<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>Trends in Human-Computer Interaction in Mobility for Users with Special Needs – A Literature Review</title>
      <link>https://trid.trb.org/View/2580265</link>
      <description><![CDATA[This paper analyzes the trends in the research on human-computer interaction for assistive systems in mobility between 2019 and 2024 based on a literature review. The study includes 181 papers from Scopus, IEEE Xplore, ACM Digital Library and Web of Science databases. The results reveal a focus on the target groups of elderly people, visual impairments and wheelchair users. In addition, trends in assistive technologies and methods of user participation are revealed.]]></description>
      <pubDate>Tue, 24 Mar 2026 13:08:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/2580265</guid>
    </item>
    <item>
      <title>Park-An: A Cloud-Based Service for Parking Pressure Analysis Based on Open and Municipal Data</title>
      <link>https://trid.trb.org/View/2580262</link>
      <description><![CDATA[Cities and municipalities face significant challenges in implementing an efficient municipal parking management system due to a lack of human and IT infrastructural resources to conduct data evaluations and build effective systems, as well as the lack of standards and APIs for efficient data sharing. Scattered and unstructured data in various formats and qualities hinder its integration with other open data sources. To address these challenges, we developed Park-an, a cloud-based service. It enables public administrators to upload, analyze, and visualize parking data in combination with other public datasets, such as OpenStreetMap (OSM). The prototype facilitates the identification of parking pressure through indicators and offers interactive visualization tools to enable better planning and decision-making. This paper outlines the software architecture of Park-an, which is based on microservices and is cloud-native, ensuring robustness and scalability. The primary feature of Park-an is the calculation of parking pressure using various indicators, such as the ratio of building area to parking area and geometric distances of points of interest (POIs) to parking spaces. The paper presents a demonstration of Park-an’s functionalities for urban parking planning and optimization based on three German cities.]]></description>
      <pubDate>Tue, 24 Mar 2026 13:08:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/2580262</guid>
    </item>
    <item>
      <title>Semantic Modelling of User and System Context for Control Centers</title>
      <link>https://trid.trb.org/View/2580268</link>
      <description><![CDATA[The functionality and operational flexibility of public transport systems strongly depend on Intermodal Transport Control Systems (ITCS), which is the key management element in public transport systems. However, the increasing number of new functions, multimodality, dynamic change and unforeseen situations give rise to the issue of static user interfaces in the control center becoming an impediment. Research in the frame of the project IADAPT on adaptive user interfaces in control center environments of public transport is therefore carried out. The aim is to research and develop a new generation of interactive control center systems of this ubiquitous system that react and adapt to users and situations as well as recommending measures and offering prognoses by artificial intelligence (AI). This requires both technology and models for the adaptation of the system (‘adaptivity’), and the implementation of user-centered methods, some of which require radical reconsideration for such adaptive user interfaces. This paper is essential for the development of an adaptive system, as it deals with a context model as a definition of the semantic nature of the system. For that, seven steps were used to develop an ontology with appropriate context factors.]]></description>
      <pubDate>Tue, 24 Mar 2026 13:08:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/2580268</guid>
    </item>
    <item>
      <title>Analysis of User Interactions with an Innovative Passenger Information System During Field Test</title>
      <link>https://trid.trb.org/View/2580259</link>
      <description><![CDATA[As part of our SmartMMI project, new technologies are being researched, from data collection and data integration to data visualization. During the field test, all interactions with the semi-transparent, multi-touch-enabled public displays called SmartWindow’s were stored in a database. Our contribution systematically analyzes the collected interaction data. This is realized through targeted SQL queries. In addition, evaluations and the created interactive visualizations are presented. The aim is to find out to what extent the collected users interaction data can be used to make statements about the mobility behavior of passengers and their willingness to accept or reject a ride. We report on the results of the interaction data analysis, the acceptance and usefulness of different interaction types. We also outline the effectiveness of the different interaction and visualization methods and the dependencies between those features as well as passenger types and public transport trip situations.]]></description>
