Urban Drone Simulations Syllabus
Instructor: Prof. Rudy Banerjee, PhD (GISc), MSU&RP (Transportation Planning), B.Arch
Course Description:
The following points summarize this course:
- SIMULATION IN TRANSPORTATION (AUTONOMOUS VEHICLES, DRONES, URBAN INFORMATICS)
- MICRO, MESO & MACRO SPATIAL SIMULATION
- 3D VISUALIZATION
- 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).
- Each week will include a lecture and a laboratory section. Readings from the text, outside sources, and supporting lecture materials will provide a fundamental background in Transportation Science. Lab assignments focus on building INFORMATICS skills.
Textbook: FREE: All materials will be provided by the instructor
Supplemental Textbook: FREE: https://transportgeography.org/?page_id=58
Supplement online text: FREE: http://www.spatialanalysisonline.com/HTML/index.html
SOFTWARE: FREE: https://www.caliper.com/transmodeler/default.htm & https://www.caliper.com/tcovu.htm
ASSESSMENT AND GRADING
|
ACTIVITIES |
POINTS |
|
10 Problem Sets/Exercises |
100 |
|
GRADUATE Student Project |
200 |
|
Graduate Final Grade |
Total/300 |
Calendar
| WEEK# | TIMELINE | |
| 1 | Ex0: INTRO TO GISc Software | |
| Ex1: Intro to Simulation | ||
| Ex2: Simulation- 3D Visualization | ||
| 4 | Ex3: Demand matrix generation (Origin Destination Trips) | |
| 5 | Ex4: Basic Network Analysis; Spatial Optimization (NP-Hard problems) | |
| 6 | Ex5: Stochastic Optimization for Simulation | |
| Makeup session & Project Pitch Intro | ||
| 8 | Project Selection | |
| Ex6: Pollution Estimation using simulation | ||
| 10 | SPRING BREAK | |
| 11 | Ex7: Autonomous Vehicles Simulation | |
| 12 | Ex8: Autonomous Vehicles in the Sky — DRONES | |
| Ex9: Traffic Signal Informatics (Design and testing) | ||
| 14 | Simulation in Transportation | Ex10: Final Project – Draft Presentations |
| 15 | Connected Cars: The future | Autonomous Electric Transport: The Future? A simulation project |
| 17 | TBA | TBA |
| 16 | FINAL Project Presentation | |
OTHER INFORMATION
Accommodations for Students with Disabilities
Every attempt will be made to accommodate qualified students with disabilities (e.g. mental health, learning, chronic health, physical, hearing, vision, neurological, etc.) You must have established your eligibility for support services through the appropriate office that services students with disabilities. Note that services are confidential, may take time to put into place, and are not retroactive. Captions and alternate media for print materials may take three or more weeks to get produced. Please contact your campus office ( ) as soon as possible if accommodation is needed.
Technology Accessibility Information
For accessibility information for persons using adaptive technology with Canvas, please visit Canvas Product Accessibility ( )
Technology Support
For Canvas questions please see the “Help” link at the top right of the page and check the UITS Knowledge Base for more information (type “Canvas” in the search box for a full list of Canvas-related topics).
If you have any other questions about or issues with any of the technology used in this course please contact the University Information Technology Services (UITS) support team. At IUPUI you can contact the support team by in the following ways (https://kb.iu.edu/d/abxl ( ) ):
Call 317-274-4357
Email ithelp@iu.edu
Live Chat at http://ithelplive.iu.edu/
Walk in at ICTC 129
Mon-Thurs 8am-9pm
Fri 8am-5pm
Sat 9am-3pm
Sun noon-4pm
Students Support Services
The Office of the Associate Vice President for Academic Support and Diversity provides resources and services to students in a variety of areas. For more information, resources, and contact information please see our official website: http://uc.iupui.edu/Student-Services/Student-Support-Services ( )
IUPUI policies regarding attendance, withdrawals, conduct, and religious holidays ( )
School Policies
There are a number of campus-wide policies governing the conduct of courses at the School of Liberal Arts: review these policies online ( ) .
Academic Misconduct
Students are expected to abide by the rules and regulations of Indiana University in accordance with the Code ( ) of Student Rights, Responsibilities, and Conduct ( ) . Cheating or plagiarism are unacceptable and may result in a failing grade for the course.
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