Ride-pooling has attracted considerable attention from both academia and practitioners in recent years, promising to reduce traffic volumes its negative impacts urban areas. Simulation studies have shown that large-scale ride-pooling the potential increase vehicle utilization, thereby reducing kilometers traveled (VKT) required fleet sizes compared single-passenger mobility options. However, re...

Crime is hard to anticipate since it occurs at random and can occur anywhere any moment, making a difficult issue for society address. By analyzing comparing eight known prediction models: Naive Bayes, Stacking, Random Forest, Lazy:IBK, Bagging, Support Vector Machine, Convolutional Neural Network, Locally Weighted Learning – this study proposed an improved deep learning crime model using convo...

A fundamental problem underlying location-based tasks is to construct a complete profile of users’ spatiotemporal patterns. In many real-world settings, the sparsity of location data makes it difficult to construct such a profile. As a remedy, we describe a Bayesian probabilistic graphical model, called Collaborative Place Model (CPM), which infers similarities across users to construct complet...

Spatiotemporal data generally undergo fluctuations. Identifying a sequence of changes in spatiotemporal data and investigating patterns of the detected changes are commonly required across many domains for analysis, prediction, and decision-making. However, most current analytical tools do not support both functions, so there has been a limitation in comprehensively analyzing dynamics in ongoin...

This paper investigates the problem of tracking spatiotemporal changes of a satellite image through the use of Knowledge Discovery in Database (KDD). The purpose of this study is to help a given user effectively discover interesting knowledge and then build prediction and decision models. Unfortunately, the KDD process for spatiotemporal data is always marked by several types of imperfections. ...

We define the solar cycle as a spatiotemporal rather than a purely temporal entity. This allows us to introduce new methods to determine timing parameters of the activity cycles. We discuss the physical interpretation of our spatiotemporal definition as a pair of activity waves travelling towards the equator and pole respectively, and present results of the corresponding statistical analysis. T...