guidance at high speed including obstacle detection and monocular relative spatial state estimation. Speeds up to 100 km/h have been demonstrated.]]></description>
      <pubDate>Wed, 17 Nov 1999 00:00:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/492735</guid>
    </item>
    <item>
      <title>MODEL-DIRECTED MOBILE ROBOT NAVIGATION</title>
      <link>https://trid.trb.org/View/492737</link>
      <description><![CDATA[This article describes the UMass Mobile Robot Project which is investigating the problem of intelligent navigation of an autonomous robot vehicle]]></description>
      <pubDate>Wed, 17 Nov 1999 00:00:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/492737</guid>
    </item>
  </channel>
</rss>