Identifying the objectives of car drivers route choice behavior
Responsable(s) :
Evanthia Kazagli, Marija Nikolic, Michel Bierlaire
Description :
The goal of this project is to shed light on the underlying objectives of car drivers' behavior --- pertaining to their route choices --- when traveling from one location of a transportation network to another. The student will use clustering methods, defined on the basis of different measures of similarity, that are associated with potential objectives such as the minimization of the travel time, the length or the complexity of a route. The results of the clustering will be analyzed to draw insights into the use of specific objectives depending on the features of the trip, such as the origin and destination points, and the departure time. The project involves an initial stage of data processing. The student needs to have good programming skills (Matlab or equivalent) and good knowledge of statistics. Familiarity with SQL is a plus.
Collaboration with:
Type :
masters project, semester project
Pré-requis :
Matlab (good knowledge), statistics, SQL
Submitted on :
October 26, 2017