Mobility Knowledge Graph and Applications in Urban Rails
Abstract: Mobility is the ability to freely move or be moved (people or goods) in transport systems. Efficient and effective mobility systems can significantly contribute to achieving objectives in a wide range of policy domains, such as safety, socio-economic objectives, energy dependency, and climate change. Understanding and predicting mobility behaviors is fundamental for applications from planning to operations and management of urban and maritime mobility systems. Knowledge graphs are being successfully used for a wide range of industries from searching, space, journalism, biomedicine to entertainment, network security, and pharmaceuticals. However, the construction and application of knowledge graphs in mobility is still an open research area. This project aims to propose a novel mobility knowledge graph (MKG) mechanism for mobility behavior modeling, develop algorithms for domain-knowledge based MKG construction and test its validity in demand management and operation controls in urban and maritime transportation.