Geographic Information Systems (GIS) Applications in Transportation Systems Engineering and Planning

What are the Goals?

• Have a thorough understanding of how Geographic Information System (GIS) can help in transportation studies
• Identify trends in traffic operations and safety performance measures, leading to improvement in transportation safety
• Detect root causes of traffic incidents and determine effective countermeasures
• Evaluate the performance of segments, corridors, networks, or regions
• Pinpoint hot and cold spots via density estimation heat mapping
• Conduct complex spatial analysis required to plan the transportation systems of the future
• Build dynamic and rich mapping applications
• Gain critical spatial thinking skills and become confident in spatial decision making

Who is this Training Course for?

• Traffic & Transportation Engineers and Professionals
• Professionals in Urban Planning and Development
• Project Managers in Infrastructure Solutions Consulting
• Data Analysts, Technicians in Traffic Management Centers
• Researchers and Consultants
• Practitioners in Traffic and Transport Engineering
• Traffic Safety Professionals
• Highway and Roadway Design Engineers

Daily Agenda

Day One: Geographical Information Systems (GIS) Fundamentals

• Geographic Information System (GIS) Applications in General
• Geographic Information System (GIS) Applications in Transportation Studies
• Major Functions of Geographic Information System (GIS)
• Relating Information from Multiple Sources
• Geographic Data and the Database
• Data Acquisition
• Data Integration
• Data Structure
• Data Modeling
• ArcMap Practice

Day Two: Understanding Geographic Information System (GIS) Maps

• Data Information
• Spatial data
• Geographic Information System (GIS) Database
• Raster vs. Vector Data
• GIS Shapefiles
• ESRI Shapefile format
• Displaying and Navigating Geographic Information System (GIS) Maps
• Feature Attributes
• Census Units
• The Point, Line, Polygon Data

Day Three: Data Collection

• Global Positioning System (GPS)
• Geographic Data Library
• Census Data
• Transportation Data and Analytics with Geographic Information System (GIS)
• Geospatial Crash Analysis

Day Four: Visualization and Data Processing

• Symbolizing and Labeling Geographic Information System (GIS) Data
• Continuous and Categorical Data
• Classification Methods
• Normalization
• Geographic Information System (GIS) Data Query
• Classification
• Identify, Select, Find
• Select Features by Attributes
• Joining and Relating Tables
• Spatial Joining
• Dissolving and Clipping layers

Day Five: Geospatial Analysis and Hotspot Analysis

• Introduction to Spatial Analysis
• Buffering Features
• Overlaying Data
• Spatial Analysis Methods to Identify Hotspots
• Fishnet-based Analysis
• Kernel Density Estimation