9 papers
Optimizing Nursing Care Taxi Dispatch Leveraging Integer Linear Programming Solvers and Machine Learning
Riku Nakao, Akihito Hiromori, Hamada Rizk +1
In this paper, we formulate a new vehicle dispatch optimization problem, called Nursing Care Taxi Dispatch, as a variant of the Vehicle Routing Problem, considering constraints rel…
Human-Flow Digital Twin for Predicting the Effects of Mobility Introduction on Visitor Circulation
Chiharu Shima, Haruki Yonekura, Fukuharu Tanaka +2
We propose a framework for predicting the effects of mobility introduction measures using a human-flow digital twin. This digital twin incorporates a multi-agent simulator that can…
Learning Displacement-Robust Representations for Landslide Early Warning under Rainfall Forecast Uncertainty
Ren Ozeki, Hamada Rizk, Hirozumi Yamaguchi
Rainfall-induced landslides pose a growing risk worldwide as climate change intensifies extreme rainfall events. To provide sufficient evacuation time, landslide early warning syst…
Pedestrian-Aware LLM-Driven Behavioral Planning for Autonomous Vehicles
Aidana Baimbetova, Haruki Yonekura, Hamada Rizk +1
Autonomous Vehicles (AVs) must make reliable decisions in dense urban environments where pedestrian behavior is variable, sometimes abnormal, and often unseen during training. Rein…
CROSS-Net: Region-Agnostic Taxi-Demand Prediction Using Feature Disentanglement
Ren Ozeki, Haruki Yonekura, Aidana Baimbetova +2
The growing demand for ride-hailing services has led to an increasing need for accurate taxi demand prediction. Existing systems are limited to specific regions, lacking generality…
Energy-Free Sensing and Context Recognition Using Photovoltaic Cells
Kaede Shintani, Hamada Rizk, Hirozumi Yamaguchi
The field of energy-free sensing and context recognition has recently gained significant attention as it allows operating systems without external power sources. Photovoltaic cells…