Massachusetts Institute of Technology

14.385 Nonlinear Econometric Analysis (Fall 2003-2004)

Micro-econometric models, including large sample theory for estimation and hypothesis testing, generalized method of moments, estimation of censored and truncated specifications and duration models, nonparametric and semiparametric estimation, panel data, bootstrapping, and simulation methods. Methods illustrated with economic applications.

Instructor: Whitney Newey

1.206 Airline Schedule Planning (Spring 2002-2003)

Explores a variety of models and optimization techniques for the solution of airline schedule planning problems. Schedule design, fleet assignment, aircraft maintenance routing, crew scheduling, robust planning, integrated schedule planning, and other topics are addressed. Models and solution techniques are surveyed and state-of-the-art applications of these techniques to airline problems are presented.

Instructor: Cynthia Barnhart

2.098/15.093 Optimization Methods (Fall 2002-2003)

Subject introduces the principal algorithms for linear, network, discrete, nonlinear, dynamic optimization and optimal control. Emphasis on methodology and the underlying mathematical structures. Topics include the simplex method, network flow methods, branch and bound and cutting plane methods for discrete optimization, optimality conditions for nonlinear optimization, interior point methods for convex optimization, Newton's method, heuristic methods, and dynamic programming and optimal control methods.

    (a) Dimitris Bertsimas and John N. Tsitsiklis. Introduction to Linear Optimization Athena Scientific, 1997.
    (b) Dimitri P. Bertsekas. Nonlinear Programming Athena Scientific, 1999.

Instructor: Paul Tseng

1.258 Public Transportation Service and Operations Planning (Fall 2002-2003)

Evolution and role of urban public transportation modes, systems, and services, focussing on bus and rail. Description of technological characteristics and their impacts on capacity, service quality, and cost. Current practice and new methods for data collection and analysis, performance monitoring, route design, frequency determination, and vehicle and crew scheduling. Effect of pricing policy and service quality on ridership. Methods for estimating costs associated with proposed service changes.

Instructor: Nigel Wilson

6.431 Applied Probability (Fall 2000-2001)

Meets with undergraduate subject 6.041. Requires the completion of additional advanced home problems.
Modeling, quantification, and analysis of uncertainty. Formulation and solution in sample space. Random variables, transform techniques, simple random processes and their probability distributions, Markov processes, limit theorems, and elements of statistical inference. Interpretations, applications, and lecture demonstrations. Meets with graduate subject 6.431, but assignments differ.

Instructor: Dimitri Bertsekas

1.205 Advanced Demand Modeling (Fall 2000-2001)

Advanced theories and applications of behavior models for analysis and forecasting of demand of facilities, services, and products. Different advanced and topical subjects are presented each week. Topics vary each year. Typical topics include: linear and nonlinear latent variable models, estimation techniques with multiple data sources, joint discrete and continuous choice models, dynamic models, analysis of complex choices, estimation and forecasting with very large choice sets, multidimensional probabilistic choice models, advanced choice models including PROBIT, mixed LOGIT and LOGIT KERNEL, simulation methods, survey design, model transferability, and use of stated preference data. Required assignments: a paper review and a term paper. Alternate years.

Instructor: Moshe Ben-Akiva

1.203 Logistical and Transportation Planning Methods (Fall 2000-2001)

Quantitative techniques of operations research with emphasis on applications in transportation systems analysis (urban, air, ocean, highway, and pickup and delivery systems) and in the planning and design of logistically oriented urban service systems (e.g., fire and police departments, emergency medical services, and emergency repair services). Unified study of functions of random variables, geometrical probability, multi-server queuing theory, spatial location theory, network analysis and graph theory, and relevant methods of simulation. Computer exercises and discussions of implementation difficulties.

    Richard C. Larson and Amedeo R. Odoni. Urban Operations Research Prentice-Hall, 1981.

Instructors: Amedeo Odoni, Arnold Barnett and Richard Larson

6.855/15.082 Network Optimization (Spring 1999-2000)

Network models for industrial logistics systems, transportation systems, communication systems, and other applications. Emphasizes a rigorous treatment of algorithms and their efficiency—algorithms for shortest routes, maximum flows, minimum cost flows, traffic equilibrium, and network design. Implementation issues.

