Making human place knowledge digestible by computers. This project aims to develop the tools that will enable people to interact intuitively with computers about places and the relations between places. People understand their environment in a different way to computers; they think of places and their relations, while computers use coordinates and maps. People’s interaction with maps is cognitively costly and error-prone, which is becoming untenable in situations needing time-critical decision m ....Making human place knowledge digestible by computers. This project aims to develop the tools that will enable people to interact intuitively with computers about places and the relations between places. People understand their environment in a different way to computers; they think of places and their relations, while computers use coordinates and maps. People’s interaction with maps is cognitively costly and error-prone, which is becoming untenable in situations needing time-critical decision making. The project will revolutionise the design of information services where computers deal with humans and location in time-critical or stressful situations, including emergency calls, disaster response and local search queries. The uptake of this design by industry will lead to economic benefits as well as a safer society living in a smarter environment.Read moreRead less
Sustainable coastal city development. This project aims to model sustainable development options of low-lying coastal cities under rapid population growth, climate change and intensive human activity. Using Brisbane (Australia) and Ningbo (China) as case studies, the project will empirically test and understand how cities grow as complex systems built out of the interactions between humans and their living environment at the individual scale and in a cross-jurisdictional context. The project exp ....Sustainable coastal city development. This project aims to model sustainable development options of low-lying coastal cities under rapid population growth, climate change and intensive human activity. Using Brisbane (Australia) and Ningbo (China) as case studies, the project will empirically test and understand how cities grow as complex systems built out of the interactions between humans and their living environment at the individual scale and in a cross-jurisdictional context. The project expects to offer a spatially explicit understanding of the development of coastal cities and science-based decision tools to improve policy-making.Read moreRead less
Algorithms for collaborative micro-navigation based on spatio-temporal data management and data mining. Traffic congestion coupled with greenhouse gas emissions is a major challenge for modern society. This project will tackle this challenge by developing computer-assisted smart vehicles that can access and exchange real-time information about traffic conditions, leading to improved driving experience, safety and environmental sustainability.
From environmental monitoring to management: extracting knowledge about environmental events from sensor data. New, high-detail sources of environmental sensor data are useless without new methods for identifying patterns and extracting knowledge from that data. This project will develop improved techniques for interacting with environmental sensor data to assist environmental scientists and manager in understand the important events that are occurring.
Artificial intelligence meets wireless sensor networks: filling the gaps between sensors using spatial reasoning. Monitoring potential disaster regions and integrating available information with expert knowledge can prevent disasters and save many lives. The outcome of our project is one of the key components for intelligent systems that can autonomously monitor the environment, make the correct inferences and issue appropriate warnings and recommendations.
Walking the city: Digital infrastructure for pedestrian mobility. Pedestrian access, flow and management are critical for urban life. However, compared to other forms of mobility pedestrian mobility is significantly more complex. Currently, various incompatible pedestrian route graphs in both outdoor and indoor environments render any analysis biased and non-transparent. This project aims to solve this problem by developing a universal and necessarily hierarchical pedestrian route graph to suppo ....Walking the city: Digital infrastructure for pedestrian mobility. Pedestrian access, flow and management are critical for urban life. However, compared to other forms of mobility pedestrian mobility is significantly more complex. Currently, various incompatible pedestrian route graphs in both outdoor and indoor environments render any analysis biased and non-transparent. This project aims to solve this problem by developing a universal and necessarily hierarchical pedestrian route graph to support critical applications such as urban walkability (health), space and asset management (guidance, flow management), and public safety (evacuation). In contrast to conventional algorithms, we will take a novel approach based on human cognition to define this universal graph and then integrate topology and geometry.Read moreRead less
Self-healing maps: Protecting maps through automatic updating processes. This project aims to expand our ability to automatically integrate real-time data in map databases of high integrity. Our ability to sense the environment in real-time dramatically exceeds our ability to automatically and reliably integrate mapped data. The quality assurance of map data is a lengthy process, leading either to outdated or low integrity maps. Emergency responders, traffic services and the public then act on m ....Self-healing maps: Protecting maps through automatic updating processes. This project aims to expand our ability to automatically integrate real-time data in map databases of high integrity. Our ability to sense the environment in real-time dramatically exceeds our ability to automatically and reliably integrate mapped data. The quality assurance of map data is a lengthy process, leading either to outdated or low integrity maps. Emergency responders, traffic services and the public then act on map data that cause delays and disturbances. This project intends to deliver self-healing mechanisms inspired by the human immune system, which protect maps from erroneous or malicious data, and detect and correct inconsistencies.Read moreRead less