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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>Design Perspectives on Delivery Drones</title>
      <link>https://trid.trb.org/View/1484766</link>
      <description><![CDATA[With the increasing demand for commercial deliveries within cities, companies face a fundamental limitation in surface road capacity. Drone delivery aims to overcome that limitation by exploiting the vertical dimension above city streets. This report explores the vehicle design aspects of the delivery drone problem, including flight efficiency, energy consumption, noise, and safety, which are central to the viability of delivery drones. Chapter 1 of this report provides an introduction to the topic. Chapter 2 looks at the requirements that drive drone delivery. Chapter 3 examines vehicle configuration. Chapter 4 addresses performance and outlook. Some conclusions are offered in Chapter 5. An appendix provides the assumptions underlying the modeling discussed in the main report.]]></description>
      <pubDate>Sat, 14 Oct 2017 16:34:12 GMT</pubDate>
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      <title>Twenty-First Century Vehicle Technology</title>
      <link>https://trid.trb.org/View/781735</link>
      <description><![CDATA[This chapter describes the technical transformation that the automobile has undergone in the past years and it provides a vision for its continuing transformation in the medium-term future.  The most notable and dramatic part of this future will be the automobile’s transformation from an essentially isolated island in the transportation system to a fully connected element of an integrated transportation system encompassing vehicles and their operators, and the infrastructure and its operators.  Vehicle operators have always been able to take note of their immediate driving environment and to expand this view slightly with the aid of car radios and roadside signs and signals.  Infrastructure operators have always done surveillance on their road networks in order to try to operate the system as knowledgeably as possible.  However, the new prospect is for vehicle systems to be able to interact with public and private infrastructure systems to provide better information to drivers and infrastructure managers and to allow the systems to facilitate accurate, broad-based, high-speed cooperation among all parties in the newly integrated environment.]]></description>
      <pubDate>Thu, 25 May 2006 07:31:41 GMT</pubDate>
      <guid>https://trid.trb.org/View/781735</guid>
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      <title>TRUCK COSTING MODEL FOR TRANSPORTATION MANAGERS</title>
      <link>https://trid.trb.org/View/660920</link>
      <description><![CDATA[A software model was developed to estimate truck costs under different equipment configurations, input prices, and gross vehicle weights.  The software was developed to obtain costs for many different configurations and trip characteristics. Important conclusions that can be drawn from running simulations include the sensitivity of costs and equipment use, wait time and trip distance, labor, and fuel price.  The relationships of cost variables and the cost of operations are important for trucking companies and shippers.]]></description>
      <pubDate>Tue, 23 Sep 2003 00:00:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/660920</guid>
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      <title>IMPROVING SAFETY WITH DYNAMIC WARNING SYSTEMS</title>
      <link>https://trid.trb.org/View/711725</link>
      <description><![CDATA[This paper examines three types of targeted driver advisory systems used to prevent truck accidents: Downhill Warning Systems; Ramp Rollover Warning Systems; and Runaway Truck Signal Control Systems.  Recent studies indicate that approximately 30% of truck accidents result from loss of vehicle control due to excessive speed for existing road conditions.  Based on vehicle weight, speed, number of axles, axle spacing and vehicle configuration information obtained by in-road Weigh-In-Motion (WIM) sensors, the targeted driver advisory systems provide specific warning messages for vehicles determined to be at risk of accident.]]></description>
      <pubDate>Thu, 02 May 2002 00:00:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/711725</guid>
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    <item>
      <title>CRASHES INVOLVING LONG COMBINATION VEHICLES: DATA QUALITY PROBLEMS AND RECOMMENDATIONS FOR IMPROVEMENT</title>
      <link>https://trid.trb.org/View/717388</link>
      <description><![CDATA[In 1999-2000, the Automobile Association of America Foundation for Traffic Safety conducted a research program to identify the barriers to analysis of large-truck safety experience in the United States.  The primary focus was on so-called longer combination vehicles (LCVs)--the doubles and triples running on major highways throughout the country.  Five states (Florida, Idaho, Nevada, Oregon, and Utah) participated in a review and evaluation of their data-collection and analysis practices.  Two of the states (Oregon and Utah) also participated in an audit of completed crash reports for crashes involving large trucks and specifically doubles and triples.  The results show that none of the five states has a crash-reporting system that adequately supports the analysis of LCV safety.  In general, there is a lack of reliable data on the exact configuration of vehicles involved in crashes and a lack of specific measures of exposure for LCVs.  Without good data on configuration and good measures of exposure, the main question about LCV safety (i.e., are they more or less safe than other large commercial motor vehicles?) cannot be answered empirically.  The report concludes with a series of recommendations for improving the quality of data for crashes involving large trucks and a state's ability to analyze LCV crashes specifically.]]></description>
