We propose two novel learning frameworks using neural mean-field (NMF) dynamics for
inference and estimation problems on heterogeneous diffusion networks in discrete-time …

Traffic congestion causes major economic, environmental and social problems in modern
cities. We present an interactive visualization tool to assist domain experts on the …

In this thesis, a novel congestion propagation prediction framework is presented. This
prediction framework can be used by navigation systems to mitigate congestion during …

One of the largest dynamics of our society is the human mobility whose pricelessness is
concealed by its mighty complexity and diversity, in both spatial and temporal aspects. A …

Anomaly detection for connected systems is challenging as it is hard to observe and analyze
multiple spatial and temporal scales of sub-processes and operations given the …

본 논문은 CCTV 영상을 이용해 교통 흐름 데이터를 추출하고 정체 간 인과 관계를 분석하는
프레임워크를 제안한다. 또한 CCTV 영상에서 차량을 추적해 교통 흐름 데이터를 추출하고 …

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

Traffic management centres aim to keep the traffic flowing regardless of traffic disturbances.
This paper presents a new method for quantitative incident analysis via causality and …

La congestión en el tráfico vehicular es cada día más común en las grandes ciudades, lo
que conduce a un significativo incremento en los tiempos de viaje. Los sistemas de ruteo …

3.7. 3 Quantum AI-based traffic management system Page 143 138 3.7. 3 Quantum AI-based
traffic management system P. GORAa a Faculty of Mathematics, Informatics and Mechanics …