GEOG-G 502 Introduction to Transportation Analysis
3 credits
- Prerequisite(s): None
- Delivery: On-Campus
Description
This course examines the movement of people, goods, and information over space using spatial analysis and planning techniques. We cover autonomous aerial and ground drones, and other road traffic in real time simulation and prediction models for urban areas using GISc and Simulation Science.
Learning Outcomes
- Simulation in transportation (autonomous vehicles, drones, urban informatics)
- Micro, Meso- & Macro Spatial Simulation
- 3D visualization IN OpenGL etc.
- Advanced topics in transportation analysis using GISc (Geographic Information Science), Optimization (spatial NP-hard problems, Integer Programming & Network Flows), Stochastic Optimization
- Advanced course for graduate students seeking greater understanding of transportation science, theory, technology, BIG DATA, SIMULATION SCIENCE and applications
- Exercises focus on SIMUATION, development, management, and analysis of BIG DATA. (Lecture/lab).
Policies and Procedures
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