18 citations · 61 across the 13 of their papers we have counts for
8 papers · 1 filter
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…
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…
Predictive Vehicle Repositioning for On-Demand Ride-Pooling Services
Roman Engelhardt, Hani S. Mahmassani, Klaus Bogenberger
On-Demand Ride-Pooling services have the potential to increase traffic efficiency compared to private vehicle trips by decreasing parking space needed and increasing vehicle occupa…
Redesigning Large-Scale Multimodal Transit Networks with Shared Autonomous Mobility Services
Max T. M. Ng, Hani S. Mahmassani, Ömer Verbas +2
This study addresses a large-scale multimodal transit network design problem, with Shared Autonomous Mobility Services (SAMS) as both transit feeders and an origin-to-destination m…
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…
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…
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…
Speed-up Heuristic for an On-Demand Ride-Pooling Algorithm
Roman Engelhardt, Florian Dandl, Klaus Bogenberger
With ongoing developments in digitalization and advances in the field of autonomous driving, on-demand ride pooling is a mobility service with the potential to disrupt the urban mo…