Ground Vehicles Cooperative Route Planning for Survivability Improvement

Shengyin Wang; Teng Long; Zhu Wang; Yong Zhu

doi:10.1109/GNCC42960.2018.9019165

Ground Vehicles Cooperative Route Planning for Survivability Improvement

Shengyin Wang, Teng Long, Zhu Wang, Yong Zhu

School of Aerospace Engineering

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

To improve the survivability of multiple ground vehicles when they are maneuvering under the reconnaissance of satellites, a cooperative route planning method using A search algorithm is proposed. Firstly, the route planning problem of multiple ground vehicles for survivability improvement is formulated. Then, satellite reconnaissance model and road network model are established. And the modified A search algorithm based on cooperative dispersal strategies (i.e., dispersal arrival strategy and real-time dispersal strategy) is customized for route planning to improve the survival possibility of ground vehicles. In addition, a survivability evaluation framework is established to assess the survival status of ground vehicles. Simulation results demonstrate that the proposed method can improve the overall survivability of multiple ground vehicles effectively.

Original language	English
Title of host publication	2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538611715
DOIs	https://doi.org/10.1109/GNCC42960.2018.9019165
Publication status	Published - Aug 2018
Event	2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018 - Xiamen, China Duration: 10 Aug 2018 → 12 Aug 2018

Publication series

Name	2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018

Conference

Conference	2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018
Country/Territory	China
City	Xiamen
Period	10/08/18 → 12/08/18

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10.1109/GNCC42960.2018.9019165

Cite this

Wang, S., Long, T., Wang, Z., & Zhu, Y. (2018). Ground Vehicles Cooperative Route Planning for Survivability Improvement. In 2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018 Article 9019165 (2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GNCC42960.2018.9019165

@inproceedings{e39c7c435ce64304bed3824a804ca6d0,

title = "Ground Vehicles Cooperative Route Planning for Survivability Improvement",

abstract = "To improve the survivability of multiple ground vehicles when they are maneuvering under the reconnaissance of satellites, a cooperative route planning method using A search algorithm is proposed. Firstly, the route planning problem of multiple ground vehicles for survivability improvement is formulated. Then, satellite reconnaissance model and road network model are established. And the modified A search algorithm based on cooperative dispersal strategies (i.e., dispersal arrival strategy and real-time dispersal strategy) is customized for route planning to improve the survival possibility of ground vehicles. In addition, a survivability evaluation framework is established to assess the survival status of ground vehicles. Simulation results demonstrate that the proposed method can improve the overall survivability of multiple ground vehicles effectively.",

author = "Shengyin Wang and Teng Long and Zhu Wang and Yong Zhu",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018 ; Conference date: 10-08-2018 Through 12-08-2018",

year = "2018",

month = aug,

doi = "10.1109/GNCC42960.2018.9019165",

language = "English",

series = "2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018",

address = "United States",

}

Wang, S, Long, T, Wang, Z & Zhu, Y 2018, Ground Vehicles Cooperative Route Planning for Survivability Improvement. in 2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018., 9019165, 2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018, Institute of Electrical and Electronics Engineers Inc., 2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018, Xiamen, China, 10/08/18. https://doi.org/10.1109/GNCC42960.2018.9019165

Ground Vehicles Cooperative Route Planning for Survivability Improvement. / Wang, Shengyin; Long, Teng; Wang, Zhu et al.
2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 9019165 (2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Ground Vehicles Cooperative Route Planning for Survivability Improvement

AU - Wang, Shengyin

AU - Long, Teng

AU - Wang, Zhu

AU - Zhu, Yong

PY - 2018/8

Y1 - 2018/8

N2 - To improve the survivability of multiple ground vehicles when they are maneuvering under the reconnaissance of satellites, a cooperative route planning method using A search algorithm is proposed. Firstly, the route planning problem of multiple ground vehicles for survivability improvement is formulated. Then, satellite reconnaissance model and road network model are established. And the modified A search algorithm based on cooperative dispersal strategies (i.e., dispersal arrival strategy and real-time dispersal strategy) is customized for route planning to improve the survival possibility of ground vehicles. In addition, a survivability evaluation framework is established to assess the survival status of ground vehicles. Simulation results demonstrate that the proposed method can improve the overall survivability of multiple ground vehicles effectively.

AB - To improve the survivability of multiple ground vehicles when they are maneuvering under the reconnaissance of satellites, a cooperative route planning method using A search algorithm is proposed. Firstly, the route planning problem of multiple ground vehicles for survivability improvement is formulated. Then, satellite reconnaissance model and road network model are established. And the modified A search algorithm based on cooperative dispersal strategies (i.e., dispersal arrival strategy and real-time dispersal strategy) is customized for route planning to improve the survival possibility of ground vehicles. In addition, a survivability evaluation framework is established to assess the survival status of ground vehicles. Simulation results demonstrate that the proposed method can improve the overall survivability of multiple ground vehicles effectively.

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U2 - 10.1109/GNCC42960.2018.9019165

DO - 10.1109/GNCC42960.2018.9019165

M3 - Conference contribution

AN - SCOPUS:85082492615

T3 - 2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018

BT - 2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018

Y2 - 10 August 2018 through 12 August 2018

ER -

Ground Vehicles Cooperative Route Planning for Survivability Improvement

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