Search Results for author: Klaus Bogenberger

Found 21 papers, 0 papers with code

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

no code implementations23 Mar 2024 Max T. M. Ng, Florian Dandl, Hani S. Mahmassani, Klaus Bogenberger

This study examines the route design of a semi-on-demand hybrid route directional service in the public transit network, offering on-demand flexible route service in low-density areas and fixed route service in higher-density areas with Shared Autonomous Mobility Service (SAMS).

Temporal Enhanced Floating Car Observers

no code implementations6 Mar 2024 Jeremias Gerner, Klaus Bogenberger, Stefanie Schmidtner

Floating Car Observers (FCOs) are an innovative method to collect traffic data by deploying sensor-equipped vehicles to detect and locate other vehicles.

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

no code implementations10 Aug 2023 Fynn Wolf, Roman Engelhardt, Yunfei Zhang, Florian Dandl, Klaus Bogenberger

As travel times in real street networks are dynamic and stochastic, assigned routes considered feasible by the control algorithm in one time step might become infeasible in the next.

Travel Time Estimation

Predictive Vehicle Repositioning for On-Demand Ride-Pooling Services

no code implementations10 Aug 2023 Roman Engelhardt, Hani S. Mahmassani, Klaus Bogenberger

This imbalance would lead to low fleet utilization and high customer waiting times.

The Mobilität.Leben Study: a Year-Long Mobility-Tracking Panel

no code implementations9 Aug 2023 Allister Loder, Fabienne Cantner, Victoria Dahmen, Klaus Bogenberger

The announcement of a successor ticket to the 9-Euro-Ticket, the so-called Deutschlandticket, led to the immediate decision to continue the study.

Autonomous Vehicles as a Sensor: Simulating Data Collection Process

no code implementations9 Aug 2023 Yunfei Zhang, Mario Ilic, Klaus Bogenberger

Nevertheless, the relentless progression in autonomous driving technology has catalyzed an increasing interest in capitalizing on the extensive potential of on-board sensor data, giving rise to a novel concept known as "Autonomous Vehicles as a Sensor" (AVaaS).

Autonomous Driving Management

Germany's nationwide travel experiment in 2022: public transport for 9 Euro per month -- First findings of an empirical study

no code implementations14 Jun 2023 Allister Loder, Fabienne Cantner, Lennart Adenaw, Nico Nachtigall, David Ziegler, Felix Gotzler, Markus B. Siewert, Stefan Wurster, Sebastian Goerg, Markus Lienkamp, Klaus Bogenberger

We observe this natural experiment with a three-wave survey and a smartphone-based travel diary with passive tracking on an initial sample of 2, 261 participants with a focus on the Munich metropolitan region.

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

no code implementations7 May 2023 Allister Loder, Fabienne Cantner, Lennart Adenaw, Markus B. Siewert, Sebastian Goerg, Klaus Bogenberger

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 month valid on all local and regional services.

valid

A nation-wide experiment: fuel tax cuts and almost free public transport for three months in Germany -- Report 4 Third wave results

no code implementations19 Oct 2022 Allister Loder, Fabienne Cantner, Andrea Cadavid, Markus B. Siewert, Stefan Wurster, Sebastian Goerg, Klaus Bogenberger

Based on our results we conclude that when offering a 49EUR-Ticket as a successor to the 9~EUR-Ticket and a local travel pass for 30EUR/month more than 60% of all 9~EUR-Ticket owners would buy one of the two new travel passes.

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

no code implementations13 Oct 2022 Roman Engelhardt, Florian Dandl, Klaus Bogenberger

That the graph-based batch optimization is superior to a basic insertion method in terms of solution quality and run-time.

A nation-wide experiment: fuel tax cuts and almost free public transport for three months in Germany -- Report 3 Second wave results

no code implementations31 Aug 2022 Allister Loder, Fabienne Cantner, Andrea Cadavid, Markus B. Siewert, Stefan Wurster, Sebastian Goerg, Klaus Bogenberger

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 energy and mobility.

A nation-wide experiment: fuel tax cuts and almost free public transport for three months in Germany -- Report 2 First wave results

no code implementations21 Jun 2022 Fabienne Cantner, Nico Nachtigall, Lisa S. Hamm, Andrea Cadavid, Lennart Adenaw, Allister Loder, Markus B. Siewert, Sebastian Goerg, Markus Lienkamp, Klaus Bogenberger

We observe this natural experiment with a three-wave survey and an app-based travel diary on a sample of hundreds of participants as well as an analysis of traffic counts.

A nation-wide experiment: fuel tax cuts and almost free public transport for three months in Germany -- Report 1 Study design, recruiting and participation

no code implementations1 Jun 2022 Allister Loder, Fabienne Cantner, Lennart Adenaw, Markus Siewert, Sebastian Goerg, Markus Lienkamp, Klaus Bogenberger

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 energy and mobility.

Multi-Sensor Data Fusion for Accurate Traffic Speed and Travel Time Reconstruction

no code implementations8 May 2021 Lisa Kessler, Felix Rempe, Klaus Bogenberger

A novel fusion approach is developed which extends existing speed reconstruction methods to integrate low-resolution travel time data.

Estimating Traffic Speeds using Probe Data: A Deep Neural Network Approach

no code implementations19 Apr 2021 Felix Rempe, Philipp Franeck, Klaus Bogenberger

The results show that the DNN is able to apply learned patterns, and reconstructs moving as well as stationary congested traffic with high accuracy; even given highly sparse input data.

Data Augmentation

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

no code implementations3 Apr 2021 Florian Dandl, Roman Engelhardt, Klaus Bogenberger

Under certain assumptions, which are reasonable for an attractive MoD business model, it can be shown that an operator using dynamic state optimization can communicate a rejection to users after the first iteration, thereby eliminating unnecessary waiting time before these users would leave the system.

Feature Engineering for Data-driven Traffic State Forecast in Urban Road Networks

no code implementations17 Sep 2020 Felix Rempe, Klaus Bogenberger

Most traffic state forecast algorithms when applied to urban road networks consider only the links in close proximity to the target location.

Clustering Feature Engineering

Optimal internal boundary control of lane-free automated vehicle traffic

no code implementations24 Aug 2020 Milad Malekzadeh, Ioannis Papamichail, Markos Papageorgiou, Klaus Bogenberger

A recently proposed paradigm for vehicular traffic in the era of CAV (connected and automated vehicles), called TrafficFluid, involves lane-free vehicle movement.

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