01518624

Component

https://doi.org/10.3141/2460-19

The AASHTO software Safety Analyst is a state-of-the-art tool with significant capabilities and advanced analytical methods for comprehensive analysis and management of highway safety. However, this tool does not provide visualization capabilities. To address that limitation, this study proposes a visualization system for Safety Analyst that provides graphical displays, including location and color-coded information for each module. In addition, the system generates charts, which have various degrees of resolution and aggregation; tables; and a report summarizing safety performance measures. The system can use Google Maps or ESRI ArcGIS to generate the graphical displays. The advantage of using Google Maps is its simplicity; in contrast, the ArcGIS display provides additional modeling and computing capabilities of the GIS framework. All displays are very intuitive and can be customized according to user needs. Because the user can see the locations of every specific site, the displays facilitate analysis as well as the decision-making process. The visualization system interacts with Safety Analyst so that the user can access all tools and data throughout the entire modeling and analysis process.

01559855

14-5105

English

pp 176–185

2014

Transportation Research Record: Journal of the Transportation Research Board

9780309295529

Print

Figures (9) ; Maps; References (16) ; Tables (1)

Graphical user interfaces; Highway safety; Performance measurement; Safety management; Software; Visualization

ArcGIS; Google Maps; SafetyAnalyst (Software)

Data and Information Technology; Highways; Planning and Forecasting; Safety and Human Factors; I82: Accidents and Transport Infrastructure

PRP, TRIS, TRB, ATRI

Jan 27 2014 3:47PM

• Accessible and Practical Geocoding Method for Traffic Collision Record Mapping: Quebec, Canada, Case Study
• Adaptive Learning in Bayesian Networks for Incident Duration Prediction
• Automatic Extraction of Number of Lanes from Georectified Aerial Images
• Comparison of Sichel and Negative Binomial Models in Hot Spot Identification
• Data Business Plans and Governance Programs: Aligning Transportation Data to Agency Strategic Objectives
• Data Mining and Complex Network Algorithms for Traffic Accident Analysis
• Development of Alignment-Based Parametric Data Exchange Schema for Bridge Geometry
• Elemental Decomposition and Multicriteria Method for Valuing Transportation Infrastructure
• Empirical Mode Decomposition–Autoregressive Integrated Moving Average: Hybrid Short-Term Traffic Speed Prediction Model
• Evidence-Based Decision Making for Transportation Asset Management: Enhancing the Practice with Quality Evidence and Systematic Documentation
• Full-Body Occlusion Handling and Density Analysis in Traffic Video-Surveillance Systems
• Improved Computational Framework for Efficient Bayesian Probabilistic Inference of Damage in Truss Structures Based on Vibration Measurements
• Methodology to Map Routes from Truck Permit Database, Using a Linear Reference System and Network Analysis
• Moving the Goods: Performance Measures and the Value Proposition for Transportation Projects
• New Way to Utilize Remote Sensing Data: Automated Road Travel Survey
• Pavement Condition Monitoring with Crowdsourced Connected Vehicle Data
• Speed-Based Autosegmentation Method for Reporting Moving Ahead for Progress in the 21st Century Act Performance Measures
• Validation of Probabilistic Model for Design of Freeway Entrance Speed Change Lanes