Stochastic C-GNet Environment Modeling and Path Planning Optimization in a Narrow and Long Space
Joint Authors
Wu, Miao
Yang, Jianjian
Tang, Zhiwei
Wang, Xiaolin
Wang, Zirui
Yin, Biaojun
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-06-19
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
This study proposes a novel method of optimal path planning in stochastic constraint network scenarios.
We present a dynamic stochastic grid network model containing semienclosed narrow and long constraint information according to the unstructured environment of an underground or mine tunnel.
This novel environment modeling (stochastic constraint grid network) computes the most likely global path in terms of a defined minimum traffic cost for a roadheader in such unstructured environments.
Designing high-dimensional constraint vector and traffic cost in nodes and arcs based on two- and three-dimensional terrain elevation data in a grid network, this study considers the walking and space constraints of a roadheader to construct the network topology for the traffic cost value weights.
The improved algorithm of variation self-adapting particle swarm optimization is proposed to optimize the regional path.
The experimental results both in the simulation and in the actual test model settings illustrate the performance of the described approach, where a hybrid, centralized-distributed modeling method with path planning capabilities is used.
American Psychological Association (APA)
Yang, Jianjian& Tang, Zhiwei& Wang, Xiaolin& Wang, Zirui& Yin, Biaojun& Wu, Miao. 2018. Stochastic C-GNet Environment Modeling and Path Planning Optimization in a Narrow and Long Space. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1209649
Modern Language Association (MLA)
Yang, Jianjian…[et al.]. Stochastic C-GNet Environment Modeling and Path Planning Optimization in a Narrow and Long Space. Mathematical Problems in Engineering No. 2018 (2018), pp.1-13.
https://search.emarefa.net/detail/BIM-1209649
American Medical Association (AMA)
Yang, Jianjian& Tang, Zhiwei& Wang, Xiaolin& Wang, Zirui& Yin, Biaojun& Wu, Miao. Stochastic C-GNet Environment Modeling and Path Planning Optimization in a Narrow and Long Space. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1209649
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1209649