Analytics and operations research in multi-modal transportation and logistics
313 Bell Hall and
225 Ketter Hall
Buffalo NY, 14260
Phone: (716) 645-3470
IE 322 Analytics and Computing for Industrial Engineers
Course description: The “big data revolution” has placed emphasis on computational techniques in Industrial Engineering. Large-scale data collection, processing, visualization and analysis are now commonplace among researchers and practitioners. Now more than ever, there is a need not only to develop new techniques, but also to implement and use them. The purpose of this course is to provide students with the knowledge and skills necessary to manage, manipulate, analyze, and derive insights from large data sets using IE related computational tools. Data and problems will be representative of typical problems faced by Industrial Engineers across a wide variety of industries including manufacturing, service, healthcare, and transportation industries.
CIE 573/IE 515 Transportation Analytics
(Fall 2012, Fall 2013, Fall 2014, Fall 2015)
Course description: This course aims to provide students with a general background of various statistical analysis techniques and data mining methods that are used in transportation systems. It covers various practical analytical topics in transportation and logistics, including model estimation, data analysis, traffic forecasting, and incident prediction. A broad range of transportation related techniques are covered in statistics, data mining and optimization skills, such as Logistic Regression, Poisson Regression, Time Series Modeling, Survival Analysis, Classification, and Clustering. Popular statistical modeling software will be used to solve various practical problems
CIE 572/IE 554 Transportation Systems Modeling and Control
(Spring 2013, Spring 2014)
Course description: The objective of this course is to introduce popular models and control methods for management and operation problems in modern urban transportation systems. The course will cover various modeling and simulation approaches used in studying dynamics and control in a transportation network, including macroscopic and microscopic traffic models, traffic signal control and optimization, user equilibrium and system optimum, incident management, railway operations and modeling, and state-of-art traffic simulation tools.
CIE 436/536 Traffic Operations and Design
(Spring 2015, Spring 2016)
Course description: This course addresses the design, operation, control and management of transportation facilities. Topics covered include geometric design of roadways, capacity analysis for freeway segments, signal timing and design, and intersection design and layout. Students will be introduced to a number of traffic analysis and traffic simulation software, including the VISSIM model and SYNCHRO/SimTraffic. As a part of this course, students will be required to undertake a comprehensive term project that would involve detailed analysis and/or simulation of a given transportation facility.