Powering Urban Smart Mobility with Data Analytics

The rapid urbanisation and wide adoption of motor vehicles in Guangdong, China has increased traffic and resulted in congestion, loss of productivity, and negative effects on the environment. The project aims to respond to these challenges by using big data analytics to characterise and predict the spatial-temporal (ST) traveller mobility and traffic patterns, to develop data analytics platforms and applications to enhance smart mobility (SM), e.g., public transportation schedules, and seamless connection between public transportation and shared bikes.