20 citations · 38 across the 13 of their papers we have counts for
15 papers
CLIPPER Beyond Shortlisting: Auditable Decision Support for Changing Municipal Micromobility Policies
Julian Teusch, Jörg Philipp Müller, Monika Sester
In municipal planning workshops, planners and other stakeholders compare shared-micromobility parking policies by varying no-parking zones, retained sites, spacing, or area allocat…
CLIPPER: Replayable Shortlisted Optimization for Repeated Spatial Coverage Planning
Julian Teusch, Jörg Philipp Müller, Monika Sester
Operational requirements developed with the City of Braunschweig frame municipal micromobility planning under geofenced exclusions, mandatory retained sites, spacing rules, and are…
SPARC: Single-Pass Scaling for Motion Forecasting with Conformal Bayesian Last Layers
Sakif Hossain, Julian Teusch, Jörg P. Müller
Human motion forecasters are increasingly accurate and fast, but reliable deployment requires uncertainty estimates that are structured, calibrated, and efficient. Bayesian and ens…
ADESSE: Advice Explanations in Complex Repeated Decision-Making Environments
Sören Schleibaum, Lu Feng, Sarit Kraus +1
In the evolving landscape of human-centered AI, fostering a synergistic relationship between humans and AI agents in decision-making processes stands as a paramount challenge. This…
Efficient and Interpretable Traffic Destination Prediction using Explainable Boosting Machines
Yasin Yousif, Jörg Müller
Developing accurate models for traffic trajectory predictions is crucial for achieving fully autonomous driving. Various deep neural network models have been employed to address th…
An Explainable Stacked Ensemble Model for Static Route-Free Estimation of Time of Arrival
Sören Schleibaum, Jörg P. Müller, Monika Sester
To compare alternative taxi schedules and to compute them, as well as to provide insights into an upcoming taxi trip to drivers and passengers, the duration of a trip or its Estima…
On Intercultural Transferability and Calibration of Heterogeneous Shared Space Motion Models
Fatema T. Johora, Jörg P. Müller
Modelling and simulation of mixed-traffic zones is an important tool for transportation planners to assess safety, efficiency, and human-friendliness of future urban areas. This pa…
Investigating the Role of Pedestrian Groups in Shared Spaces through Simulation Modeling
Suhair Ahmed, Fatema T. Johora, Jörg P. Müller
In shared space environments, urban space is shared among different types of road users, who frequently interact with each other to negotiate priority and coordinate their trajecto…
SFMGNet: A Physics-based Neural Network To Predict Pedestrian Trajectories
Sakif Hossain, Fatema T. Johora, Jörg P. Müller +2
Autonomous robots and vehicles are expected to soon become an integral part of our environment. Unsatisfactory issues regarding interaction with existing road users, performance in…
Ride Sharing & Data Privacy: An Analysis of the State of Practice
Carsten Hesselmann, Jan Gertheiss, Jörg P. Müller
Digital services like ride sharing rely heavily on personal data as individuals have to disclose personal information in order to gain access to the market and exchange their infor…
Modeling Interactions of Multimodal Road Users in Shared Spaces
Fatema T. Johora, Jörg P. Müller
In shared spaces, motorized and non-motorized road users share the same space with equal priority. Their movements are not regulated by traffic rules, hence they interact more freq…
On the Generalizability of Motion Models for Road Users in Heterogeneous Shared Traffic Spaces
Fatema T. Johora, Dongfang Yang, Jörg P. Müller +1
Modeling mixed-traffic motion and interactions is crucial to assess safety, efficiency, and feasibility of future urban areas. The lack of traffic regulations, diverse transport mo…
Sub-Goal Social Force Model for Collective Pedestrian Motion Under Vehicle Influence
Dongfang Yang, Fatema T. Johora, Keith A. Redmill +2
In mixed traffic scenarios, a certain number of pedestrians might coexist in a small area while interacting with vehicles. In this situation, every pedestrian must simultaneously r…
PFaRA: a Platoon Forming and Routing Algorithm for Same-Day Deliveries
Sînziana-Maria Sebe, Jörg P. Müller
Platoons, vehicles that travel very close together acting as one, promise to improve road usage on freeways and city roads alike. We study platoon formation in the context of same-…
AI for Explaining Decisions in Multi-Agent Environments
Sarit Kraus, Amos Azaria, Jelena Fiosina +7
Explanation is necessary for humans to understand and accept decisions made by an AI system when the system's goal is known. It is even more important when the AI system makes deci…