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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>
    <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>
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      <title>Transport Research International Documentation (TRID)</title>
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      <title>Toolkit for the Assessment of Safety at Bus Stops</title>
      <link>https://trid.trb.org/View/2190168</link>
      <description><![CDATA[Safety at bus stops is a major concern of transit agencies. This research aimed to develop a data-driven method for estimating bus stop safety scores that will assist transit agencies in ranking and prioritizing bus stops for improvement considerations. This study presents a bus stop scoring methodology that uses a data-driven approach based on multiple data sources. The methodology was developed using six criteria: bus stop characteristics inventory, roadway characteristics inventory (RCI), land use and demographics, pedestrian crash frequency, annual average daily traffic, and annual ridership. Crash data were collected from SignalFour Analytics, and roadway characteristics data were retrieved from the Florida Department of Transportation RCI database. The Florida Geographic Data Library was used for retrieving census and land use data, while the Florida Transit Information System was employed to extract information on transit stops. A data-driven method was used to develop a priority list for improvements among the selected bus stops. The methodology was implemented in a case study including three transit agencies: Hillsborough Area Regional Transit Authority, Jacksonville Transportation Authority, and Miami-Dade Transit. A bus stop priority list was generated for each agency, with the highest-ranking bus stop location having the greatest need for safety improvements. Based on the analysis, safety measures that could improve safety at the highest-ranking bus stop locations include: installing a shelter, installing pedestrian safety features, conducting pedestrian safety outreach programs, and/or conducting further site investigation.]]></description>
      <pubDate>Tue, 06 Jun 2023 15:38:32 GMT</pubDate>
      <guid>https://trid.trb.org/View/2190168</guid>
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    <item>
      <title>Route-Level Ridership and Frequency Data in Four Transit Agencies (STRIDE project A2) [supporting dataset]</title>
      <link>https://trid.trb.org/View/1869594</link>
      <description><![CDATA[This dataset contains route-level ridership and frequency data between 2012 and 2018 in TriMet (OR), Metro Transit (MN), Miami-Dade Transit (FL), and MARTA (GA). Total daily passenger boardings and vehicle-trips are shown for weekdays over time.]]></description>
      <pubDate>Wed, 25 Aug 2021 11:41:10 GMT</pubDate>
      <guid>https://trid.trb.org/View/1869594</guid>
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    <item>
      <title>Transit Service Reliability: Analyzing Automatic Vehicle Location (AVL) Data for On-Time Performance and Identifying Conditions Leading to Service Degradation</title>
      <link>https://trid.trb.org/View/1716340</link>
      <description><![CDATA[Transit agencies are increasingly using automatic vehicle location (AVL) data to support key performance indicators, for responding to service complaints, or for reviewing and improving the quality of service. The main objective of this study was to investigate the use of AVL data for improving transit service reliability: (1) improving on-time performance, and (2) monitoring bus schedule adherence and bus bunching. Static and real-time General Transit Feed Specification (GTFS) data from Hillsborough Area Regional Transit Authority (HART) and data from the Miami-Dade Transit (MDT) AVL system were used.]]></description>
      <pubDate>Thu, 09 Jul 2020 11:59:39 GMT</pubDate>
      <guid>https://trid.trb.org/View/1716340</guid>
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    <item>
      <title>Miami Metromover System Expansion Study</title>
      <link>https://trid.trb.org/View/1403413</link>
      <description><![CDATA[The Miami Metromover is a free automated people mover system operated by Miami-Dade Transit serving downtown Miami’s central business district and surrounding neighborhoods. Due to the dramatic increase in the Miami Metromover ridership over the last decade and the recent development in key areas of downtown Miami, feasible options to connect future Metromover passengers to a new urban downtown lifestyle through an expanded Metromover system are needed. This paper summarizes the initiative to quickly and proficiently assess the feasibility of expanding the Metromover system to connect the underserved markets in downtown Miami while maintaining an efficient operation of the existing system. The project initiative was developed by the Miami-Dade Metropolitan Planning Organization in coordination with Miami-Dade Transit and other partner agencies. During the study, options for system expansion were conceptualized and evaluated to provide greater system accessibility to Metromover users and improve system efficiency within the downtown area. Major elements of the study included data collection, passenger sampling survey, development of a Metromover expansion master plan, and identification of a preferred concept through a variety of quantitative and qualitative measures. As part of the refinement process estimated capital costs and operations and maintenance costs for the project were developed.]]></description>
