Using visual data mining in highway traffic safety analysis and decision making

An ongoing, two-fold challenge involves extracting useful information from the massive amounts of highway crash data and explaining complicated statistical models to inform the public about highway safety. Highway safety is critical to the trucking industry and highway funding policy. One method to analyze complex data is through the application of visual data mining tools. In this paper, we address the following three questions: a) what existing data visualization tools can assist with highway safety theory development and in policy-making?; b) can visual data mining uncover unknown relationships to inform the development of theory or practice? and c) can a data visualization toolkit be developed to assist the stakeholders in understanding the impact of publicpolicy on transportation safety? To address these questions, we developed a visual data mining toolkit that allows for understanding safety datasets and evaluating the effectiveness of safety policies

Integrating virtual reality and Building Information Modeling for improving highway tunnel emergency response training

During the last two decades, managers have been applying Building Information Modeling (BIM) to improve the quality of management as well as operation. The effectiveness of applications within a BIM environment is restrained by the limited immersive experience in virtual environments. Defined as the immersive visualization of virtual scenes, Virtual Reality (VR) is an emerging technology that can be actively explored to expand BIM to more usage. This paper highlights the need for a structured methodology for the integration of BIM/VR and gives a generic review of BIM and VR in training platforms for management in infrastructures. The rationales for fire evacuation training were formed based on the review. Then, methods of configuring BIM + VR prototypes were formulated for emergency response in highway tunnels. Furthermore, a conceptual framework integrating BIM with VR was proposed to enable the visualization of the physical context in real-time during the training. The result indicated that, extended to the training system of highway management via the “hand” of BIM, the VR solution can benefit more areas, such as the cost of fire evacuation drills in highway tunnels and the tendency of accidents to occur in the emergency response

Data on highway maintenance, rehabilitation, and mobility projects for integrated planning in Texas

State Highway Agencies (SHAs) have different functional groups that work towards improving the functional and physical performance of highway assets. These functional groups often propose multiple inter-related highway projects on the same network. However, the respective information systems of such functional groups lack interoperability capabilities between them. This data article is related to an earlier study by France-Mensah et al. (France-Mensah et al., 2017) that explored the integrated visualization of highway projects proposed by different functional groups working in the same highway agency. This dataset provides a spatially integrated set of maintenance and capital planning projects which is rarely available due to organizational silos which often exist in highway agencies. The data includes approximately 700 highway projects with over 16 attributes that includes spatial, temporal, cost, and description attributes. The highway projects are located in the Fort Worth District of the Texas Department of Transportation (TxDOT) which is responsible for a large network (approximately 9000 lane miles) of highway assets. The agency currently oversees around $4 billion in construction projects and spends around$120 million annually for asset preservation. An analysis of the fund allocations categorized by different project types for pavement and bridge assets is presented. The data presented can be used to compare competing approaches or policies for cross-asset allocation, spatial-temporal projects coordination, and safety planning in the infrastructure management domain.Civil, Architectural, and Environmental Engineerin

A study of the relationship between the use of GIS and project success in selected construction organizations

This survey research effort investigated the relationship between 11 selected Geographic Information System (GIS) functions and three (time, cost, and quality) highway and transportation construction-project success criteria. The population included engineers and information technology professionals in the United States who worked in the highway and transportation area. The sample included members of various appropriate email groups. No significant relationship between GIS function use and construction project success criteria (time and cost) was found. The third success criterion (customers specification−quality) was not tested because of the lack of variability of the responses. There were significant differences between organizations that focused on highway, street, road, and public sidewalk jobs and other construction organizations that focused on different construction jobs as related to the following two GIS functions: Terrain Modeling and Traffic Management. Some functions that were very close to the .05 level of significance included Estimating Project Costs, Terrain Analysis, 2D and 3D Visualization, and Route/Site Selection. Recommendations included the following: (a) Engineers and managers should consider using GIS functions for highways, streets, roads, or public sidewalk projects; (b) Special attention should be given to ensuring that appropriate GIS training is provided for all levels in the organization

