Dynamic and time-dependent trip planning

Par Safia Kedad-Sidhoum , 15 octobre, 2016

Company
Xerox Research Centre Europe was created in 1993 to conduct breakthrough research that would create innovative document technology and support Xerox developing service activities. Today, over half of Xerox’s revenue comes from a broad range of services including managed print, healthcare, transportation, customer care, information technology and government.

Description
As both historical and real-time data are available for more and more urban areas, integrating either one or the other in trip planning algorithms has received a wide interest in the literature in the past few years. Xerox Research Centre Europe (XRCE) has developed its own trip planner (http://www.xrce.xerox.com/Research-Development/Industry-Expertise/Intel…), which integrates both dynamic and time-dependent data. The Trip Planner team of the Data Intelligence group is pursuing research to improve models and algorithms, take into account additional data and enhance user personalization and experience.
The aim of the internship is to join the Trip Planner team for working on time-dependent dynamic shortest path problems. Models and algorithms will be proposed and tested in the context of the current solution.

Requirements
As part of the 2nd year of your Master Degree, or final year of your Engineering School, you are looking for an internship lasting 5 or 6 months. Ideally, your diploma has a major in computer science and/or applied mathematics with some courses on operational research topics.
As prototypes are to be implemented, working knowledge of C++ is a plus and the candidate must be autonomous and motivated by optimization, innovation and research.

Duration: 5-6 months
Starting: Anytime

Lieu
XRCE à Meylan
Thématiques
Encadrant
Vassilissa Lehoux
Référent universitaire
Safia Kedad-Sidhoum
Tags
Attribué
Non
Année
2017