      <pubDate>Tue, 24 Mar 2026 13:08:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/2580259</guid>
    </item>
    <item>
      <title>Develop an Interactive Unit Price Estimation and Visualization Tool: Final Report</title>
      <link>https://trid.trb.org/View/2606204</link>
      <description><![CDATA[The Texas Department of Transportation (TxDOT) determines unit prices of pay items using the historical bids-based estimation method and then develops an engineer’s project appraisal. The engineer's estimate is used to assess the bids and select the bidder. However, the unit price of a work item is heavily affected by various project-specific and external factors, including but not limited to the project location, the quantity of the work, project complexity, time factors, and macroeconomic conditions. Therefore, accurate and reliable unit price estimation based on these project-specific and external factors is vital for the optimum use of the available project budget. The project objectives included: (1) conducting an overview analysis of factors affecting unit prices, (2) identifying factors affecting unit prices in Texas, (3) creating a unit price estimation database, (4) creating a spatio-temporal unit price estimation model considering the factors affecting unit prices, (5) developing a GIS-based visualization tool, and (6) implementing, demonstrating, and validating the interactive unit price estimation and GIS-based visualization tool on six Receiving Agency’s projects. The models that are developed based on the identified factors affecting unit prices help enhance accurate and reliable unit price estimation. Moreover, the developed GIS-based unit price visualization tool can be used for a quick retrieval of unit price values across various geographical locations. The tool helps track changes in data over time, by county, and across projects, as well as changes in the quantity of work items.]]></description>
      <pubDate>Thu, 16 Oct 2025 17:02:36 GMT</pubDate>
      <guid>https://trid.trb.org/View/2606204</guid>
    </item>
    <item>
      <title>Implementation of the National Intercity Bus Atlas</title>
      <link>https://trid.trb.org/View/2577107</link>
      <description><![CDATA[This report documents the purposes and methods of implementing and maintaining the National Intercity Bus Atlas, an online interactive map and database of the nation’s intercity bus network. The report provides (1) a detailed account of data collection, training, and engagement activities used to instruct transportation service providers on the benefits of having their data on the Intercity Bus Atlas and (2) instructions on how to submit data using General Transit Feed Specification (GTFS), a user-facing platform for presenting transit schedule and route information. Further, the report documents potential applications of the Intercity Bus Atlas data in planning and policymaking. The report will be useful to state department of transportation (DOT) planners and intercity bus service providers seeking to develop and maintain the interactive online atlas of intercity bus transit services within the United States.]]></description>
      <pubDate>Mon, 21 Jul 2025 09:59:53 GMT</pubDate>
      <guid>https://trid.trb.org/View/2577107</guid>
    </item>
    <item>
      <title>Social media activities of airlines: What makes them successful?</title>
      <link>https://trid.trb.org/View/2548116</link>
      <description><![CDATA[This paper explores the use of social media by geographically diverse airlines and investigates how different airlines utilise different types of social media platforms to engage and interact with their audiences. Using manual data collection methods, the researchers gathered data from social media such as Facebook, Instagram, Twitter, LinkedIn, and TikTok, and categorized the data into coded groups based on the nature of the posts. The findings from this study highlight trends in social media usage amongst airlines, and also highlight social media platforms and social media post types that yield high levels of interaction between airlines and internet users. Furthermore, the study identifies areas of future potential growth on social media in terms of marketing.]]></description>
      <pubDate>Wed, 09 Jul 2025 13:59:32 GMT</pubDate>
      <guid>https://trid.trb.org/View/2548116</guid>