Stacking-based visualization of trajectory attribute data

Visualizing trajectory attribute data is challenging because it involves showing the trajectories in their spatio-temporal context as well as the attribute values associated with the individual points of trajectories. Previous work on trajectory visualization addresses selected aspects of this problem, but not all of them. We present a novel approach to visualizing trajectory attribute data. Our solution covers space, time, and attribute values. Based on an analysis of relevant visualization tasks, we designed the visualization solution around the principle of stacking trajectory bands. The core of our approach is a hybrid 2D/3D display. A 2D map serves as a reference for the spatial context, and the trajectories are visualized as stacked 3D trajectory bands along which attribute values are encoded by color. Time is integrated through appropriate ordering of bands and through a dynamic query mechanism that feeds temporally aggregated information to a circular time display. An additional 2D time graph shows temporal information in full detail by stacking 2D trajectory bands. Our solution is equipped with analytical and interactive mechanisms for selecting and ordering of trajectories, and adjusting the color mapping, as well as coordinated highlighting and dedicated 3D navigation. We demonstrate the usefulness of our novel visualization by three examples related to radiation surveillance, traffic analysis, and maritime navigation. User feedback obtained in a small experiment indicates that our hybrid 2D/3D solution can be operated quite well

WEB-GIS BASED BRIDGE INFORMATION DATABASE VISUALIZATION ANALYTICS AND DISTRIBUTED SENSING FRAMEWORK

The national bridge system plays very important role in society operations ensuring mobilities that can sustain social and economic growth. Recent increasingly growing concerns about the safety of existing bridges are shared by highway agencies at all levels of government, including federal, state and municipal. To provide a user-friendly and effective environment and services for accessing and analyzing the National Bridge Inventory (NBI) database, a powerful bridge data management system needs be developed to assist the bridge managers or professionals to manage and maintain effectively and efficiently the national bridge system. The objective of this research is to develop a Web-GIS (geographic information system) based bridge information database visualization analytics and distributed sensing framework for nation-wide bridge system management. This is accomplished by integrating modern technologies including GIS, Internet, database, remote sensing, visualization, and smartphone technologies. The objectives of this study include: 1) establishment of a system framework for effective use of current available bridge condition data and volunteering sensing data; 2) development of visualization and visual analytic applications appropriate for bridge information; 3) development of user-defined criteria query for decision-making support; and 4) development of a remote sensing database to aid engineers and other professionals in accessing, retrieving and manipulating information from the bridge database. The citizen-based sensors for bridge monitoring utilize voluntary information-sharing from individuals as a monitoring technique. The Web-GIS based Bridge Management System (BMS) framework developed in this research allows centralized data collection and data visualization analytics at any place and any time. It is intended as a critical step towards rapid bridge diagnostics using an integrated sensing data approach. Current bridge management is predominantly at state level. Furthermore, by adopting the “citizen sensor” concept, public data can be added into the bridge database as additional information for bridge management. The outcome of this research is a framework called: “Bridge-WGI.” The six critical modules formed the core of the framework, which are: 1) bridge database systems; 2) general bridge information visualization; 3) bridge information analytical visualization; 4) user-defined criteria query; 5) citizen sensing application in bridge monitoring; and 6) remote sensing database application. The Bridge-WGI framework demonstrates the capabilities of Web-based BMS can be accomplished via the integration of several technologies. These capabilities include: 1) application of volunteering sensing; 2) flexible accessibility via Internet; 3) several advanced visualization of bridge data; 4) bridge data integration; and 5) online user- defined query for decision making support

AASHTO GIS-T Symposium 2022 FHWA Elevating Equity Workshop Proceedings Report

The Federal Highway Administration (FHWA) sponsored a four-hour interactive workshop on Elevating Equity through Spatial Analysis and Visualization at the American Association of State Highway and Transportation Officials\u2019 (AASHTO) 2022 Geographic Information Systems for Transportation (GIS-T) Symposium. The purpose of the workshop was to present and explore practices for advancing environmental justice (EJ) and equity using spatial analysis and visualization tools for better decisions in transportation planning, programming, project development, and operations. The workshop also provided an opportunity for peer learning, networking, and knowledge sharing