The explosion of mobile devices, GPS technology, and IoT sensors has generated an unprecedented volume of spatiotemporal data, offering immense potential for insights into human behavior and spatial patterns. In this paper, we introduce a novel self-...

Identifying anomalous human spatial trajectory patterns can indicate dynamic changes in mobility behavior with applications in domains like infectious disease monitoring and elderly care. Recent advancements in large language models (LLMs) have ...

Social communication involves interpreting nonverbal behaviors, detecting and anticipating others’ actions and intentions. Actions convey not only the goal and motor intention but also the form, i.e., variations in action execution. These variations, ...

Trajectory contains spatial-data generated from traces of moving objects like people, animals, etc. Community generated from trajectories portrays common behaviour. Trajectory clustering based on community-detection involves region-graph generation and ...

In this paper, we address the Human Mobility Prediction Challenge (HuMob Challenge) 2023, focusing on the prediction of human mobility patterns using sparse datasets, a prevalent challenge impacting urban planning, disaster risk management, and ...

We consider the cybersecurity challenges arising from communications between autonomous vehicles and smart infrastructures. In particular, we consider coordination between vehicles and Reduced Speed Work Zones (RSWZ). Malicious or tampered ...

Human mobility influences our society and vice versa. During the COVID-19 pandemic, non-pharmaceutical intervention that alters activity-based mobility such as work-from-home greatly impacted human mobility patterns. Many studies on developing mitigation ...

Well-intentioned users sometimes enable the spread of misinformation due to limited context about where the information originated and/or why it is spreading. Building upon recommendations based on prior research about tackling misinformation, we explore ...

This paper considers aircraft landing on a carrier. We propose two schemes for calculating, first, the probability of a go-around due to disengaging the arresting gear and, second, the maximum descent of the aircraft’s trajectory with respect to ...

The periodic walking of biped robot involves the alternate movement of supporting leg and swinging leg. In order to quickly plan the gait, it is necessary to select the key posture of biped walking on the premise of maintaining the stability of the robot. ...

The sensor nodes in WSNs are resource constraints and data collection is draining the sensor node's energy. Therefore, collecting data in a single hop by the mobile device helps in preserving the sensor node energy. This paper is introducing a fuzzy logic-...

Due to the surge of spatio-temporal data volume, the popularity of location-based services and applications, and the importance of extracted knowledge from spatio-temporal data to solve a wide range of real-world problems, a plethora of research and ...

Sub-meter accurate vehicle localization is often the ultimate goal in the automotive industry as well as fleet management today and the Global Navigation Satellite System (GNSS) is one of the most practical ways to achieve this goal. In addition to ...

The large search companies have very clearly shown that full-text search on very large datasets can be executed efficiently. In this paper, we show how querying spatio-temporal trajectory data can be converted to a full-text search problem. This allows ...

Location measurements from people and vehicles often have long temporal gaps between them. However, we would still like to reason about location behavior during these gaps. This paper presents a new method for filling these gaps that is both principled ...

Road network generation from massive trajectories has mainly focused on the mining of urban arterial roads while the demand for refined road networks in communities full of low-grade roads is increasing. Trajectory GPS signals in communities tend to be ...

With the prevalence of location-based services (LBS), trajectories are being generated rapidly. As is widely used in LBS, top-k trajectory similarity query serves as a key operation, deeply empowering applications such as travel route recommendation and ...

Road network and trajectory representation learning are essential for traffic systems since the learned representation can be directly used in various downstream tasks (e.g., traffic speed inference, travel time estimation). However, most existing ...

With the advancing of location-detection technologies and the increasing popularity of mobile phones and other location-aware devices, trajectory data is continuously growing. While large-scale trajectories provide opportunities for various ...

Business districts are urban areas that have various functions for gathering people, such as work, consumption, leisure and entertainment. Due to the dynamic nature of business activities, there exists significant tidal effect on the boundary and ...