Data Archiving and Analytics for Planning, Operations, and Safety
Length: Approximately 6 hours
Description
This course is designed to help you understand the benefits of creating an open and accessible data archive of your agency’s data. It will also explain the challenges you might face in trying to make your agency’s data more open and available to others, and ways in which you can mitigate those challenges. After showing you some real-world examples of how data can be leveraged for better decision making and analysis, we’ll discuss the pros and cons of building your very own archive, leveraging technologies that others have developed, or paying a consultant to help you with your archiving needs.
Objectives
Upon completion of the course, participants will be able to:
- Communicate the business cases for archiving data
- Understand the importance of visual analytic s in making your archive more valuable
- Identify real-world use-cases for leveraging archives for better decision making
- Evaluate the pros and cons of different archive implementation strategies
Outline (click to display)
LESSON 1. Importance of Archives
- Why Archive Your Data?
- Why Archive Operations Data?
- Why Archive Safety Data?
LESSON 2. Making the MOST of your Archive
- Elements of an Effective Archive
- Elements of an Effective Archive: Data
- Why Archive Operations Data?
- How Much Data?
- Putting the Numbers Into Perspective
- Fusion Tools
- Data Fusion
- Data Fusion Tools
- Analytics & Visualization Tools
- Why Visualization?
- Visualization: Tables
- Visual Analytics
- The Ultimate Challenge
- Visualization Tools Readily Available
- Domain Expertise
- Types of Domain Experts
- Insights
LESSON 3. Archives in Practice
- Problem Identification
- Project Prioritization & Bottleneck Ranking (Probe Data Analytics) Demo
- Before & After Studies
- MAARS Safety Data Analysis
- Safety Data Analysis (Police Crash Records) Demo
- Operations: After-Incident Analysis
- Incident Cluster Explorer (ATMS Incident/Event Analysis) Demo
- Operations: Snowmageddon 2011
- Work Zone Analytics
- Critical Work Zone Parameters
- Individual Work Zone
- Cameras and Graph Options
- Alert Interface
- Safety/Incident Data Analytics
- Incidents Clustering Explorer (ICE)
- Sensor Data Analytics Demo
- Analyzing Hierarchical Datasets (Airline Passengers) Demo
LESSON 4. Institutional Barriers
- Institutional Barriers
- Technical Barriers
- Sharing Data
- Motivation
- Strategies To Convince Agencies To Share Data
- The Carrot: Give Them the Tools!!
LESSON 5. Implementation
- Implementation Options
- In-house Recommendations
- Archiving Technologies
- Outsourced Recommendations
Contributor(s)
Michael Pack
Center for Advanced Transportation Technology (CATT) Lab