activity
20192026
most citedFleet Sizing for the Flash Delivery Problem from Multiple Depots a Case Study in Amsterdam

1 citations · 1 across the 9 of their papers we have counts for

collaborators

10 papers

econ.GN2026

Strategic Optimization of Bus Systems with Stochastic Ridership

Haoran Zhao, Andres Fielbaum

In global metropolitan areas, public transport benefits from bus systems. Bus design widely applies theoretical models, which typically assume static ridership. However, ridership…

math.OC2026

The Increasing Gap Dynamics in a General Spatial Matching Model

Andrés Fielbaum, Roberto Cominetti, José Correa

We study a representation of a problem that appears in numerous transport systems: servers distributed over a given space (e.g., cars on an urban network), receive random reque…

eess.SY2025

Analytical modeling of a stop-less modular bus line: Optimization, feasibility, and economies of scale

Haoran Zhao, Neema Nassir, Andres Fielbaum

Conventional bus services often struggle with inefficiencies including prolonged dwell times at heavily used stops, especially for through passengers. A stop-less autonomous modula…

math.OC2024

Idle wage as a tool to regulate the relationship between ride-hailing platforms and drivers

Andrés Fielbaum, David Salas, Ruilin Zhang +1

Ride-hailing platforms typically classify drivers as either employees or independent contractors. These classifications tend to emphasize either wage certainty or flexibility, but…

cs.MA2023★ 1 cited

Fleet Sizing for the Flash Delivery Problem from Multiple Depots a Case Study in Amsterdam

Maximilian Kronmueller, Andres Fielbaum, Javier Alonso-Mora

In this paper, we present a novel approach for fleet sizing in the context of flash delivery, a time-sensitive delivery service that requires the fulfilment of customer requests in…

cs.MA2023

Pooled Grocery Delivery with Tight Deadlines from Multiple Depots

Maximilian Kronmueller, Andres Fielbaum, Javier Alonso-Mora

We study routing for on-demand last-mile logistics with two crucial novel features: i) Multiple depots, optimizing where to pick-up every order, ii) Allowing vehicles to perform de…

physics.soc-ph2021

New sources of economies and diseconomies of scale in on-demand ridepooling systems and comparison with public transport

Andres Fielbaum, Alejandro Tirachini, Javier Alonso-Mora

On-demand ridepooling (ODRP) can become a powerful alternative to reduce congestion and emissions, if it attracts private car users. Therefore, it is crucial to identify the strate…

eess.SY2021

Anticipatory routing methods for an on-demand ridepooling mobility system

Andres Fielbaum, Maximilian Kronmuller, Javier Alonso-Mora

One of the most relevant challenges regarding on-demand ridepooling relates to the spatial imbalances of the demand, which induce a mismatch between the position of the vehicles an…

cs.GT2021

How to split the costs among travellers sharing a ride? Aligning system's optimum with users' equilibrium

Andres Fielbaum, Rafal Kucharski, Oded Cats +1

How to form groups in a mobility system that offers shared rides, and how to split the costs within the travellers of a group, are non-trivial tasks, as two objectives conflict: 1)…

cs.DS2019

A Water-Filling Primal-Dual Algorithm for Approximating Non-Linear Covering Problems

Andrés Fielbaum, Ignacio Morales, José Verschae

Obtaining strong linear relaxations of capacitated covering problems constitute a major technical challenge even for simple settings. For one of the most basic cases, the Knapsack-…