    Ravindra K. Ahuja, Thomas L. Magnanti and James B. Orlin. Network Flows: Theory, Algorithms and Applications Elsevier North-Holland, Inc., 1989.

Instructor: Andreas Shultz

1.204 Computer Algorithms for System Analysis (Spring 1999-2000)

Instructor: Ismail Chabini

1.202 Demand Modeling (Spring 1999-2000)

Theory and application of modeling and statistical methods for analysis and forecasting demand of facilities, services, and products. Topics include: review of probability and statistics; estimation and testing of linear regression models; theory of individual choice behavior; theory, estimation, and testing of discrete choice models (including logit, nested logit, GEV, probit, Logit Kernel and Mixed Logit); estimation under various sample designs and data collection methods (including revealed and stated preferences); aggregate forecasting methods; and matrix entry estimation methods. Lecture material is reinforced with case studies, which require specification, estimation, testing, and analysis of models using data sets from transportation and telecommunications applications.

    Moshe E. Ben-Akiva and Steven R. Lerman. Discrete Choice Analysis: Theory and Application to Travel Demand MIT Press, 1985.

Instructor: Moshe Ben-Akiva

1.225 Transportation Flow Systems (Fall 1999-2000)

Design, operation, and management of traffic flows over complex transportation networks. Covers two major topics: traffic flow modeling and traffic flow operations. Deterministic and probabilistic models, elements of queueing theory, and traffic assignment. Concepts are illustrated through various applications and case studies. Half-term subject offered second half of term.

Instructor: Ismail Chabini

1.224 Carrier Systems (Fall 1999-2000)

Carrier systems involve the design, operation, and management of transportation networks, assets, personnel, freight, and passengers. A number of different carrier systems are contrasted while models and tools for analyzing, optimizing, planning, managing, and controlling these systems are presented. Half-term subject offered second half of term.

Instructors: Cynthia Barnhart and Nigel Wilson

1.223 Transportation Policy, Strategy and Management (Fall 1999-2000)

A survey subject of current concepts, theories, and issues in strategic management of transportation organizations. Provides transportation logistics and engineering systems students with an overview of the operating context, leadership challenges, strategies, and management tools that are used in today's public and private transportation organizations. The following concepts, tools, and issues are presented in both public and private sector cases: alternative models of decision-making, strategic planning (e.g., use of SWOT analysis and scenario development), stakeholder valuation and analysis, government-based regulation and cooperation within the transportation enterprise, disaster communications, systems safety, change management, and the impact of globalization.

Instructors: Joseph Coughlin and Joseph Sussman

1.222 Transportation Demand and Economics (Fall 1999-2000)

Theory and applications concerning the demand and economics of transportation systems. Economic theories of the firm, the consumer and the market, cost models and production functions for passenger and freight demand, pricing theory and application to transportation systems, technological change, resource allocation, market structure and regulation in the transportation industry, and project evaluation for transportation systems. Half-term subject offered in the first half of term.

    (a) Kenneth A. Small. Urban Transportation Economics Harwood Academic Publishers, 1992.
    (b) Jose Gomez-Ibanez, William B. Tye and Clifford Winston (eds). Essays in Transportation Economics and Policy: A Handbook in Honor of John R. Meyer Brookings Institution Press, 1999.

Instructors: Moshe Ben-Akiva and Carl Martland

1.221 Introduction to Transportation Systems (Fall 1999-2000)

Introduces transportation as a large-scale, integrated system that interacts directly with the social, political, and economic aspects of contemporary society. Fundamental elements and issues shaping passenger and freight transportation systems. Underlying principles governing transportation planning, investment, operations, and maintenance. System performance and level-of-service metrics and the determinants of transportation travel demand. Design of transportation services and facilities for various modes and intermodal operations. Half-term subject offered in first half of term.

Instructor: Joseph Sussman

Indian Institute of Technology, Madras