      <pubDate>Fri, 22 Apr 2016 10:47:15 GMT</pubDate>
      <guid>https://trid.trb.org/View/1403413</guid>
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    <item>
      <title>Using a Web-service to Monitor Transit On-time Performance</title>
      <link>https://trid.trb.org/View/1280357</link>
      <description><![CDATA[On-Time Performance is a critical measure for transit agencies. Yet, there are still missing opportunities for improving on-time performance. Transit agencies can improve the delivery of services by using data from Intelligent Transportation Systems (ITS). Different ITS technologies are currently being used. However, there is still the need for specialized software applications to fully leverage ITS data. This paper presents a method for using a web-based service to monitor on-time performance real time. It uses Automatic Vehicle Location data and a web service that publishes a dataset directly from the database. An extended service is also included for additional functionality. The paper describes the methodologies for the data management and reporting services. Skype is used to notify transit staff automatically when the on-time performance for the whole system or a particular route is below a desired threshold. This is a proactive approach to improving OTP, rather than acting on reports after the fact. A case study conducted using data from Miami-Dade Transit (MDT) is also presented in this paper. The methodology used and the findings from this research can be applied by transit agencies to help improve operational efficiencies and quality of service.]]></description>
      <pubDate>Mon, 23 Dec 2013 07:52:41 GMT</pubDate>
      <guid>https://trid.trb.org/View/1280357</guid>
    </item>
    <item>
      <title>Railroad Accident Brief: Collision between Two Miami-Dade Transit Metromovers, Miami, Florida, July 20, 2010</title>
      <link>https://trid.trb.org/View/1202509</link>
      <description><![CDATA[On July 20, 2010, about 5:39 p.m., eastern daylight time, an inbound Miami-Dade Transit (MDT) Metromover, traveling about 10 mph along a fixed guideway, struck the trailing end of another Metromover. The struck Metromover was stopped at Brickell Station near downtown Miami, Florida. There were a total of 45 passengers on board the two Metromovers. These Metromovers operate in a fully automatic mode without human operators. Sixteen passengers incurred minor injuries and were transported to, treated by, and released from local hospitals. At the time of the accident, weather conditions were clear, with winds of 20 mph and a temperature of 87° F. Total damages were estimated at $406,691. The National Transportation Safety Board determines that the probable cause of the accident was the Miami-Dade Transit rail traffic controllers’ decision to restart automated train operations without accounting for the location of all Metromovers following a safety shutdown after the signal rail had been damaged by a defective Metromover guide wheel. Contributing to the accident was inadequate oversight by Miami-Dade Transit.]]></description>
      <pubDate>Mon, 27 Aug 2012 09:04:41 GMT</pubDate>
      <guid>https://trid.trb.org/View/1202509</guid>
    </item>
    <item>
      <title>Using AVL Data to Improve Transit On-Time Performance</title>
      <link>https://trid.trb.org/View/1119353</link>
      <description><![CDATA[This paper describes an approach for improving on-time performance at transit agencies. It takes advantage of the schedule adherence information from an AVL system. A methodology that can be used to update the bus timetables by using AVL schedule adherence data is described. Using statistical analysis, the main goal is to maximize the density area of the on-time performance range. From this distribution, the optimal value is obtained and used to update the times in the timetables. Then, a comparison process is used to assess the on-time performance improvements. In addition, a simulation process is presented to provide a different perspective than the statistical methodology. This approach also presents possibilities for further on-time performance improvements. To demonstrate the applicability of this research, a case study using data from Miami-Dade Transit is included. The on-time performance calculations for Routes 99 and 57 also are presented.]]></description>
      <pubDate>Fri, 28 Oct 2011 10:36:07 GMT</pubDate>
      <guid>https://trid.trb.org/View/1119353</guid>
    </item>
    <item>
      <title>Monitoring Transit On-Time Performance Real Time Using a Web-Service Dataset</title>
      <link>https://trid.trb.org/View/1090910</link>
      <description><![CDATA[Transit agencies have the opportunity to improve the delivery of services by using data from Intelligent Transportation Systems (ITS). Different ITS technologies and datasets are currently being used by transit agencies for different purposes. However, there is still the need for more sophisticated software applications to leverage the value of current ITS technologies. On-time performance is an important measure to almost every transit agency. Yet, there are still missing opportunities for improving on-time performance. This paper presents a method for monitoring on-time performance real time. It uses Automatic Vehicle Location (AVL) data and a web service that publishes a dataset directly from the database. An extended service is also included for system administrators. The paper describes the methodologies used to set up the data management, reporting services, web service, web application, and Skype software technology, which is used to process requests and to make the phone calls. This system can be used to notify transit staff automatically when the on-time performance for the whole system or a particular route is below a desired threshold. A case study conducted using data from Miami-Dade Transit (MDT) is also presented in this paper. It is expected that the methodology used and the findings from this research can be applied by transit agencies to help improve operational efficiencies and quality of service.]]></description>
