57 citations · 130 across the 31 of their papers we have counts for
32 papers
Semi-on-Demand Transit Feeders with Shared Autonomous Vehicles and Reinforcement-Learning-Based Zonal Dispatching Control
Max T. M. Ng, Roman Engelhardt, Florian Dandl +2
This paper develops a semi-on-demand transit feeder service using shared autonomous vehicles (SAVs) and zonal dispatching control based on reinforcement learning (RL). This service…
Can Human Drivers and Connected Autonomous Vehicles Co-exist in Lane-Free Traffic? A Microscopic Simulation Perspective
Arslan Ali Syed, Majid Rostami-Shahrbabaki, Klaus Bogenberger
Recent advancements in connected autonomous vehicle (CAV) technology have sparked growing research interest in lane-free traffic (LFT). LFT envisions a scenario where all vehicles…
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…
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…
Multi-Task Lane-Free Driving Strategy for Connected and Automated Vehicles: A Multi-Agent Deep Reinforcement Learning Approach
Mehran Berahman, Majid Rostami-Shahrbabaki, Klaus Bogenberger
Deep reinforcement learning has shown promise in various engineering applications, including vehicular traffic control. The non-stationary nature of traffic, especially in the lane…
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…
Unlocking Past Information: Temporal Embeddings in Cooperative Bird's Eye View Prediction
Dominik Rößle, Jeremias Gerner, Klaus Bogenberger +3
Accurate and comprehensive semantic segmentation of Bird's Eye View (BEV) is essential for ensuring safe and proactive navigation in autonomous driving. Although cooperative percep…
Investigating Lane-Free Traffic with a Dynamic Driving Simulator
Maya Sekeran, Arslan Ali Syed, Johannes Lindner +2
Lane-free traffic (LFT) is a new traffic system that relies on connected and automated vehicles (CAV) to increase road capacity and utilization by removing traditional lane marking…
Data-driven Spatio-Temporal Scaling of Travel Times for AMoD Simulations
Arslan Ali Syed, Yunfei Zhang, Klaus Bogenberger
With the widespread adoption of mobility-on-demand (MoD) services and the advancements in autonomous vehicle (AV) technology, the research interest into the AVs based MoD (AMoD) se…
Autonomous Vehicles as a Sensor: Simulating Data Collection Process
Yunfei Zhang, Mario Ilic, Klaus Bogenberger
Urban traffic state estimation is pivotal in furnishing precise and reliable insights into traffic flow characteristics, thereby enabling efficient traffic management. Traditional…
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…
The Mobilität.Leben Study: a Year-Long Mobility-Tracking Panel
Allister Loder, Fabienne Cantner, Victoria Dahmen +1
The Mobilität.Leben study investigated travel behavior effects of a natural experiment in Germany. In response to the 2022 cost-of-living crisis, two policy measures to reduce trav…
Germany's nationwide travel experiment in 2022: public transport for 9 Euro per month -- First findings of an empirical study
Allister Loder, Fabienne Cantner, Lennart Adenaw +8
In spring 2022, the German federal government agreed on a set of policy measures that aimed at reducing households' financial burden resulting from a recent price increase, especia…
A nation-wide experiment, part II: the introduction of a 49-Euro-per-month travel pass in Germany -- An empirical study on this fare innovation
Allister Loder, Fabienne Cantner, Lennart Adenaw +3
In a response to the 2022 cost-of-living crisis in Europe, the German government implemented a three-month fuel excise tax cut and a public transport travel pass for 9 Euro per mon…
A nation-wide experiment: fuel tax cuts and almost free public transport for three months in Germany -- Report 5 Insights into four months of mobility tracking
Lennart Adenaw, David Ziegler, Nico Nachtigall +5
In spring 2022, the German federal government agreed on a set of measures that aim at reducing households' financial burden resulting from a recent price increase, especially in en…
A nation-wide experiment: fuel tax cuts and almost free public transport for three months in Germany -- Report 4 Third wave results
Allister Loder, Fabienne Cantner, Andrea Cadavid +4
In spring 2022, the German federal government agreed on a set of measures that aimed at reducing households' financial burden resulting from a recent price increase, especially in…
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…
A nation-wide experiment: fuel tax cuts and almost free public transport for three months in Germany -- Report 3 Second wave results
Allister Loder, Fabienne Cantner, Andrea Cadavid +4
In spring 2022, the German federal government agreed on a set of measures that aimed at reducing households' financial burden resulting from a recent price increase, especially in…
FleetPy: A Modular Open-Source Simulation Tool for Mobility On-Demand Services
Roman Engelhardt, Florian Dandl, Arslan-Ali Syed +4
The market share of mobility on-demand (MoD) services strongly increased in recent years and is expected to rise even higher once vehicle automation is fully available. These servi…
A nation-wide experiment: fuel tax cuts and almost free public transport for three months in Germany -- Report 2 First wave results
Fabienne Cantner, Nico Nachtigall, Lisa S. Hamm +7
In spring 2022, the German federal government agreed on a set of measures that aim at reducing households' financial burden resulting from a recent price increase, especially in en…
A nation-wide experiment: fuel tax cuts and almost free public transport for three months in Germany -- Report 1 Study design, recruiting and participation
Allister Loder, Fabienne Cantner, Lennart Adenaw +4
In spring 2022, the German federal government agreed on a set of measures that aim at reducing households' financial burden resulting from a recent price increase, especially in en…
Integrating Parcel Deliveries into a Ride-Pooling Service -- An Agent-Based Simulation Study
Fabian Fehn, Roman Engelhardt, Florian Dandl +2
This paper examines the integration of freight delivery into the passenger transport of an on-demand ride-pooling service. The goal of this research is to use existing passenger tr…
Competition and Cooperation of Autonomous Ridepooling Services: Game-Based Simulation of a Broker Concept
Roman Engelhardt, Patrick Malcolm, Florian Dandl +1
Autonomous mobility on demand services have the potential to disrupt the future mobility system landscape. Ridepooling services in particular can decrease land consumption and incr…