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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>USING GIS TO IDENTIFY PROBLEM AREAS AND ENHANCE PEDESTRIAN SAFETY IN CLARK COUNTY, NEVADA</title>
      <link>https://trid.trb.org/View/644219</link>
      <description><![CDATA[Clark County, Nevada, which includes Las Vegas, has been the fastest growing metropolitan area in the country, with more than an 85 percent increase in population since 1990. The growth in population has had a direct impact on travel demand, construction and maintenance of various transportation related infrastructure facilities, and traffic safety. Observations indicate that there were a total of 39,732 crashes in 1996, 42,844 crashes in 1997, 43,435 crashes in 1998 and 44,117 crashes in 1999 in Clark County, Nevada. Preliminary investigations indicate that the region has experienced the highest number of fatal pedestrian crashes and pedestrian injury crashes among urban counties with similar populations. On an average, the region has seen more than 40 fatal crashes involving pedestrians annually during the last five years. Likewise, the region has also seen over 650 pedestrian injury crashes per year during the same period. The high incidence of pedestrian crashes warrants further analysis. The goal is to identify problem areas and implement technologies based on potential underlying explanatory factors in order to enhance pedestrian safety in the region. This involves studying the spatial and temporal patterns of crashes and integrating the same with other thematic layers such as demographic information, socio-economic data, and land use information. This could be easily implemented by developing a methodology in a Geographic Information Systems (GIS) environment. The methodology includes the following steps. 1) Define the crash problem(s). 2) Identify zones based on criteria suggested by the Federal Highway Administration (FHWA). 3) Geo-code crash data will be maintained and provided by the Nevada Department of Transportation (NDOT) using the 3 referencing approaches: street addresses, highway route number and milepost location, and offsets from an intersection. 4) Overlay crash data on the zones coverage in order to estimate the number of crashes in each zone. 5) Calculate crash rates based on the selected crash problem. For example, if pedestrian crashes involving senior citizens between 6:00 PM to 6:00 AM is the crash problem, crash rates are calculated by dividing the total number of crashes involving senior citizens between 6:00 PM to 6:00 AM in the zone to the total number of senior citizens in the same zone. 6) Rank the zones from highest crash rate zone to the lowest crash rate zone. 7) Select a minimum number of zones to conduct detailed analysis and implement countermeasure programs targeting these zones with high crash problems. The focus of the presentation will be on 1) the methodology to identify zones for detailed analysis, and 2) results obtained from the geospatial analysis.]]></description>
      <pubDate>Mon, 16 Jun 2003 00:00:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/644219</guid>
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      <title>AUTOMATED LOGPOINT REPORTING</title>
      <link>https://trid.trb.org/View/646221</link>
      <description><![CDATA[A logpoint report is a listing of points of interest along a road. These points of interest include at-grade intersections, over/under-passes and political boundary crossings. Currently, most of these reports are based on text descriptions of the various points of interest which are referenced to route/reference point locations and must be maintained to account for point of interest changes as well as route or reference point changes. This presentation is about a new automated logpoint reporting program, the first application built on Minnesota Department of Transportation's (Mn/DOT's) Location Data Management (LDM) system. This application eliminates all the text database maintenance required to produce up-to-date reports. Points to be discussed are: Logpoint report requirements, LDM database design considerations, Logpoint report program object model, Evaluation of program output and Expected savings.]]></description>
      <pubDate>Mon, 16 Jun 2003 00:00:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/646221</guid>
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      <title>GPS IN HOUSEHOLD TRAVEL SURVEYS</title>
      <link>https://trid.trb.org/View/646222</link>
      <description><![CDATA[Global Positioning Systems (GPS) devices were deployed during the 2001 California Statewide Household Travel Survey to validate trip reporting accuracy within a subsample conducted in three counties (Sacramento, Alameda, and San Diego). Each household recruited within the GPS study was provided with up to three in-vehicle GPS data loggers for each household vehicle. The data collected were compared with travel data reported through traditional paper diary recording and telephone retrieval methods. An application was developed within a Geographic Information System (GIS) to process the GPS points and to allow an analyst to edit the trip end details so that highly accurate GPS trips could be used as the basis of comparison. This paper discusses the application of GPS technologies within household travel surveys and the trip end editing software application developed for this project.]]></description>