      <pubDate>Tue, 22 Feb 2011 11:26:27 GMT</pubDate>
      <guid>https://trid.trb.org/View/1090910</guid>
    </item>
    <item>
      <title>Recoating Electrified Third Rail cover Boards - Phase 2</title>
      <link>https://trid.trb.org/View/935442</link>
      <description><![CDATA[This Innovations Deserving Exploratory Analysis (IDEA) project builds on the successfully completed Transit Idea Project 44, Cleaning and Recoating Electrified Third Rail Cover Boards (see TRIS 01122985).  The purpose of this project is to test and demonstrate an operational high speed system to clean and recoat in-place the fiberglass reinforced plastic cover boards on electrified third rails for rail rapid transit systems.  Miami Dade Transit (MDT) participated in this project by testing of the high speed recoating system on their facilities.  Two high speed cleaning methods, a spray bar and a spinning bar, were considered, and two high speed coating application methods, power roller and airless sprayer, were considered.  The spray bar required excessive water flow and the power roller was tool slow and inefficient.  It was determined that a water-based coating would be desirable because of the issues of cost and cleaning of the application equipment with solvent based coatings.  Coating adhesion tests were performed on two water-based coating products in accordance with the American Society for Testing and Materials (ASTM) standard test D 4541, Standard Test Method for Pull-Off Strength of Coatings Using Portable Adhesion Testers, in cooperation with the coating manufacturers.  Two surface coating materials were applied to cover board segments on the MDT track to evaluate their performance and assist MDT in selection for future application.  The work in this project to improve the pressure washing system for high speed cleaning of cover boards was considered to be successful by MDT staff.]]></description>
      <pubDate>Mon, 04 Oct 2010 16:44:27 GMT</pubDate>
      <guid>https://trid.trb.org/View/935442</guid>
    </item>
    <item>
      <title>Solar Panels in Transit Stations: An Unfinished Initiative in Miami-Dade</title>
      <link>https://trid.trb.org/View/917490</link>
      <description><![CDATA[Since 1984 Miami-Dade County has been operating Metrorail, a 20 mile, 20 station heavy rail transit system. By May of 2003, 2 Stations and 1.2 miles of track had been added. The existing system is largely elevated with minor portions at grade. The original station design capitalized on the elevated structure by creating open-air naturally ventilated platforms and concourses. In April 2007, Miami-Dade County issued Notice to Proceed to the Parsons Transportation Group to advance its Preliminary Engineering Design to ± 60% for the elevated 9.5 mile, 7 station extension of the North Corridor of Metrorail. Although some design revisions to the original stations were called for, the original concept of open-air stations was considered a success and highly cost effective. The design criteria mandated that the open pavilion-like stations would continue.]]></description>
      <pubDate>Mon, 24 May 2010 14:08:40 GMT</pubDate>
      <guid>https://trid.trb.org/View/917490</guid>
    </item>
    <item>
      <title>Improving Transit On-time Performance with AVL Data: A Timetable Approach</title>
      <link>https://trid.trb.org/View/911104</link>
      <description><![CDATA[This paper describes an approach that can be used for improving on-time performance at transit agencies. It takes advantage of data from an automated vehicle location (AVL) system, in particular the schedule adherence information. Schedule adherence refers to the difference between real time and scheduled time of arrivals or departures. On-time performance, on the other hand, is a percentage value used to indicate buses arriving or departing late, on-time, or early. A methodology that can be used to update the bus timetables by using AVL schedule adherence data is described. Before this methodology can be applied, the AVL data need to be cleaned, manipulated, and stored in a database to allow the processing of the data. Using statistical analysis, the distribution of the data can be determined. Once the statistical distribution is known, the main goal is to maximize the density area of the on-time performance range, which is based on the on-time performance parameters. From this distribution, the optimal value is obtained and it is used to update the times in the timetables. A validation process is provided to ensure the updating takes effect. Then, a comparison process is used to assess the on-time performance improvements. In addition, a simulation process is presented to provide a different perspective than the statistical methodology. To demonstrate the applicability of this research, a case study using data from Miami-Dade Transit is included and on-time performance calculations for Routes 99 and 57 are presented. Ideas for future research in this area are also identified.]]></description>
