Published December 2018 | Version v1
Journal article

An improved A* algorithm-guided path-planning method for radioactive environment

  • 1. University of Science and Technology of China, Hefei (China)
  • 2. Key Laboratory of Neutronics and Radiation Safety, Institute of Nuclear Energy Safety Technology, Chinese Academy of Sciences, Hefei (China)

Description

People working in a radiation environment are at risk of radiation exposure. To minimize radiation hazards, an improved A* algorithm-guided path-planning method for radioactive environments is proposed. The method considers the radiation dose rate, obstacles, and shortest path constraint conditions and uses the cumulative dose as the actual cost and the estimated dose as the estimated cost to determine the optimal path. In the same radiation environment, the path length and total dose cost obtained by the improved A* algorithm are 29.3 m and 1.0 mSv, respectively, whereas that obtained via the traditional A* algorithm are 24.1 m and 28.8 mSv, respectively. Simulation results demonstrate that the path guided by the improved A* algorithm is safer and more reliable, and it can be applied to path planning in a nuclear radiation environment. (authors)

Additional details

Publishing Information

Journal Title
Journal of Radiation Research and Radiation Processing
Journal Volume
36
Journal Issue
6
Journal Page Range
[6 p.]
ISSN
1000-3436

INIS

Country of Publication
China
Country of Input or Organization
China
INIS RN
54049784
Subject category
S61: RADIATION PROTECTION AND DOSIMETRY;
Descriptors DEI
ALGORITHMS; DOSE RATES; ENVIRONMENT; LENGTH; LIMITING VALUES; PLANNING; RADIATION DOSES; RADIATION HAZARDS; SIMULATION
Descriptors DEC
DIMENSIONS; DOSES; HAZARDS; HEALTH HAZARDS; MATHEMATICAL LOGIC

Optional Information

Notes
2 figs., 1 tab., 30 refs.; http://dx.doi.org/10.11889/j.1000-3436.2018.rrj.36.060601