inviting applications for an open Ph.D. position.
*Title*: Real-Time Adaptive Routing of Connected Vehicles
*Description*: Connected vehicle technologies will enable safe,
interoperable, networked wireless communications among vehicles, the
infrastructure, and passengers' personal communications devices. They
will enable a broad range of new online services for making road traffic
safer, smarter and greener. In particular, these technologies will
provide a connected, datarich
travel environment based on information collected in realtime from
thousands of vehicles. One such example on an enhanced driving
experience is realtime travel time information on roads segments. The
collection of this information will enable the service provider to give
advance warning to drivers of the state of congestion on the roads, and
suggest alternative routes to them.
The goal of this thesis is to design new traffic management schemes that
will use the real-time collected data to suggest shorter alternate
routes to drivers in order to reduce their journey times. Solutions
based on Machine Learning techniques that take into account previous
behaviour of drivers will be explored. In addition, any new technology
for such services will be
adopted only progressively by users. Some of the questions that arise in
this context are : what is the proportion of drivers that need to adopt
this technology in order to benefit a large fraction of drivers? How
should drivers react if they get conflicting suggestions from two
different service providers. These question shall be investigated within
the framework of game theory and distributed algorithms.
*Key words*: adaptive routing, game theory, connected vehicles
*Desired profile of candidate*: The candidate has (or is in the final
year) of an engineering degree or a master's degree in Computer Science,
Mathematics, or related areas. She/he has an inclination towards
mathematical analysis, and will have strong skills in programming
languages (C/C++/Java).
*Work conditions*: The position is funded by a CIFRE (Industrial)
contract on connected vehicles between LAAS-CNRS and Continental Digital
Services France (CDSF). The fellow will be employed on a fixed-term
contract of three years by CDSF, and will spend a part of their time at
LAAS-CNRS. The monthly salary will be negotiated with CDSF based on the
experience and qualifications of the fellow.
*Expected starting date*: 01 October, 2017.
Application material should include a CV, a letter of motivation, and
names and contact details of two referees should be uploaded via
https://app.laas.fr/boreal/web/fr/utilisateur/voir/these/afficher/166
*Contacts for queries*: Olivier BRUN (brun@laas.fr,
http://homepages.laas.fr/brun), and Balakrishna PRABHU
(balakrishna.prabhu@laas.fr, http://homepages.laas.fr/bala ).
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