      <pubDate>Wed, 14 Apr 2010 07:14:12 GMT</pubDate>
      <guid>https://trid.trb.org/View/911104</guid>
    </item>
    <item>
      <title>A Transit Methodology Using Six Sigma for Heavy Rail Vehicle Maintenance Programs</title>
      <link>https://trid.trb.org/View/904119</link>
      <description><![CDATA[This research central purpose was to develop a methodology for determining how substantial public resources should be invested so that rail transit operations can be improved relative to capital and operating efficiencies. However, the goal was to use a proven methodology tool (Six Sigma) for increasing productivity and apply it in a transit environment to improve and sustain capital and operating efficiencies. Application of the transit methodology using Six Sigma was accomplished by conducting a Case Study of Miami-Dade Transit Process Improvement and the Six Sigma Initiative, with emphasis on rail car maintenance.]]></description>
      <pubDate>Fri, 06 Nov 2009 16:24:22 GMT</pubDate>
      <guid>https://trid.trb.org/View/904119</guid>
    </item>
    <item>
      <title>Two of a Kind: Miami's Metrorail and Metromover</title>
      <link>https://trid.trb.org/View/884554</link>
      <description><![CDATA[Texas A&M University's Texas Transportation Institute ranked South Florida 6th in the nation for traffic congestion in 2005. Southern Florida commuters were taking 42% longer to get to their destinations during rush hours than at non-commute times. To help alleviate this situation, Miami-Dade Transit (MDT) will be expanding Metrorail, its rail rapid transit service, from 1 to 2 lines, and the new route will parallel State Road 836, known locally as the Dolphin Expressway. This article describes the project and how it is expected to impact on MDT's 2 rail systems, Metrorail and Metromover, the former a traditional subway line and the latter an automated rubber-tired people mover that circulates around downtown Miami.]]></description>
      <pubDate>Fri, 13 Mar 2009 09:40:24 GMT</pubDate>
      <guid>https://trid.trb.org/View/884554</guid>
    </item>
    <item>
      <title>Cleaning and Recoating Electrified Third Rail Cover Boards</title>
      <link>https://trid.trb.org/View/884662</link>
      <description><![CDATA[This Innovations Deserving Exploratory Analysis (IDEA) project sought to develop a system to clean and recoat in place the fiberglass reinforced plastic cover boards on electrified third rails for rail rapid transit systems.  Several surface coating materials were considered and applied to deteriorated cover board segments to evaluate and to select the appropriate coating material.  This project included development, proof of concept, and prototype testing.  Metropolitan Atlanta Rapid Transit Authority (MARTA), Miami Dade Transit (MDT), and the San Francisco Bay Area Rapid Transit District (BART) participated in this project by testing of this system on their facilities.  This report includes information so that other rail rapid transit agencies can consider using such a system for restoring their third rail cover boards.  It was determined that compressed air jets was the most appropriate cleaning system and two component polyurea spray was the recommended coating with self adhesive reinforcement mesh as needed.]]></description>
      <pubDate>Fri, 06 Mar 2009 15:11:13 GMT</pubDate>
      <guid>https://trid.trb.org/View/884662</guid>
    </item>
    <item>
      <title>Integration of the Miami Intermodal Center--Earlington Heights Connector within an Operating Metrorail Line – A Systematic Approach</title>
      <link>https://trid.trb.org/View/789802</link>
      <description><![CDATA[Many mature rapid transit systems throughout North America are being extended to provide direct airport access, and to accommodate and stimulate development. Miami-Dade Transit is one example, where the People’s Transportation Plan 2030 has identified up to 88.9 miles of new countywide rapid transit lines. The locally funded initial 2.4-mile long segment, the Miami Intermodal Center (MIC)-Earlington Heights (EHT) Connector, expected to be completed in 2009, will provide a long awaited connection to the MIC, a proposed regional transportation hub that will serve the Miami International Airport (MIA). Concurrently, Miami Dade Transit (MDT) has initiated a program to overhaul its existing fleet of 136 rapid transit cars. The North Corridor (9.5 miles) and the East-West Corridor (17.2 miles) are scheduled for completion shortly thereafter. This paper describes the exciting challenges facing transit system expansions. The focus is on the systematic approach and methodology that is used to perform the operating System design, manage interfaces between the operating System and the fixed facilities and incorporate operations and maintenance requirements. Impact of latest standards on the design will be presented. The technical challenges of integrating the communications elements using Gigabit Ethernet in a legacy SONET OC-3 based communications are discussed. Traction power system design and integration with the existing system are presented, along with train control proposed upgrades, cut-over of the modified Earlington Heights interlocking, and Control Center integration. Finally, corrosion control design and associated fixed facilities interface measures are presented and discussed.]]></description>
      <pubDate>Fri, 29 Sep 2006 10:37:45 GMT</pubDate>
      <guid>https://trid.trb.org/View/789802</guid>
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