Trustworthy positioning for intelligent transport systems. This project aims to develop a holistic approach for reliable positioning for Intelligent Transport Systems (ITS). This project will address the challenges of integrity monitoring in ITS when using satellite-based technology, its integration with other sensors, and when supported by the proposed Australia National Positioning Infrastructure. It will consider Australian geography, large area, and sparse population, and emphasise rural tra ....Trustworthy positioning for intelligent transport systems. This project aims to develop a holistic approach for reliable positioning for Intelligent Transport Systems (ITS). This project will address the challenges of integrity monitoring in ITS when using satellite-based technology, its integration with other sensors, and when supported by the proposed Australia National Positioning Infrastructure. It will consider Australian geography, large area, and sparse population, and emphasise rural transport. Expected primary outputs include algorithms, a detailed analysis of required systems and recommendations that will help prepare Australia for the importation of self-driving vehicles.Read moreRead less
Integrating Mobility on Demand in urban transport infrastructures. Australia’s major cities are substantially challenged for public transport services due to the dispersed and low population densities, and thus, roads are at or beyond their capacity. Smarter demand-responsive public transport services are therefore needed. This project studies the viability of such a service under a variety of scenarios.
Intelligent Self-Organizing Transport. The project aims to develop smart transport solutions for Australia's sprawling mega-cities with their complex challenges to provide mobility and equitable access, and with their susceptibility to failure in cases of disasters. In particular, the project will develop software establishing intelligent and self-organizing transport management in urban environments. The project has potential to increase the mobility of citizens, even in low-density suburbs, by ....Intelligent Self-Organizing Transport. The project aims to develop smart transport solutions for Australia's sprawling mega-cities with their complex challenges to provide mobility and equitable access, and with their susceptibility to failure in cases of disasters. In particular, the project will develop software establishing intelligent and self-organizing transport management in urban environments. The project has potential to increase the mobility of citizens, even in low-density suburbs, by reducing the desire for individual car traffic at the same time. Since a self-organizing transport management works ad-hoc, it can be deployed also in devastated areas, e.g., after disasters.Read moreRead less
Prediction of Sea Level Change around Australia and its Calibration and Validation by Satellite-Geodetic Measurements. The redistribution of mass and loading due to deglaciation will change the gravity field, spin axis and centre of mass of the Earth. As such, global sea level will not rise by the same amount in all places, and will even fall in some. This project will extend our realistic Earth model, constructed from a previous ARC grant, to simulate such changes in sea level. These simulat ....Prediction of Sea Level Change around Australia and its Calibration and Validation by Satellite-Geodetic Measurements. The redistribution of mass and loading due to deglaciation will change the gravity field, spin axis and centre of mass of the Earth. As such, global sea level will not rise by the same amount in all places, and will even fall in some. This project will extend our realistic Earth model, constructed from a previous ARC grant, to simulate such changes in sea level. These simulated values will be compared with contemporary estimates of ice mass balance and temporal gravity changes measured by satellite geodesy. Ultimately, this will allow for more informed management of sea level change in Australasia.Read moreRead less
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
CEWAY: Cognitively ergonomic wayfinding directions for location-based services. This project develops qualitative models of wayfinding directions based on landmarks (e.g., 'to the hospital') and common spatial predicates (e.g. 'near to'). These models provide a basis for selecting salient features in different contexts and combining these features with vague spatial predicates. Such wayfinding directions require less cognitive workload and lead to higher success rates in wayfinding than current ....CEWAY: Cognitively ergonomic wayfinding directions for location-based services. This project develops qualitative models of wayfinding directions based on landmarks (e.g., 'to the hospital') and common spatial predicates (e.g. 'near to'). These models provide a basis for selecting salient features in different contexts and combining these features with vague spatial predicates. Such wayfinding directions require less cognitive workload and lead to higher success rates in wayfinding than current approaches. The project develops an integrated formal model of context-dependent salience and navigation under uncertainty. A demonstrator will be implemented based on the industry partners' software platform and data. Human subject tests using the demonstrator software will be used to verify the efficacy of our approach.Read moreRead less
Next generation global navigation satellite systems ambiguity resolution. In the next five years, four new satellite-based navigation and positioning systems, called Global Navigation Satellite Systems (GNSS), will come to challenge/complement the well-known US global positioning system (GPS). In order to get the highest accuracy and most reliable results from these GNSSs, a procedure known as ambiguity resolution (AR) is essential. This collaborative project will bring Professor Peter Teuniss ....Next generation global navigation satellite systems ambiguity resolution. In the next five years, four new satellite-based navigation and positioning systems, called Global Navigation Satellite Systems (GNSS), will come to challenge/complement the well-known US global positioning system (GPS). In order to get the highest accuracy and most reliable results from these GNSSs, a procedure known as ambiguity resolution (AR) is essential. This collaborative project will bring Professor Peter Teunissen, the inventor of the famous LAMBDA method that is currently used in all GPS AR software, to Australia to work on AR for a combined new GNSS AR solution that is also optimised for Australian users. Read moreRead less
Sensor Integration for Low-Cost Robust Machine Automation. Machine automation (MA) radically improves efficiency of mining and construction operataions. When used for farming, it makes Australia more competitive with subsidised competitors in Europe and USA. In one case, a 50% reduction in tractor fleet resulted when night plowing was made possible using MA techniques. The systems developed in this project will make MA far more attractive to Australian agriculture, mining and construction indust ....Sensor Integration for Low-Cost Robust Machine Automation. Machine automation (MA) radically improves efficiency of mining and construction operataions. When used for farming, it makes Australia more competitive with subsidised competitors in Europe and USA. In one case, a 50% reduction in tractor fleet resulted when night plowing was made possible using MA techniques. The systems developed in this project will make MA far more attractive to Australian agriculture, mining and construction industries, by making it more robust and less susceptible to difficult conditions, such as under trees.Read moreRead less
Three-dimensional property ownership map base for smart urban land administration. Three-dimensional property ownership map base for smart urban land administration. This project aims to support smart urban land administration by upgrading a two-dimensional (2D) property ownership map base to a three-dimensional (3D) map base, using 3D digital data from regulatory subdivision processes. The map base coherently represents all land-based parcels, and provides valuable intelligence used to make lan ....Three-dimensional property ownership map base for smart urban land administration. Three-dimensional property ownership map base for smart urban land administration. This project aims to support smart urban land administration by upgrading a two-dimensional (2D) property ownership map base to a three-dimensional (3D) map base, using 3D digital data from regulatory subdivision processes. The map base coherently represents all land-based parcels, and provides valuable intelligence used to make land and property decisions. The 2D map base omits above and underground properties and infrastructure common in urban settings, forcing stakeholders to rely on fragmented data streams. The 3D map base will provide a connected, digital source of intelligence about urban property objects. This is expected to reduce social and economic risks and enable more intelligent city planning and management.Read moreRead less