Multi-objective Indoor Path Planning Method with Dynamic Environment Awareness

ZHOU Yan; CHEN Hong; ZHANG Yeting; HUANG Yueying; ZHANG Pengcheng; YANG Weijun

doi:10.3969/j.issn.0258-2724.20180098

Volume 54 Issue 3

Jun. 2019

Turn off MathJax

Article Contents

Abstract

References

Journal of Southwest Jiaotong University > 2019 > 54(3): 611-618, 632.

ZHOU Yan, CHEN Hong, ZHANG Yeting, HUANG Yueying, ZHANG Pengcheng, YANG Weijun. Multi-objective Indoor Path Planning Method with Dynamic Environment Awareness[J]. Journal of Southwest Jiaotong University, 2019, 54(3): 611-618, 632. doi: 10.3969/j.issn.0258-2724.20180098

Citation:

ZHOU Yan, CHEN Hong, ZHANG Yeting, HUANG Yueying, ZHANG Pengcheng, YANG Weijun. Multi-objective Indoor Path Planning Method with Dynamic Environment Awareness[J]. Journal of Southwest Jiaotong University, 2019, 54(3): 611-618, 632. doi: 10.3969/j.issn.0258-2724.20180098

Citation:

PDF( 1373 KB)

Multi-objective Indoor Path Planning Method with Dynamic Environment Awareness

doi: 10.3969/j.issn.0258-2724.20180098

Received Date: 06 Mar 2018
Rev Recd Date: 27 Apr 2018

Available Online: 23 Feb 2019

Publish Date: 01 Jun 2019

Abstract

Abstract

A dynamic environment-aware multi-objective indoor path planning method is proposed, aimed at satisfying the multi-objective navigation requirements of users in complex indoor environments. Multi-dimensional indoor environment semantics such as indoor path complexity, the degree of congestion, and blocking events were take into account. The node-edge representation indoor navigation network model was also expanded, and a navigation traffic cost function was established by precisely quantifying the multi-dimensional indoor environment semantics. The value of the navigation traffic cost function was then taken as the side length of the model, and a multi-objective indoor path planning algorithm based on Dijkstra was designed and implemented. The results of the simulation show that navigation path planning can avoid unavailable connection edges by adding the vertical components with directional semantics and considering the blocking events factor in the extended indoor navigation network model. After the path complexity and traffic congestion were considered, the travel time is saved by an average of 17% in three traffic patterns, i.e., light, mild and heavy congestion.
- environmental semantic awareness,
- path planning,
- Dijkstra algorithm,
- indoor navigation

FullText(HTML)

References(21)

References

GUERRERO L A, FRANCISCO V, OCHOA S F. An indoor navigation system for the visually impaired[J]. Sensors, 2012, 12(6): 8236-8258. doi: 10.3390/s120608236

MAKRI A, ZLATANOVA S, VERBREE E. An approach for indoor wayfinding replicating main principles of an outdoor navigation system for cyclists[J]. The International Archives of the Photogrammetry,Remote Sensing and Spatial Information Sciences, 2015, 40(4): 29-35.

XIONG Qing, ZHU Qing, ZLATANOVA S, et al. Multi-level indoor path planning method[C]//International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences. Tokyo: [s.n.], 2015: 19-23

VANCLOOSTER A, VIAENE P, VAN D W N, et al. Analyzing the applicability of the least risk path algorithm in indoor space[C]//Isprs Annals of the Photogrammetry Rotnote Sensing and Spatial Information Sciences. Cape Town: [s.n.], 2013: 19-26

迟光华,谢君,李强,等. 一种用于制定多层多出口的室内应急疏散规划的方法[J]. 遥感信息,2013,28(6): 116-120. doi: 10.3969/j.issn.1000-3177.2013.06.021

CHI Guanghua, XIE Jun, LI Qiang, et al. A method for planning multilayer and multi-exit indoor emergency evacuation[J]. Remote Sensing Information, 2013, 28(6): 116-120. doi: 10.3969/j.issn.1000-3177.2013.06.021

KHAN A A, YAO Z, KOLBE T H. 3D geoinformation science[M]. 3D Geoinformation Science. Berlin Heidelberg: Springer, 2015: 175-192

LIN Y H, LIU Y S, GAO G, et al. The IFC-based path planning for 3D indoor spaces[J]. Advanced Engineering Informatics, 2013, 27(2): 189-205. doi: 10.1016/j.aei.2012.10.001

TSETSOS V, ANAGNOSTOPOULOS C, KIKIRAS P, et al. Semantically enriched navigation for indoor environments[J]. International Journal of Web & Grid Services, 2006, 2(4): 453-478.

XU Y, WEN Z, ZHANG X. Indoor optimal path planning based on Dijkstra algorithm[C]//International Conference on Materials Engineering and Information Technology Applications. Paris: Atlantis Press, 2015: 309-313

LYARDET F, SZETO D W, AITENBICHLER E. Context-aware indoor navigation[C]//European Conference on Ambient Intelligence. Berlin Heidelberg: Springer, 2008: 290-307

林雕,宋国民,游雄,等. 基于上下文感知的室内路径规划研究[J]. 地理与地理信息科学,2016,32(3): 8-13. doi: 10.3969/j.issn.1672-0504.2016.03.002

LIN Diao, SONG Guomin, YOU Xiong, et al. Study on the context-aware indoor path planning[J]. Geography and Geo-Information Science, 2016, 32(3): 8-13. doi: 10.3969/j.issn.1672-0504.2016.03.002

KARAS I R, BATUK F, AKAY A E, et al. Innovations in 3D Geo information systems[M]. Berlin Heidelberg: Springer, 2006: 395-404

LEE J. A three-dimensional navigable data model to support emergency response in microspatial built-environments[J]. Annals of the Association of American Geographers, 2008, 97(3): 512-529.

YUAN W, SCHNEIDER M. Geospatial thinking[M]. Berlin Heidelberg: Springer, 2010: 299-313

SRIKULWONG M. Tactile displays for pedestrian navigation[D]. Bath: University of Bath, 2012

BALAKRISHNAN B, SUNDAR S S. Where am I? How can I get there? Impact of navigability and narrative transportation on spatial presence[J]. Human-Computer Interaction, 2011, 26(3): 161-204.

DUCKHAM M, KULIK L. " Simplest” paths:automated route selection for navigation[J]. Lecture Notes in Computer Science, 2003, 2825(1): 169-185.

RICHTER K F, DUCKHAM M. Simplest instructions: finding easy-to-describe routes for navigation[C]//International Conference on Geographic Information Science. Berlin Heidelberg: Springer, 2008: 274-289

GOLLEDGE R G, GARLING T. Handbook of transport geography and spatial systems[M]. Bingley: Emerald Group Publishing Limited, 2004: 501-512

TURNER A. Spatial information theory[M]. Berlin Heidelberg: Springer, 2009: 489-504

LO S M, FANG Z, LIN P, et al. An evacuation model:the SGEM package[J]. Fire Safety Journal, 2004, 39(3): 169-190. doi: 10.1016/j.firesaf.2003.10.003

Relative Articles

Supplements(0)

Cited By

Proportional views