| 14h00 |
Antoine Tordeux, Forschungszentrum Julich GmbH and Bergische Universitat Wuppertal, Germany. Slides |
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Titre. Motion planning and control techniques for driver assistance systems and autonomous vehicles. |
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Résumé. Road driving assistance and automation systems are nowadays extensively developed in research centres and universities, and start to be commonly
proposed by manufacturers. Partial and full automated driving are subject to speculation on a new quality of road transportation in terms of safety, comfort, mobility,
performance and environment. We propose to review the literature of connected and autonomous vehicles, automated motion planning techniques and associated control and
safety processes. |
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Mots clefs. Road transportation; Driving assistance and automation systems; Connected and autonomous vehicles; Motion planning techniques; Traffic control and safety. |
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| 14h45 |
Walid Behiri et Sana Berraf, Esiee. Slides |
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Titre. Transport ferroviaire urbain de marchandises dans la perspective de mixité fret et voyageurs : modélisation et optimisation. |
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Résumé. This work studies an alternative way of transporting freight by using urban rail infrastructure. First, we identify and classify the different possibilities of
mixing freight and passengers using rail network. As a second contribution, several optimization problems are identified dealing with urban freight. In this study, the addressed
problem deals with a commuter line on which each station can be used as a loading/unloading platform for goods such as demand (goods boxes) is known in advance. As a third
contribution, a discrete event simulation model is developed to evaluate the proposed transport solution, where the operational transport of goods is performed using several
heuristics. Finally, a Mixed Integer Linear Program (MILP) model is proposed to optimize the process of goods transporting, with an objective of minimizing the total waiting
time of daily deliveries such that each box is transported from its departure station to its arrival station. Numerical results show that a MILP model is able to solve instances
whose size is close to realistic case in very short amount of time. |
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