Grid-based RRT∗ for minimum dose walking path-planning in complex radioactive environments
•A new algorithm was proposed by combining the principle of RRT∗ and the grid searching strategy.•The proposed method can work in continuous spaces without relying on pre-designed road networks.•The method is efficient and reliable in complex radioactive environments with clutter obstacles and narro...
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| Published in: | Annals of nuclear energy Vol. 115; pp. 73 - 82 |
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| Main Authors: | , , , , |
| Format: | Journal Article |
| Language: | English |
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Elsevier Ltd
01.05.2018
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| ISSN: | 0306-4549, 1873-2100 |
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| Abstract | •A new algorithm was proposed by combining the principle of RRT∗ and the grid searching strategy.•The proposed method can work in continuous spaces without relying on pre-designed road networks.•The method is efficient and reliable in complex radioactive environments with clutter obstacles and narrow areas.•The method can provide radiation protection for staff to avoid additional radiation exposure and increases personnel safety.
This paper develops an approach to provide path navigation with minimum dose for occupational workers in nuclear facilities to increase personnel safety. An algorithm called GB-RRT∗ is proposed by combining the principle of the rapidly exploring random tree star (RRT∗) with the grid searching strategy. The proposed hybridized algorithm compensates for the weaknesses of RRT∗ with the strengths of the grid search strategy, and is applicable in complex environments with obstacles and narrow areas without relying on pre-designed road networks. Simulation results of the proposed algorithm under three radioactive environments with sparse obstacles, area cluttered with obstacles, and narrow areas are compared with those derived from RRT∗. The results show that the GB-RRT∗ performs better than RRT∗ in both convergence and reliability toward achieving the minimum dose path. Hence, we present a more reliable and efficient for providing the minimum dose path for occupational workers especially in complex radioactive environments with clutter obstacles and narrow areas. |
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| AbstractList | •A new algorithm was proposed by combining the principle of RRT∗ and the grid searching strategy.•The proposed method can work in continuous spaces without relying on pre-designed road networks.•The method is efficient and reliable in complex radioactive environments with clutter obstacles and narrow areas.•The method can provide radiation protection for staff to avoid additional radiation exposure and increases personnel safety.
This paper develops an approach to provide path navigation with minimum dose for occupational workers in nuclear facilities to increase personnel safety. An algorithm called GB-RRT∗ is proposed by combining the principle of the rapidly exploring random tree star (RRT∗) with the grid searching strategy. The proposed hybridized algorithm compensates for the weaknesses of RRT∗ with the strengths of the grid search strategy, and is applicable in complex environments with obstacles and narrow areas without relying on pre-designed road networks. Simulation results of the proposed algorithm under three radioactive environments with sparse obstacles, area cluttered with obstacles, and narrow areas are compared with those derived from RRT∗. The results show that the GB-RRT∗ performs better than RRT∗ in both convergence and reliability toward achieving the minimum dose path. Hence, we present a more reliable and efficient for providing the minimum dose path for occupational workers especially in complex radioactive environments with clutter obstacles and narrow areas. |
| Author | Ayodeji, Abiodun Chao, Nan Bai, Lu Liu, Yong-kuo Xia, Hong |
| Author_xml | – sequence: 1 givenname: Nan surname: Chao fullname: Chao, Nan organization: Fundamental Science on Nuclear Safety and Simulation Technology Laboratory, Harbin Engineering University, Harbin 150001, China – sequence: 2 givenname: Yong-kuo surname: Liu fullname: Liu, Yong-kuo email: liuyongkuo@hrbeu.edu.cn organization: Fundamental Science on Nuclear Safety and Simulation Technology Laboratory, Harbin Engineering University, Harbin 150001, China – sequence: 3 givenname: Hong surname: Xia fullname: Xia, Hong organization: Fundamental Science on Nuclear Safety and Simulation Technology Laboratory, Harbin Engineering University, Harbin 150001, China – sequence: 4 givenname: Abiodun surname: Ayodeji fullname: Ayodeji, Abiodun organization: Fundamental Science on Nuclear Safety and Simulation Technology Laboratory, Harbin Engineering University, Harbin 150001, China – sequence: 5 givenname: Lu surname: Bai fullname: Bai, Lu organization: Fundamental Science on Nuclear Safety and Simulation Technology Laboratory, Harbin Engineering University, Harbin 150001, China |
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| SubjectTerms | Minimum dose path-planning Nuclear facilities Radiation safety Sampling-based algorithm |
| Title | Grid-based RRT∗ for minimum dose walking path-planning in complex radioactive environments |
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