1 citations · 1 across the 4 of their papers we have counts for
4 papers
Quantifying the Improvement of Accessibility achieved via Shared Mobility on Demand
Severin Diepolder, Andrea Araldo, Tarek Chouaki +3
Shared Mobility Services (SMS), e.g., demand-responsive transport or ride-sharing, can improve mobility in low-density areas, which are often poorly served by conventional Public T…
Machine Learning Surrogates for Optimizing Transportation Policies with Agent-Based Models
Elena Natterer, Roman Engelhardt, Sebastian Hörl +1
Rapid urbanization and growing urban populations worldwide present significant challenges for cities, including increased traffic congestion and air pollution. Effective strategies…
A review on reinforcement learning methods for mobility on demand systems
Tarek Chouaki, Sebastian Hörl, Jakob Puchinger
Mobility on Demand (MoD) refers to mobility systems that operate on the basis of immediate travel demand. Typically, such a system consists of a fleet of vehicles that can be booke…
Graph Neural Network Approach to Predict the Effects of Road Capacity Reduction Policies: A Case Study for Paris, France
Elena Natterer, Roman Engelhardt, Sebastian Hörl +1
Rapid urbanization and growing urban populations worldwide present significant challenges for cities, including increased traffic congestion and air pollution. Effective strategies…