    </item>
    <item>
      <title>Interactive Graphics Intersection Design System (IGIDS) Enhancements</title>
      <link>https://trid.trb.org/View/2533925</link>
      <description><![CDATA[The Interactive Graphics Intersection Design System (IGIDS) is a computer software program developed for the Texas Department of Transportation (TxDOT) that assists engineers in the analysis and design of individual, at-grade intersections. IGIDS was initially developed under several RMC 3 – Geometric Design, Environmental, Hydraulics, and Right-of-Way projects. IGIDS is a MicroStation application which contains (1) geometric, traffic data, and signalization definition tools; (2) built-in analysis tools for vehicle turning templates; horizontal sight distance checking for stop sign, yield sign, and no control; and “Highway Capacity Manual” (HCM), Chapter 9 procedures; and (3) interfaces to external analysis programs for the TEXAS Model for Intersection Traffic (TEXAS), the TxDOT Automated Plan Preparation System (APP), and the Signal Operations and Analysis Package (SOAP). IGIDS can operate in English or metric units. IGIDS was recently enhanced by the addition of vertical sight distance checking within the horizontal sight triangle, the inclusion of pavement striping definition and tabulation, and the development of training materials.  Most TxDOT engineers now use GEOPAK for the geometric design of intersections. TxDOT Traffic Operations personnel generally have access to the GEOPAK design files for an intersection. IGIDS was enhanced to directly read the intersection geometry from an existing GEOPAK design file. The addition of this feature makes IGIDS much easier to use and reduce duplicated effort. In addition, most TxDOT engineers now prefer to use PASSER II-90 for signal timing optimization rather than using SOAP. IGIDS was enhanced by the addition of a PASSER II-90 interface. The addition of this feature increases the engineers’ ability to analyze and design an intersection for optimum operation. Since the last release of IGIDS, the HCM Chapter 9 procedures have been updated. IGIDS was modified to use the 1998 version of the HCM Chapter 9 procedures. Training modules for these enhancements were developed and added to the training course previously developed for IGIDS. In addition, each training module was updated to reflect recent experience using web-based training. Finally, a test training session was held to evaluate the training materials and procedures.]]></description>
      <pubDate>Mon, 07 Apr 2025 18:37:29 GMT</pubDate>
      <guid>https://trid.trb.org/View/2533925</guid>
    </item>
    <item>
      <title>Interactive Graphics Intersection Design System (IGIDS): Project Summary Report</title>
      <link>https://trid.trb.org/View/2533923</link>
      <description><![CDATA[The Interactive Graphics Intersection Design System (lGIDS), a software package that operates on personal computers and workstations, has been developed to assist engineers in the analysis and design of isolated, at-grade intersections. This report serves as the project's final summary report.]]></description>
      <pubDate>Mon, 07 Apr 2025 18:37:29 GMT</pubDate>
      <guid>https://trid.trb.org/View/2533923</guid>
    </item>
    <item>
      <title>Interactive Graphics Intersection Design System (IGIDS) Users Manual: Update to Appendix C</title>
      <link>https://trid.trb.org/View/2533924</link>
      <description><![CDATA[The Interactive Graphics Intersection Design System (IGIDS) is a computer software program developed for the Texas Department of Transportation (TxDOT) that assists engineers in the analysis and design of individual, at-grade intersections. IGIDS was initially developed under several RMC 3 – Geometric Design, Environmental, Hydraulics, and Right-of-Way projects. IGIDS is a MicroStation application which contains (1) geometric, traffic data, and signalization definition tools; (2) built-in analysis tools for vehicle turning templates; horizontal sight distance checking for stop sign, yield sign, and no control; and “Highway Capacity Manual” (HCM), Chapter 9 procedures; and (3) interfaces to external analysis programs for the TEXAS Model for Intersection Traffic (TEXAS), the TxDOT Automated Plan Preparation System (APP), and the Signal Operations and Analysis Package (SOAP). IGIDS can operate in English or metric units. IGIDS was recently enhanced by the addition of vertical sight distance checking within the horizontal sight triangle, the inclusion of pavement striping definition and tabulation, and the development of training materials. Most TxDOT engineers now use GEOPAK for the geometric design of intersections. TxDOT Traffic Operations personnel generally have access to the GEOPAK design files for an intersection. IGIDS was enhanced to