Projects

Mornington Smarter Cities and Suburbs Project (SCSP) project

The Mornington Peninsula Shire (MPS) has developed a Smart Technology project to address growing demand on parking and amenity facilities in towns particularly with high tourist attraction. There is an increasing pressure to understand the volume of pedestrians, public transport users, and road users (in particular, private vehicle drivers) throughout the major townships in MPS and meet the increasing demand . The ability to model future scenarios will provide a basis to plan infrastructure, provide better routing recommendations, and to assist the planning of events throughout the Shire. The targeted parking and amenities in the high demand towns have varying operations that need specific sensor types to provide the required data. Consequently, the sensors will require the development and implementation of a tailored system to gather the data and provide information for the community, visitors, Council service teams and planners. This project allows the Shire to demonstrate the use of smart technologies to improve liveability of busy towns and to enable informed decision making. img1

Spatio-temporal Data Analytic for Situation Awareness in Airport Operations

Situation awareness (SA) is vital to effective decision making in complex and dynamic sensed environments. The pervasiveness of distributed sensor systems in airport operations is generating significant amounts of heterogeneous data that, correctly handled, can offer significant insights for SA across a wide range of scenarios. This research aims to develop robust techniques and tools to discover spatio-temporal patterns from a variety of airport sensor data and complementary data sources to inform and improve situation awareness in airport ground operations. img2

Travelling Officer Problem

The on-street parking system is an indispensable part of civil projects, which provides travelers and shoppers with parking spaces. With the recent in-ground sensors deployed throughout the city, there is a significant problem on how to use the sensor data to manage parking violations and issue infringement notices in a short time-window efficiently. In this project, we use a large real-world dataset with on-street parking sensor data from the local city council, and propose a new combinatorial optimisation problem called Travelling Officer Problem which is widely existed in the real-world. img1

Device-free Human Identification in the Office

Recently, door access control with Internet of Things (IoT) has become increasingly popular in the field of security. However, conventional approaches such as video-based or biological information based cannot satisfy the requirements of personal privacy protection in the modern society. Hence, a wireless signal based technique which does not need users to carry any devices, called device-free have been introduced in recent years to detect and identify persons. In this paper, we present BLEDoorGuard, a wireless, invisible and robust door access system which leverages received signal strength indicator (RSSI) from Bluetooth Low Energy (BLE) beacons to recognise a person who accesses a door. We evaluated BLEDoorGuard in two real world scenarios: the first is an office with a key lock, and the second is a meeting room with swipe card access. We exploit the characteristics of use of BLE for person identification and propose a two-step algorithm with multiple classifiers. img1