Abstract
This paper tackles with the single-source, shortest-path problem in the challenging context of navigation through real-world, natural environment like a ski area, where traditional on-site sign posts could be limited or not available. For this purpose, we propose a novel approach for planning the shortest path in a directed, acyclical graph (DAG) built on geo-location data mapped from available web databases through Google Map and/or Google Earth. Our new path-planning algorithm we called OPEN is run against this resulting graph and provides the optimal path in a computationally efficient way. Our approach was demonstrated on real-world cases, and it outperforms state-of-art, path-planning algorithms.
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Watts, D., Chris, G.: Where to Ski and Snowboard 2014. NortonWood Publishing, Bath (2014)
NavionicsSki: Navionics Ski (Version 3.3.2) for Android (Mobile Application Software) (2014). https://play.google.com/store
RTP LLC: Whistler Blackcomb Live for Android (Mobile Application Software) (2014). https://play.google.com/store
Baras, J., Theodorakopoulos, G.: Path Planning Problems in Networks. Morgan & Claypool Publishers, Berkley (2010)
Edelkamp, S., Schroedl, S.: Heuristic Search. Morgan Kaufmann, Waltham (2011)
Hernandez, C., Asin, R., Baier, J.A.: Reusing previously found A* paths for fast goal-directed navigation in dynamic terrain. In: Proceedings of the AAAI International Conference on Artificial Intelligence, pp. 1158–1164 (2015)
Uras, T., Koenig, S.: Speeding-up any-angle path-planning on grids. In: Proceedings of the AAAI International Conference on Automated Planning and Scheduling, pp. 234–238 (2015)
Nguyen, T.D., Schmidt, B., Kwoh, C.K.: SparseHC: a memory-efficient online hierarchical clustering algorithm. In: Proceedings of the International Conference on Computational Science, pp. 8–19 (2014)
Sedgewick, R., Wayne, K.: Algorithms, 4th edn. Addison-Wesley, New Jersey (2011)
Breunig, M., Baer, W.: Database support for mobile route planning systems. Comput. Environ. Urban Syst. 28(6), 595–610 (2004)
Hulden, M., Silfverberg, M., Francom, J.: Kernel density estimation for text-based geolocation. In: Proceedings of the AAAI International Conference on Artificial Intelligence, pp. 145–150 (2015)
GoogleMaps: Google Maps Web Database (2015). http://maps.google.com/
GoogleEarth: Google Earth Web Database (2015). http://earth.google.com/
Toman, J., Olszewska, J.I.: Algorithm for graph building based on Google Maps and Google Earth. In: Proceedings of the IEEE International Symposium on Computational Intelligence and Informatics, pp. 80–85 (2014)
Cherkassky, B.V., Goldberg, A.V., Radzik, T.: Shortest paths algorithms: theory and experimental evaluation. Math. Program. 73(2), 129–174 (1996)
WhistlerBlackcomb: Winter Trail Map of the WhistlerBlackcomb ski resort (2014). http://www.whistlerblackcomb.com/~/media/17fbe6c652bd4212902aa2f549a5df9f.pdf
Google: Google Elevation API (2016). https://developers.google.com/maps/documentation/elevation/
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Appendix—OPEN Algorithm
Appendix—OPEN Algorithm
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Olszewska, J.I., Toman, J. (2016). OPEN: New Path-Planning Algorithm for Real-World Complex Environment. In: Bramer, M., Petridis, M. (eds) Research and Development in Intelligent Systems XXXIII. SGAI 2016. Springer, Cham. https://doi.org/10.1007/978-3-319-47175-4_17
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DOI: https://doi.org/10.1007/978-3-319-47175-4_17
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