directly read the intersection geometry from an existing GEOPAK design file. The addition of this feature makes IGIDS much easier to use and reduce duplicated effort. In addition, most TxDOT engineers now prefer to use PASSER II-90 for signal timing optimization rather than using SOAP. IGIDS was enhanced by the addition of a PASSER II-90 interface. The addition of this feature increases the engineers’ ability to analyze and design an intersection for optimum operation. Since the last release of IGIDS, the HCM Chapter 9 procedures have been updated. IGIDS was modified to use the 1998 version of the HCM Chapter 9 procedures. Training modules for these enhancements were developed and added to the training course previously developed for IGIDS. In addition, each training module was updated to reflect recent experience using web-based training. Finally, a test training session was held to evaluate the training materials and procedures. This document updates Research Report 1308-1F Interactive Graphics Intersection Design User’s Manual - Appendix C, Center for Transportation Research, The University of Texas at Austin, December 1994.]]></description>
      <pubDate>Mon, 07 Apr 2025 18:37:28 GMT</pubDate>
      <guid>https://trid.trb.org/View/2533924</guid>
    </item>
    <item>
      <title>Interactive and Graphic Systems for Highway Location and Route Selection</title>
      <link>https://trid.trb.org/View/2264181</link>
      <description><![CDATA[Computer-assisted systems are fast becoming more of a necessity than just an expensive option. The price of acquiring such systems, although quite high, may often be offset by increases in productivity and reduction in work time, thus gaining significant net savings in the long run. This study presents and evaluates a technique in highway location and route selection that uses interactive and graphic systems. A system was developed that would provide a means for efficient drawing conversion and data manipulation. Hand-drawn alignment sketches on maps were easily converted into vector drawings and all alignment coordinate and element data were stored in a data bank. Also included in the system was the evaluation module for the generated vector representation of alignments. The concept of cost models was used for the evaluation procedures, where three-dimensional cost representations of the surrounding environs of the alignment were depicted. From these models, the total alignment costs may be calculated, which may then be used as a basis for selecting the best route. The system was found to be effective in evaluating and comparing results given different alignment schemes, based on the two test cases presented.]]></description>
      <pubDate>Tue, 18 Feb 2025 11:32:05 GMT</pubDate>
      <guid>https://trid.trb.org/View/2264181</guid>
    </item>
    <item>
      <title>Modernization of Iowa Transportation Program Management System</title>
      <link>https://trid.trb.org/View/2505754</link>
      <description><![CDATA[The TR-726 research project investigates and produces the modernization of the Iowa Transportation Program Management System, TPMS. This report describes TPMS background information, application development processes, and User Manual and Developmental Specifications used to create the web-based application modernization and incorporated improvements. The three distinct sections of this report include research activities, a User Manual, and functional/technical specifications for the newly created TPMS 2020 application. TPMS 2020 is a modern multi-modular web-based software application designed to augment programming, review and acceptance, and project development requirements of Iowa’s transportation projects. The full functional process spans project concept development and programming to project turn-in for letting, with all intermediate milestone submittals and reviews documented throughout the process. The TPMS 2020 processes allow for coordinated interaction of multi-agency participants including local, regional, and state representatives. The final TPMS 2020 product will be housed and maintained by the ICEA Service Bureau, with access to all authorized users through a secure user interface, and will accommodate “real-time” secure API data exchange with the Iowa DOT PPMS software application.]]></description>
      <pubDate>Thu, 06 Feb 2025 10:49:30 GMT</pubDate>
      <guid>https://trid.trb.org/View/2505754</guid>
    </item>
    <item>
      <title>Interaction-Aware Trajectory Prediction for Autonomous Vehicle Based on LSTM-MLP Model</title>
      <link>https://trid.trb.org/View/2408110</link>
