Interactive Coventry Ltd, in collaboration with Coventry University and Malaysian industrial partners (Metrobinaya Sdn Bhd and Pentalight Technology Sdn Bhd), has received a prestigious funding award by Innovate (UK) and PlaTCOM Ventures (Malaysia), to lead the development of an advanced urban flooding monitoring and forecasting platform. Interactive Coventry was awarded funding in the competition: “Newton Fund: UK-Malaysia Urban Innovation Challenge 2017”, which is a bilateral framework providing facilitation and financial support for Malaysian and UK organisations through business-led collaborations.
The project titled “Flood Ultra-Cognitive Dendrite (FLUD)” is estimated to cost over £750,000, and builds upon state of the art research, and technologies in computational intelligence and machine learning, to develop an urban flooding monitoring and forecasting platform. FLUD aims to minimise the impact of flash floods through developing an economically sustainable technical approach to flood-alert systems in a way that considers citizen accessibility of its service regardless of age, race, literacy and social status.
The proposed approach will be tested in the context of two high risk areas in Malaysia, and the final product will be a benchmark framework, which can be utilised in smart city projects in Malaysia, the UK, and other countries facing extreme urban flooding phenomena.
Predicting future traffic jams is no longer just for crystal balls thanks to a Coventry data expert who is working with city chiefs in Indonesia to tackle car congestion.
Dr Rahat Iqbal, an expert in Big Data Analytics, has just returned from Jakarta, Indonesia to discuss potential solutions for traffic problems.
Dr Iqbal, a reader in Human-Centred Technology in the School of Computing, Electronics & Mathematics and a CEO of Interactive Coventry Limited, showed Jakarta government bosses how his research could help anticipate the volume of traffic flow in the city, using technology rather than people. He also suggested a solution which analysed how new public policies could affect future traffic.
The partnership between Dr Iqbal and Jakarta is set to continue in the future.
Dr Rahat Iqbal, an expert in Big Data Analytics, recently paid a productive visit to the Governor office of Jakarta, Indonesia to discuss potential solutions for traffic congestion problems. Dr Iqbal is a Reader in Human-Centred Technology in the School of Computing, Electronics and Mathematics at Coventry University, and a CEO of Interactive Coventry Ltd, a supplier of high-tech intelligent data-driven solutions. Mrs Barbara Howell, Associate Dean (International) also attended the meeting together with Ms Yanti Amran, a local part-time Consultant for the University Jakarta office. The visit was backed by Mr Paul Fairburn (Director of Enterprise and Innovation); Professor Mike Hardy (Executive Director, Centre for Trust, Peace and Social Relations and Professor Damien Foster (Head of the School). Present from the Governor’s office were Mr Setiaji (Head of Jakarta Smart City Unit), Mr Diory Paulus Damanik (Head of Data & Analytics), JSC team and many other officials from the Government Transport Wing where Dr. Iqbal presented the state of the art in machine learning approaches relating to the prediction and management of traffic congestion. Mrs Howell supported Dr Iqbal by briefing the officials with the example of the London traffic management system.
Dr Iqbal suggested novel solutions for managing traffic congestion which were based on Big Data Analytics. During the subsequent discussion, prototype systems (as shown above) applied to a real-world dataset were demonstrated. The screenshot (Fig 1.) shows a heat map indicating the volume of traffic flow for Jakarta city. The wide range of proposed solutions include traffic visualisation, prediction and optimisation. Additionally, a novel solution based on multi-agent technology was suggested which could analyse the potential impact of policies relating to transport. The government officials showed a strong interest in these projects and a willingness to continue this collaboration with Coventry University which could lead to a mutually beneficial strategic partnership. The suggested solutions were based on technology patented by Interactive Coventry Ltd using deep machine learning techniques. The patent introduces a novel biologically inspired universal generative modelling approach called a Hierarchical Spatial-Temporal State Machine. The patented approach was developed on the understanding of the brain, its structure and functionality. This technique, is capable of modelling and predicting complex spatial-temporal patterns in data from which it can predict the future states of a system, based on its previous behaviour, while taking into account significant noise in the data. The approach can learn automatically the complex patterns in traffic data in order to identify and predict traffic congestion. This gives it a competitive advantage over rival methods where substantive human supervision is required. Due to its unique capability for handling data invariances, the method is able to handle a broad range of data types to discover patterns which are too complex to be identified by humans or standard machine learning techniques.