Decision-aid methodologies in transportation

Slides

Title File
Discrete Choice Models
Introduction 01-introduction.pdf
Introduction to choice models 02-introChoice.pdf
Choice theory 03-choiceTheory.pdf
Binary choice 04-binary.pdf
Logit with multiple alternatives 05-multiple.pdf
Statistical tests 06-tests.pdf
Aggregation and forecasting 07-forecasting.pdf
Value of time 08-valueOfTime.pdf
Price optimization 09-priceOptimization.pdf
Operations Research
Introduction to decision science Introduction
Modeling Mathematical Modeling
Duality Duality
Mixed Linear Integer Programming Mixed Linear Integer Programming
Graph and Networks Graph and Networks
Case Study Case Study
Heuristics Heuristics
Lab projects Presentation of TRANSP-OR
Integrating Supply-Demand Relationship in the Design of Ideal Railway Timetables
Routing and Forecasting in the Collection of Recyclables
Passenger-oriented railway disposition timetables in case of severe disruptions

Schedule

Lectures:

Laboratories:

Tuesday 08:15 - 10:10

Tuesday 10:15 - 12:00

Rooms

Lectures:

Laboratories:

Final Exam

Date:

Schedule:

Room:

22 June, 2015

08:15 - 11:50

CM1104