Optimization approach to lower capacity requirements in backup networks

Ouédraogo, Ihsen Aziz; Oki, Eiji

doi:10.1109/cqr.2016.7501415

Cited by 10 publications

(2 citation statements)

References 22 publications

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“…The following papers have shown novel problem formulation for specific industrial applications. Ouedraogo and Oki [56] have formulated a minimization problem of the capacity requirements of traffic backup networks, under uncertainty, by using linear programming. By rerouting the traffic in the case of a link failure in an existing network, their simulation results show up to a 70% reduction in the spare capacity required for the backup networks.…”

Section: Framework For Fully Autonomous Systemmentioning

confidence: 99%

Path planning for autonomous bulldozers

et al. 2019

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With increasing demand and awareness from industries for enhanced safety, higher productivity, and better vehicle utilization, coupled with labour shortage, automating heavy equipment is becoming more and more important. Among the different types of heavy equipment, bulldozers fall into the category of machines that have a very high potential of achieving fully autonomous operation. Focusing on this fact, the aim of this research is to develop an automated path planning system for bulldozers. In general, an autonomous system is composed of terrain mapping, path planning and path-tracking. Existing commercial grade methodologies already solve terrain mapping and path-tracking, however path planning will be a key challenge for bulldozer automation.Conventional path planning algorithms are designed typically using a grid-based map, and are very versatile. However, in reality, a substantial effort is still required when applying to specific industry products. In contrast to this trend, the aim of this work is to develop a path planning algorithm specifically suitable for bulldozers, starting from the phase of theoretical development. The novel path planning methodology was developed by incorporating industry feedback, and has successfully resolved the issues which occurred when attempting to apply the pre-existing path planning methodologies. Results obtained from this newly developed methodology will demonstrate that efficient paths can be created. The methodology presented in this thesis has led to the development of automated path planning for bulldozers. This allows bulldozers to function without the need of an operator, contributing to enhanced safety, increased productivity, and solving the shortage of skilled operators.Declaration relating to disposition of project thesis/dissertation I hereby grant to the University of New South Wales or its agents the right to archive and to make available my thesis or dissertation in whole or in part in the University libraries in all forms of media, now or here after known, subject to the provisions of the Copyright Act 1968. I retain all property rights, such as patent rights. I also retain the right to use in future works (such as articles or books) all or part of this thesis or dissertation.I also authorise University Microfilms to use the 350 word abstract of my thesis in Dissertation Abstracts International (this is applicable to doctoral theses only). …………………………………………………………… Signature ……………………………………..……………… Witness Signature ……….……………………...…….… DateThe University recognises that there may be exceptional circumstances requiring restrictions on copying or conditions on use. Requests for restriction for a period of up to 2 years must be made in writing. Requests for a longer period of restriction may be considered in exceptional circumstances and require the approval of the Dean of Graduate Research.

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Section: Framework For Fully Autonomous Systemmentioning

confidence: 99%

Path planning for autonomous bulldozers

et al. 2019

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“…The following papers have shown novel problem formulation for specific industrial applications. Ouedraogo and Oki 9 have formulated a minimization problem of capacity requirements of traffic backup networks, under uncertainty, using linear programming. By rerouting the traffic in the case of a link failure in an existing network, their simulation results show up to 70% reduction in the spare capacity required for the backup networks.…”

Section: Introductionmentioning

confidence: 99%

An optimized approach for automatic material distribution operations of bulldozers

Hirayama

Whitty

Katupitiya

et al. 2018

International Journal of Advanced Robotic Systems

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Komatsu Ltd. is reinforcing the research and development of automation technology for our bulldozers. Based on this trend, a methodology for optimized distribution of materials is proposed and developed for dumping area operations using bulldozers in this article. The aim of this work is to develop a robust methodology to contribute to the development of an autonomous system as possible so that it can be applied to our commercial machines immediately. The identified problem is that no formulation has yet been produced which can be applied to achieve such objectives. To develop the methodology, firstly, problem formulation of a specific scenario at the dumping area is presented. Secondly, integer linear programming is applied to solve the distribution problem. A hybrid method combining heuristics techniques and local branching is utilized to make this methodology capable of providing fast and reasonable solutions. Lastly, simulation results with specific different distribution requirements are presented to show that the developed methodology can derive optimized solutions for different requirements with a stable computational performance.

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Backup Network Design Scheme for Multiple Link Failures to Avoid Overestimating Link Capacity

Hirano

Sato

et al. 2018

2018 IEEE 19th International Conference on High Performance Switching and Routing (HPSR)

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Optimization approach to lower capacity requirements in backup networks

Cited by 10 publications

References 22 publications

Path planning for autonomous bulldozers

Path planning for autonomous bulldozers

An optimized approach for automatic material distribution operations of bulldozers

Backup Network Design Scheme for Multiple Link Failures to Avoid Overestimating Link Capacity

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