Modeling and Simulation of Transportation Networks
Date: July 28-August 1, 2014 | Tuition: $3,200 | Continuing Education Units (CEUs): 2.8
*This course has limited enrollment. Apply early to guarantee your spot.
Application Deadline »
Modeling and simulation methods are essential elements in the design and operation of transportation systems. Congestion problems in cities worldwide have prompted, at all levels of government and industry, a proliferation of interest in Intelligent Transportation Systems (ITS) that include advanced supply and demand management techniques. Such techniques include real-time traffic control measures and real-time traveler information and guidance systems whose purpose is to assist travelers in making departure time, mode, and route choice decisions. Transportation researchers have developed models and simulators for use in the planning, design, and operations of such systems. This course draws heavily on the results of recent research and is sponsored by the Intelligent Transportation Systems Laboratory of the Massachusetts Institute of Technology.
The course studies theories and applications of transportation network demand and supply models and simulation techniques. It provides an in-depth study of the world's most sophisticated traffic simulation models, demand modeling methods, and related analytical techniques, including discrete choice models and their application to travel choices and driving behavior; origin-destination estimation; prediction of traffic congestion; traffic flow models and simulation methods (microscopic, mesoscopic, and macroscopic); and alternative dynamic traffic assignment methods.
Fundamentals: Core concepts, understandings, and tools (20%)
Latest Developments: Recent advances and future trends (60%)
Industry Applications: Linking theory and real-world (20%)
Lecture: Delivery of material in a lecture format (100%)
Introductory: Appropriate for a general audience (25%)
Specialized: Assumes experience in practice area or field (50%)
Advanced: In-depth explorations at the graduate level (25%)
- Understand transportation network demand and supply models.
- Distinguish among alternative approaches to dynamic traffic assignment and traffic simulation.
- Assess the advantages and disadvantages of alternative network modeling and simulation methods.
WHO SHOULD ATTEND
This program is intended for analysts, engineers, managers, and planners, as well as industry, government, and academic researchers who seek to understand, analyze, and predict performance of transportation systems. Participants with backgrounds in diverse areas such as traffic engineering, systems engineering, transportation planning, operations management, operations research, and control systems are welcome.
The course consists of a series of lectures, including software demonstrations and case studies that develop the concepts and techniques and demonstrate their applications.
The following lecture topics may be addressed as part of the course:
- Introduction to Transportation Network Models
- Traffic Flow Theory and Simulation Approaches
- Microscopic, Mesoscopic, and Macroscopic Traffic Simulation Models.
- Network Supply Models: Static and Dynamic
- Behavior in Networks
- Discrete Choice Analysis
- Route and Departure Time Choice
- Estimation Methods of Origin to Destination Flows from Traffic Counts
- Prediction of Origin to Destination Flows
- Microsimulation of Users' Behaviors
- Users' Response to ITS
- Supply/Demand Interactions, Day-to-Day Adjustment Processes, and Equilibrium Models
- Application for Real-Time Systems
- Simulation-based Dynamic Traffic Assignment Algorithms
- Evaluation of Dynamic Traffic Assignment Models
- Multimodal Networks with Scheduled Services
- Application of Modeling and Simulation to Traffic Management
- Calibration and Validation of Traffic Simulation Models
Course schedule, registration times, and Special Events
Class runs 9:30 am - 5:00 pm every day.
Registration is on Monday morning from 8:30 - 9:00 am.
Special events include a reception for course participants and faculty on Monday night and a dinner on Thursday evening. All evening activities are included in tuition.
Senior Specialist, Tennessee Valley Authority
“The MIT short course far exceeded the experience at other classes. The environment and instructor skills were excellent.”
Assistant Professor, University of Delaware
“In general, the quality level of the instructors made the course. To have 5 days of lectures from the academics who are advancing the state of the art instead of talking about the state of the practice was extremely beneficial.”
Senior Support Engineer, Citilabs
“Positive; a unique opportunity to learn from some of the best minds in my field and discuss ideas with peers.”
Assistant Staff Scientist, E2ManageTech
“Great overview with specificity of model design, confirmation, calibration, and application.”
owner, lucidata, inc.
“The instructors were experts in this field, and they obviously had practical experience, which enhanced the lectures, and made for interesting conversation.”
graduate student, karlsruhe institute of technology
“The lecturers were professional, the amount of work done was high and the course materials were good. Also the atmosphere and discussion were on a high professional level.”
urban transport economist, european investment bank
“Very high quality of lectures. Comprehensive overview of the state of the art in transportation modeling and simulation with a good balance of theory and practical applications.”
graduate student, royal institute of technology (KTH)
“Apart from being experts in the field, the lecturers managed to present the different topics in way that was understandable by all participants, taking into consideration the various knowledge background and interests of each participant.”
ABOUT THE LECTURERS
Professor Moshe Ben-Akiva, Director of the MIT ITS Laboratory, is the Lecturer-In-Charge. Guest lecturers may include: Ennio Cascetta (University of Naples/Ministry of Transport – Regione Campania, Italy), Pierluigi Coppola (University of Rome), Haris Koutsopoulos (KTH Royal Institute of Technology), and/or Hani Mahmassani (Northwestern University).
One full-tuition scholarship will be a warded to an outstanding doctoral student. Half-tuition scholarships are also available for doctoral students. To apply for the scholarship, please email a CV and a letter stating the relevance of the course to your research to email@example.com. The deadline to apply for the scholarship is June 15, 2014. Doctoral student scholarship applicants should not register for the course until the scholarship decisions have been released in early May.
Please contact Katie Rosa at firstname.lastname@example.org with any questions.
Discounts for Faculty
In addition, a limited number of partial-tuition scholarships are available for teaching faculty, rank of instructor or higher, at other educational institutions. Decisions are made on a rolling basis after submitting a course registration form and a Scholarship Request Form. Please note that these scholarships are only for tuition and do not cover travel, lodging, or other expenses associated with the course.
If you have any questions please contact the Short Programs office.
links & Resources
- MIT graduate transportation researchers reflect on work with Portugal
- The Future of Urban Mobility
- A Global Collaboration to Chart the Future of Urban Mobility
- Transportation, transformed
- The Taxi-Meter Effect - Why do consumers hate paying by the mile or the minute so much?
- PDF download - SMART – Future Urban Mobility
This course takes place on the MIT campus in Cambridge, Massachusetts. We can also offer this course for groups of employees at your location. Please contact the Short Programs office for further details.
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