60 citations · 163 across the 27 of their papers we have counts for
8 papers · 1 filter
Combinatorial Optimization enriched Machine Learning to solve the Dynamic Vehicle Routing Problem with Time Windows
Léo Baty, Kai Jungel, Patrick S. Klein +2
With the rise of e-commerce and increasing customer requirements, logistics service providers face a new complexity in their daily planning, mainly due to efficiently handling same…
Learning-based Online Optimization for Autonomous Mobility-on-Demand Fleet Control
Kai Jungel, Axel Parmentier, Maximilian Schiffer +1
Autonomous mobility-on-demand systems are a viable alternative to mitigate many transportation-related externalities in cities, such as rising vehicle volumes in urban areas and tr…
Driver-aware charging infrastructure design
Stefan Kober, Maximilian Schiffer, Stephan Sorgatz +1
Public charging infrastructure plays a crucial role in the context of electrifying the private mobility sector in particular for urban regions. Against this background, we develop…
Optimizing intermodal transportation networks at scale via column generation
Benedikt Lienkamp, Maximilian Schiffer
In light of the need for design and analysis of intermodal transportation systems, we propose an algorithmic framework to determine the system optimum of an intermodal transportati…
Robust Charging Network Planning for Metropolitan Taxi Fleets
Gregor Godbersen, Rainer Kolisch, Maximilian Schiffer
We study the robust charging station location problem for a large-scale commercial taxi fleet. Vehicles within the fleet coordinate on charging operations but not on customer acqui…
Driver Routing and Scheduling with Synchronization Constraints
Pia Ammann, Rainer Kolisch, Maximilian Schiffer
This paper investigates a novel type of driver routing and scheduling problem motivated by a practical application in long-distance bus networks. A key difference from other crew s…
Designing Tractable Piecewise Affine Policies for Multi-Stage Adjustable Robust Optimization
Simon Thomä, Grit Walther, Maximilian Schiffer
We study piecewise affine policies for multi-stage adjustable robust optimization (ARO) problems with non-negative right-hand side uncertainty. First, we construct new dominating u…
Online Traffic Routing: Deterministic Limits and Data-driven Enhancements
Devansh Jalota, Dario Paccagnan, Maximilian Schiffer +1
Over the past decade, GPS enabled traffic applications, such as Google Maps and Waze, have become ubiquitous and have had a significant influence on billions of daily commuters' tr…