      <pubDate>Wed, 13 Feb 2002 00:00:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/717388</guid>
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    <item>
      <title>VEHICLE CLASSIFICATION FOR EXPRESSWAY CAPACITY ANALYSIS IN CHINA</title>
      <link>https://trid.trb.org/View/657338</link>
      <description><![CDATA[A new vehicle classification is given in this paper for expressway capacity analysis in China, because the existing vehicle classification causes some problems, such as the vehicle-types whose sizes are the same have different performance characteristics.  The new vehicle classification is principally based on free-flow speed together with the characteristics of vehicle configuration and wheelbase frequency.  According to this principle, dynamic cluster is used to combine the existing vehicle-types into three new vehicle-types, which are labeled passenger car, heavy vehicle, and unidentified vehicle.  After analysis of the performance characteristics of the new vehicle-types and validation of local data, the new vehicle classification is proven and applied successfully in expressway capacity analysis in China.]]></description>
      <pubDate>Tue, 25 Jul 2000 00:00:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/657338</guid>
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      <title>HEAVY VEHICLE SUSPENSION DYNAMIC RESPONSE AND ITS RELATION TO POTENTIAL DAMAGE TO ROADS</title>
      <link>https://trid.trb.org/View/514746</link>
      <description><![CDATA[This paper presents an assessment of the relation between pavement stored energy and road damage. This assessment is based on mathematical models of different heavy duty vehicles and pavement configurations. Vehicle-road interaction is simulated assuming that the pavement behaves as a viscoelastic material and the vehicles perform as linear multibody spring damped mass systems. Variation in a tire's inflation pressure, suspension stiffness, load level, and road roughness are analyzed as a function of different vehicle configurations. Based on this simulation, a level of friendliness as a function of pavement accumulated strain energy, is associated to each vehicle configuration.]]></description>
      <pubDate>Tue, 01 Feb 2000 00:00:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/514746</guid>
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      <title>COMPREHENSIVE TRUCK SIZE AND WEIGHT STUDY PHASE 1 SYNTHESIS: WORKING PAPER 11 - ENVIRONMENT AND TRUCK SIZE AND WEIGHT REGULATIONS</title>
      <link>https://trid.trb.org/View/496969</link>
      <description><![CDATA[In general, very little work has been done relating the impact of changing truck size and weight (TS&W) regulations to impacts on the environment.  Some work was done by the American Trucking Associations in the late 1970s and early 1980s.  Other work by the Society of Automotive Engineers, the Environmental Protection Agency and several European sources has focused a great deal on characterizing the heavy duty engine.  This includes emission requirements and standards, noise levels, performance standards, noise abatement, and fuel economy.  While this is all useful information and a great deal of it was used for the development of this paper, most of the work related directly to truck size and weight issues has focused on the physical and structural impacts to bridges, pavements, etc.  The majority of sources for this paper regarding environmental impacts focus on heavy duty engine emissions, noise levels, and other topical areas, not specifically the environmental impact associated with changes in truck size and weight regulations. Topics covered in the paper include: alternative fuel use; vehicle weight; vehicle configuration; intermodalism; truck usage; engine emissions; environmental modeling capabilities; vehicle related noise considerations; and truck induced vibrations.]]></description>
      <pubDate>Tue, 06 Apr 1999 00:00:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/496969</guid>
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      <title>THE EFFECT OF HEIGHT AND CONFIGURATION OF THE OVERTAKEN VEHICLE AND THE USE OF A "LONG LOAD" SIGN ON OVERTAKING BEHAVIOUR</title>
      <link>https://trid.trb.org/View/199531</link>
      <description><![CDATA[A study was made of the effect of increasing the height of the overtaken vehicle in the traffic stream, and of using a sign to advise of a long load, as well as the effect of vehicle configuration on overtaking times and distances. An articulated vehicle and a double trailer combination (articulated vehicle hauling one articulated trailer) were used to test the effect of changing vehicle configuration.  Analysis results demonstrated that increasing a vehicle's height from 2.5 to 4 meters, using the sign procedure, and using a double trailer combination rather than a single articulated vehicle of the same length had no significant impact on overtaking behavior.  These results are in agreement with a recent Swedish study.]]></description>
      <pubDate>Thu, 28 Jun 1984 00:00:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/199531</guid>
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