A5058249935- Transportation Planning and Optimization
- Human Mobility and Location-Based Analysis
- Evacuation and Crowd Dynamics
- Traffic Prediction and Management Techniques
- Artificial Intelligence in Games
- Data Management and Algorithms
- Urban Transport and Accessibility
- Infrastructure Resilience and Vulnerability Analysis
- Transportation and Mobility Innovations
- Traffic control and management
- Maritime Navigation and Safety
- Wildlife-Road Interactions and Conservation
- Marine and fisheries research
- Occupational Health and Safety Research
- Human Motion and Animation
- Evolutionary Algorithms and Applications
- Data Mining Algorithms and Applications
- Complex Network Analysis Techniques
- Educational Games and Gamification
- Digital Games and Media
- Sirtuins and Resveratrol in Medicine
- Supply Chain Resilience and Risk Management
- Urban Design and Spatial Analysis
- Anomaly Detection Techniques and Applications
- Underwater Vehicles and Communication Systems
Agency for Science, Technology and Research
2014-2023
Institute of High Performance Computing
2014-2023
Nanyang Technological University
2012-2017
The development of competent AI for real-time strategy games such as StarCraft is made difficult by the myriad strategic and tactical reasonings which must be performed concurrently. A significant portion gameplay in managing conflict with opposing forces. We present a modular framework simulating vs. conflicts through an XML specification, whereby behavioural components each force can varied. Evolutionary computation employed on aspects scenario to yield superior solutions. Through...
Quantifying the impact of disruptions on rapid transit resilience is crucial in transport planning. We propose a composite score for systems comprising four indicators that measure different physical aspects resilience. These are computed using weighted network model incorporating structure stations, differences line capacities, and travel demand. Our method provides holistic assessment allows straightforward comparisons scenarios including rail expansions changes Applying our methodology to...
ABSTRACT Serious games have recently shown great potential to be adopted in many applications, such as training and education. However, one critical challenge developing serious is the authoring of a large set scenarios for different objectives. In this paper, we propose data‐driven approach automatically generate games. Compared with other scenario generation methods, our leverages on simulated player performance data construct evaluation function generation. To collect data, an artificial...
Investigating congestion in train rapid transit systems (RTS) today's urban cities is a challenge compounded by limited data availability and difficulties model validation. Here, we integrate information from travel smart card data, mathematical of route choice, full-scale agent-based the Singapore RTS to provide more comprehensive understanding dynamics than can be obtained through analytical modelling alone. Our empirically validated, allows for close inspection including station...
We compare the efficiencies and robustness of four transport networks that can be possibly formed as a result deliberate city planning. The are constructed based on their spatial resemblance to cities Manhattan (lattice), Sudan (random), Beijing (single-blob) Greater Cairo (dual-blob). For given type, genetic algorithm is employed obtain an optimized set bus routes. then simulate how commuter travels using Yen's algorithms for k shortest paths adjacency matrix. cost traveling such walking...
The large scale deployment of sensor, Global Positioning System (GPS) and other mobile devices generates volumes spatiotemporal data, which facilitates the understandings objects' movement trajectories activities. However, it is very challenging to store, transfer load such a volume data into system memory for processing analysis. In this study, we look study case that processes Automatic Identification (AIS) in maritime sector, propose computational framework efficiently compress, acquire...
Crowd modeling and simulation has become a critical tool for understanding crowds predicting their behaviours. This is accomplished by modelling the characteristics behaviours of large groups people, as well interactions. Agent-based crowd may involve thousands complex agents interacting in sophisticated ways, close spatial proximity, with each other. A key challenge to development agent-based inherent complexity that required model all its necessary elements. feature such indexing. refers...
Crowd modeling and simulation has become a critical tool for understanding crowds predicting their behaviours. This is accomplished by modelling the characteristics behaviours of large groups people, as well interactions. Agent-based crowd may involve thousands comp
In this article, we present SUMMIT (Singapore Urban Multi-Modal Integrated Transport Simulator), a multi-modal agent-based simulation platform for public transport calibrated using real world mobility data sets from Singapore. uses co-simulation approach in order to model multiple modes of tandem with commuters seamlessly transitioning between different mode simulations. This is implemented through message passing framework codenamed Fabric (Fast, Agent-Based, Reproducible, Co-simulation)...
Investigating congestion in train rapid transit systems (RTS) today's urban cities is a challenge compounded by limited data availability and difficulties model validation. Here, we integrate information from travel smart card data, mathematical of route choice, full-scale agent-based the Singapore RTS to provide more comprehensive understanding dynamics than can be obtained through analytical modelling alone. Our empirically validated, allows for close inspection including station...
Crowd modeling and simulation has become a critical tool for understanding crowds predicting their behaviours. This is accomplished by modelling the characteristics behaviours of large groups people, as well interactions. Agent-based crowd may involve thousands comp