      <description><![CDATA[Trajectory prediction is one of the core functions of the autonomous vehicle, it greatly affects the rationality and safety of the decision-making module and the planning module. This is challenging because the motion of the target vehicle is affected by the interactive behavior of its surrounding vehicles. In this paper, the authors propose the interaction-aware trajectory prediction model for autonomous vehicles based on LSTM-MLP model. The encoder module encoded the history trajectories to extract the dynamic feature of each vehicle in the scenarios by the LSTM model, and then the interaction module captures the interactive feature using the MLP-Max Pooling model. In the end, the decoder module decodes the fusion feature which consists of the dynamic feature of the target vehicle and the interactive feature to output the future trajectory based on the LSTM model. The experiments are carried out on the publicly available NGSIM dataset, and the results show that the proposed model outperforms prior works in terms of RMSE value.]]></description>
      <pubDate>Mon, 30 Dec 2024 11:16:52 GMT</pubDate>
      <guid>https://trid.trb.org/View/2408110</guid>
    </item>
    <item>
      <title>Leaders or Team-Mates: Exploring the Role-Based Relationship Between Multiple Intelligent Agents in Driving Scenarios</title>
      <link>https://trid.trb.org/View/2408034</link>
      <description><![CDATA[Intelligent agents (IAs) are increasingly used in vehicles and associated services (e.g. navigation, entertainment) to enhance user experience, as IAs were applied to the car and turned the vehicle into a service platform under the rapid development of the intellectualized and connected vehicle. However, various IAs may be employed by other services and devices. In the case of in-vehicle cross-device interaction, when users interact simultaneously with multiple services or devices, the actions and decisions of one IA may conflict with those of others. This paper presents a role-based relationship framework to resolve potential conflicts between different IAs in the driving scenarios. The article discusses four types of IA relationships: Partnership, Representative, Subordinate, and Co-embodiment. To examine people's perceptions and attitudes towards different types of relationships, the authors apply an evaluation system and conduct user studies (N = 30). In two scenarios (Navigation Plan & Music Switching), Participants are required to engage in conversations with IAs based on various types of relationships. Data analysis and user interviews show that Partnership is gaining popularity in leisure and entertainment settings. Moreover, Representative is more effective in efficiency-oriented use cases. In addition, the research on driver's attention behavior suggests that Representatives can convince the driver to focus on the road more efficiently in navigation scenarios than in music settings. After evaluating the different role-based relationships of IAs, design recommendations for user interactions with multiple IAs in driving scenarios are offered.]]></description>
      <pubDate>Mon, 30 Dec 2024 11:16:52 GMT</pubDate>
      <guid>https://trid.trb.org/View/2408034</guid>
    </item>
    <item>
      <title>Research on Personality Traits of In-Vehicle Intelligent Voice Assistants to Enhance Driving Experience</title>
      <link>https://trid.trb.org/View/2407609</link>
      <description><![CDATA[Despite the rapidly expanding research on in-car intelligent voice assistants, relatively little attention has been paid to the study of their personality traits and how to improve the user’s emotional experience by cutting through from this perspective. In this study, first, an exploratory interview-based study is conducted to identify key traits that elicit driver emotions and five personality traits that can be used in in-car intelligent voice assistants: emotional enrichment, emotional expressiveness, persona congruence, empathic expressiveness, and user impressions. Second, an online survey-based study is conducted to investigate how the above five performance dimensions that focus on the degree of personification of intelligent assistants can be incorporated into smart car voice interaction systems in different scenarios. Finally, the ideal use cases for each personality trait are investigated, as well as how in-car intelligent voice assistants can apply the corresponding trait dimensions according to the current real-time driving situation. This study explores how the five personality trait dimensions can enhance driving users’ emotional experience and emotional connection with intelligent voice assistants by adding a pleasant attitude, a sense of pleasure, and can accurately grasp users’ emotional state and provide proactive services conducive to emotional appeasement and safe driving in navigation.]]></description>
      <pubDate>Mon, 30 Dec 2024 11:16:52 GMT</pubDate>
      <guid>https://trid.trb.org/View/2407609</guid>
    </item>
  </channel>
</rss>