Explainable Fleet Management
Martin Aleksandrov
Kommentar
To keep up with the demands of real-world truck logistics, package delivery, and ride-pooling, academic models and algorithms have to: (1) account for economic, safety, and environmental vehicle features; (2) include preferences of drivers, dispatchers, and customers; and (3) obey EU policy constraints. The research question is 'How can we integrate these into the design of emerging technologies?'.
The X-Student Research Group will first develop new models by collecting data from companies and surveys. Then, they will use ideas from the literature to analyze and develop algorithms for these models. Finally, to increase transparency, students will develop methods that explain their solutions. The deliverables will support companies.
Prerequisites are skills in mathematics, programming (e.g. Python, Java, C++), statistics (e.g. mean, standard deviation), or ethics. Activities include developing ideas, individual supervision, team tasks, invited talks, and conference participation.
Webex Link:
https://fu-berlin.webex.com/fu-berlin-en/j.php?MTID=mcfb644f363a02100b393f6c48456676a
Zoom link (alternative, if Webex does not work):
Join Zoom Meeting
https://us05web.zoom.us/j/86451580281?pwd=vkhvp3N2AdoqXjGaBs5eLxYmLr260O.1
Meeting ID: 864 5158 0281
Passcode: 5NJWUw
Institutional affiliation: Fachbereich Mathematik und Informatik, Institut für Informatik
Contact: aleksandrov.d.martin@gmail.com
Schließen13 Termine
Regelmäßige Termine der Lehrveranstaltung