60 citations · 163 across the 27 of their papers we have counts for
12 papers · 1 filter
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…
Hybrid Multi-agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems
Tobias Enders, James Harrison, Marco Pavone +1
We consider the sequential decision-making problem of making proactive request assignment and rejection decisions for a profit-maximizing operator of an autonomous mobility on dema…
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…
Bilevel Optimization for Feature Selection in the Data-Driven Newsvendor Problem
Breno Serrano, Stefan Minner, Maximilian Schiffer +1
We study the feature-based newsvendor problem, in which a decision-maker has access to historical data consisting of demand observations and exogenous features. In this setting, we…
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…
Coordinating charging request allocation between self-interested navigation service platforms
Marianne Guillet, Maximilian Schiffer
Current electric vehicle market trends indicate an increasing adoption rate across several countries. To meet the expected growing charging demand, it is necessary to scale up the…
Support Vector Machines with the Hard-Margin Loss: Optimal Training via Combinatorial Benders' Cuts
Ítalo Santana, Breno Serrano, Maximilian Schiffer +1
The classical hinge-loss support vector machines (SVMs) model is sensitive to outlier observations due to the unboundedness of its loss function. To circumvent this issue, recent s…
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…
Optimal Decision Diagrams for Classification
Alexandre M. Florio, Pedro Martins, Maximilian Schiffer +2
Decision diagrams for classification have some notable advantages over decision trees, as their internal connections can be determined at training time and their width is not bound…
Coordinated Charging Station Search in Stochastic Environments: A Multi-Agent Approach
Marianne Guillet, Maximilian Schiffer
Range and charge anxiety remain essential barriers to a faster electric vehicle market diffusion. To this end, quickly and reliably finding suitable charging stations may foster an…
Electric vehicle charge scheduling with flexible service operations
Patrick Sean Klein, Maximilian Schiffer
Operators who deploy large fleets of electric vehicles often face a challenging charge scheduling problem. Specifically, time-ineffective recharging operations limit the profitabil…