Efficient Strategies for Coordinating Autonomous Vehicles for Maximising Australia's Waterfront Productivity
Funding: 2008: $125,000
Funding or Partner Organisation: Australian Research Council (ARC Linkage Projects)
Patrick Stevedores Holdings Pty Ltd
Start year: 2008
Summary: This project aims to investigate efficient strategies for coordinating large autonomous vehicle teams in complex and dynamic environments. Comprehensive models for a novel simultaneous task allocation and motion coordination approach will be developed, along with practically deployable intelligent algorithms that contemplate the dynamics of the vehicles, environment and traffic conditions. Software incorporating these algorithms will be developed and used in the world's first fully automated container terminal, located in Australia, leading to a significant improvement in the productivity of Australia's waterfront. The outcomes will significantly advance autonomous vehicle technologies and their applications around the globe.
Yuan, S, Lau, H, Liu, D, Huang, S, Dissanayake, G, Pagac, D & Pratley, T 2009, 'Simultaneous dynamic scheduling and collision-free path planning for multiple autonomous vehicles', Proceedings of the 2009 IEEE International Conference on Information and Automation (ICIA-2009), IEEE International Conference on Information and Automation, IEEE, Zhuhai/Macau, China, pp. 522-527.
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Keywords: Autonomous vehicle, Motion coordination, Task allocation, Material handling,
FOR Codes: Control Systems, Robotics and Automation, Mechanical Engineering, Transport Equipment not elsewhere classified, Intermodal Materials Handling