activity
20202025
most citedSpeed-up Heuristic for an On-Demand Ride-Pooling Algorithm

18 citations · 49 across the 11 of their papers we have counts for

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7 papers · 1 filter

eess.SY2024★ 3 cited

Semi-on-Demand Off-Peak Transit Services with Shared Autonomous Vehicles -- Service Planning, Simulation, and Analysis in Munich, Germany

Max T. M. Ng, Roman Engelhardt, Florian Dandl +3

This study investigates the implementation of semi-on-demand (SoD) hybrid-route services using Shared Autonomous Vehicles (SAVs) on existing transit lines. SoD services combine the…

eess.SY2024★ 2 cited

Semi-on-Demand Hybrid Transit Route Design with Shared Autonomous Mobility Services

Max T. M. Ng, Florian Dandl, Hani S. Mahmassani +1

Shared Autonomous Vehicles (SAVs) enable transit agencies to design more agile and responsive services at lower operating costs. This study designs and evaluates a semi-on-demand h…

eess.SY2023

Effects of Dynamic and Stochastic Travel Times on the Operation of Mobility-on-Demand Services

Fynn Wolf, Roman Engelhardt, Yunfei Zhang +2

Mobility-on-Demand (MoD) services have been an active research topic in recent years. Many studies focused on developing control algorithms to supply efficient services. To cope wi…

eess.SY2022★ 3 cited

Simulating Ride-Pooling Services with Pre-Booking and On-Demand Customers

Roman Engelhardt, Florian Dandl, Klaus Bogenberger

If private vehicle trips can be replaced, ride-pooling services can decrease parking space needed by higher vehicle utilization and increase traffic efficiency by increasing vehicl…

eess.SY2021

On the Dynamism of User Rejections in Mobility-on-Demand Systems

Florian Dandl, Roman Engelhardt, Klaus Bogenberger

Mobility-on-demand (MoD) systems, especially ride-hailing systems, have seen tremendous growth in recent years. These systems provide user-centric mobility services, whose users ex…

eess.SY2021

Regulating Mobility-on-Demand Services: Tri-level Model and Bayesian Optimization Solution Approach

Florian Dandl, Roman Engelhardt, Michael Hyland +3

The goal of this paper is to develop a modeling framework that captures the inter-decision dynamics between mobility service providers (MSPs) and travelers that can be used to opti…