      <pubDate>Mon, 16 Jun 2003 00:00:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/646222</guid>
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      <title>GIS-T 2002 : MELTING DOWN THE STOVE PIPES, ATLANTA, GEORGIA, MARCH 25-27, 2002</title>
      <link>https://trid.trb.org/View/644218</link>
      <description><![CDATA["GIS-T 2002 : Melting Down the Stove Pipes," took place in Atlanta, Georgia from March 25-27, 2002.  This conference, relating to the use of geographic information systems in transportation (GIS-T), covered the following subject areas: enterprise architecture, data collection, interagency utilization, path finding, linear referencing systems, remote sensing, transit systems, data modeling, web GIS, transportation planning, global positioning systems (GPS), data integration, travel behavior, intelligent transportation systems (ITS), spatial analysis, case studies, and asset management.]]></description>
      <pubDate>Fri, 13 Jun 2003 00:00:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/644218</guid>
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      <title>OHIO'S BASE TRANSPORTATION REFERENCING SYSTEM (BTRS), BRINGING ENTERPRISE GIS TO THE OHIO DEPARTMENT OF TRANSPORTATION</title>
      <link>https://trid.trb.org/View/646218</link>
      <description><![CDATA[In 1999 The Ohio Department of Transportation (ODOT) began an effort to seamlessly integrate corporate enterprise management systems with ODOT's mature geographic information system (GIS). This effort was entitled the Base Transportation Referencing Systems (BTRS). A few of the integrated systems are: Project Development Management System (PDMS), Construction Management System (CMS), Pavement Management Systems(PMS); in all 11 large Enterprise Management systems were geo-referenced. This project not only updated the systems, but also kept them updated as the underlying road networks were modified. This presentation will cover the methodologies used to bring corporate data to not only standard SQL reporting tools, but to GIS as well. New systems and products based upon the BTRS standard will be demonstrated.]]></description>
      <pubDate>Fri, 13 Jun 2003 00:00:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/646218</guid>
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      <title>USING LOCATION TO INTEGRATE LOCAL AND STATE GOVERNMENT ROAD INFORMATION</title>
      <link>https://trid.trb.org/View/646219</link>
      <description><![CDATA[Local governments face many of the same issues that Departments of Transportation have with using and maintaining their road information. They are also the source of local road update information for many Departments of Transportation. Under the Minnesota State Aid system, local governments are required to provide certain data to Minnesota Department of Transportation (DOT) as a condition of their participation in the program. The City of Rochester and Olmstead County, Minnesota have initialized a project to improve information flow between multiple government departments via location referencing, including the Minnesota DOT. This paper will present the issues, steps taken, and lessons learned from designing and prototyping a solution for this system. The audience can use this information when designing or improving their government interface efforts.]]></description>
      <pubDate>Fri, 13 Jun 2003 00:00:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/646219</guid>
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      <title>EVALUATING DRIVER BEHAVIOR AND SAFETY WITH GPS EVENT RECORDERS AND GIS</title>
      <link>https://trid.trb.org/View/646220</link>
      <description><![CDATA[Georgia Tech is currently undergoing a 3-year project funded by the National Highway Traffic Safety Administration investigating the relationship between driver speed behavior and crash probability. Vehicles in Atlanta are currently being instrumented with an event data recorder that is collecting second-by-second digital global positioning system (DGPS) position (plus dead reckoning for urban canyons), and sub-second speed and accelerations. Given the nature of the intensive data collection plan (1000 vehicles for a two year period), the data will also be used to evaluate a number of other transportation issues including travel behavior, driver behavior, and road segment operations. The data will be summarized by household, person, vehicle, trip type, and road segment. Vehicle path and traveled road segments will be identified through a combination of vehicle heading change and shortest path routines between known crossings. This paper will present the management, geographic information system (GIS) processing, and analysis of the positional information.]]></description>
      <pubDate>Fri, 13 Jun 2003 00:00:00 GMT</pubDate>
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