Course Name：MODELING AND OPTIMIZATION FOR TRANSPORTATION RESEARCH
Lecturer: MIRCHANDANI PITU BHAGWANDAS
Time: Jun 27, 2016 -Jul 1, 2016 13:10-16:40
Venue: Rm 211, CTC College Building
Course Outline：
MODELING AND OPTIMIZATION FOR TRANSPORTATION RESEARCH
1.Introduction to Network Models in Transportation (7 hours)
I.How we may conceptualize and analyze problems in Transportation
II.Networks Models for Logistics, Traffic Flow and Mixed Flows
III.Fundamentals of traffic flow theory and network flows
(Review of classical network flow models; continuous flow versus discrete flow; vehicular traffic flow theory; simulation of traffic flow.)
2.Modeling and Analysis for Modern Transportation & Intelligent Transportation Systems (7 hours)
I.Transportation planning and the role of ITS data
II.Role of sensors and the design of their configuration
III.Traffic Operations:
(Review of traffic control; ITS and real-time traffic control; ramp-metering; dynamic traffic assignment, incident management; evacuation management}
IV. Role of Simulation Modeling
3.Location of Sensors (1.5 hours)
4.Optimizing flows in traffic networks (1.5 hours)
5.Cyber-physical systems for traffic management (1.5 hours)
6.New challenges from new EMERGING technologies (1.5 hours)
I.Connected Vehicles
II.Automated Vehicles
III.Drones
Course's Profile:
DR. PITU B. MIRCHANDANI
Education
Sc.D., Operations Research, Massachusetts Institute of Technology, January 1975.
S.M., Aeronautics & Astronautics (Man-Machine Systems), MIT, June 1971.
M.S., Engineering (Control Systems), Univ.ofCaliforniaatLos Angeles, Dec. 1967. University Fellow.
B.S.,(Highest Honors) Engineering,UniversityofCaliforniaatLos Angeles, September 1966.
Research and Teaching Experience
Development of Theory, Models and Algorithms for: (1) optimization, (2) data mining, estimation & prediction, (3) dynamic games, (4) real-time control of stochastic systems, and (5) logistics, routing, location and scheduling.
Recent Applications in: (1) transportation planning models and traffic operations, (2) integrated real-time data-driven logistics, (3) cyber-physical transportation systems, (4) design of infrastructure for electric vehicles , and (5) logistics models for operating self-driving vehicle fleets.
Some Courses Taught: Network Optimization; Fundamentals of Optimization, Stochastic Systems;Decision-making under Uncertainty; Location & Logistics; Urban Service Systems; Transportation Technologies and Systems; Systems Analysis of Public Sector Problems.
Academic Experience
2009-Present:ArizonaStateUniversity,Tempe,Arizona
Professor, Computing, Informatics and Decision Systems Engineering
AVNET Chair for Supply Chain Networks (2104-date)
Director, ATLAS Research Laboratory,ArizonaStateUniversity
Senior Sustainability Scientist – ASU GlobalInstituteofSustainability
2009-PresentDenmarkTechnical University, Visiting Professor (summer), Department of Transport