Inter-city transportation plays an important role in modern cities, and has accumulated
massive spatio-temporal data from various sensors by IoT (Internet of things) technologies …

Traffic congestion has become a significant issue in almost all modern cities around the
world. Existing research on congestion detection on roads takes a threshold-based …

The development of the city transportation system provides us lots of conveniences, but it
also can brings traffic congestion causing environmental pollution and increasing the travel …

Driven by explosively growing urban big data, increasing network connectivity, and
enhanced mobility of human and transportation modalities, Urban Mobility-driven …

We propose a novel learning framework using neural mean-field (NMF) dynamics for
inference and estimation problems on heterogeneous diffusion networks. Our new …

A hotsport is a reflection of dense areas of human activities in a city. Hotspots can be widely
used in public applications, such as transport management, disease prevention and control …

Durch die kontinuierliche Zunahme verfügbarer Daten im World Wide Web, besteht heute
eine noch nie da gewesene Menge verfügbarer Informationen. Das große Potential dieser …

Smart systems have been deployed in the real world to improve people's lives, including
safety, wellness, and quality of life. There has been great research attention on enhancing …

Nowadays, due to the urbanization processes, the big cities' road network became more
crowded. On the road network more and more traffic congestions can be observed, which …

Learning semantically coherent location embeddings can benefit downstream applications
such as human mobility prediction. However, the conflation of geographic and semantic …