Investigation of methods for calculating the distances traveled by sales agents
Keywords:
Python, sales agent, Google maps, OpenStreetMap, distance calculation
Abstract
Various options for calculating the distances traveled by sales agents are considered, their analysis and comparison are carried out, recommendations are given on the optimal calculation parameters depending on the initial input data.
References
Almendros-Jiménez, Jesús M., and Antonio Becerra-Terón. "Distance based queries in open street map." 2015 26th International Workshop on Database and Expert Systems Applications (DEXA). IEEE, 2015.
Biswas, Aradhya, Goutham Pilla, and Bheemarjuna Reddy Tamma. "Microsegmenting: An approach for precise distance calculation for GPS based ITS applications." 2013 IEEE Recent Advances in Intelligent Computational Systems (RAICS). IEEE, 2013.
Karney, Charles FF. "Geodesics on an ellipsoid of revolution." arXiv preprint arXiv:1102.1215 (2011).
Gonçalves, Daniel Neves Schmitz, et al. "Analysis of the difference between the euclidean distance and the actual road distance in Brazil." Transportation Research Procedia 3 (2014): 876-885.
Maria, E., E. Budiman, and M. Taruk. "Measure distance locating nearest public facilities using Haversine and Euclidean Methods." Journal of Physics: Conference Series. Vol. 1450. No. 1. IOP Publishing, 2020.
Rajšp, Alen, Marjan Hericko, and Iztok Fister Jr. "Preprocessing of roads in OpenStreetMap based geographic data on a property graph." Central European Conference on Information and Intelligent Systems. Faculty of Organization and Informatics Varazdin, 2021.
Lavrenchuk S.V., Kiselev D.V “А social network with the ability to track users by means Google Maps library API.” COMPUTER-INTEGRATED TECHNOLOGIES: EDUCATION, SCIENCE, PRODUCTION, no. 19, 2015, pp. 34-38
Melnyk , V., TarasenkoА., N. Cherniashchuk, Melnyk К., and S. Chukhrii. “Automated Public Transport Timetable System.”. COMPUTER-INTEGRATED TECHNOLOGIES: EDUCATION, SCIENCE, PRODUCTION, no. 43, June 2021, pp. 70-77, doi:10.36910/6775-2524-0560-2021-43-12.
Melnyk, Kateryna Viktorivna, and others. Evolutionary models of finding the optimal path. Lutsk, 2016, p. 53.
"OpenStreetMap". OpenStreetMap, www.openstreetmap.org. Last viewed 17 May. 2022
Biswas, Aradhya, Goutham Pilla, and Bheemarjuna Reddy Tamma. "Microsegmenting: An approach for precise distance calculation for GPS based ITS applications." 2013 IEEE Recent Advances in Intelligent Computational Systems (RAICS). IEEE, 2013.
Karney, Charles FF. "Geodesics on an ellipsoid of revolution." arXiv preprint arXiv:1102.1215 (2011).
Gonçalves, Daniel Neves Schmitz, et al. "Analysis of the difference between the euclidean distance and the actual road distance in Brazil." Transportation Research Procedia 3 (2014): 876-885.
Maria, E., E. Budiman, and M. Taruk. "Measure distance locating nearest public facilities using Haversine and Euclidean Methods." Journal of Physics: Conference Series. Vol. 1450. No. 1. IOP Publishing, 2020.
Rajšp, Alen, Marjan Hericko, and Iztok Fister Jr. "Preprocessing of roads in OpenStreetMap based geographic data on a property graph." Central European Conference on Information and Intelligent Systems. Faculty of Organization and Informatics Varazdin, 2021.
Lavrenchuk S.V., Kiselev D.V “А social network with the ability to track users by means Google Maps library API.” COMPUTER-INTEGRATED TECHNOLOGIES: EDUCATION, SCIENCE, PRODUCTION, no. 19, 2015, pp. 34-38
Melnyk , V., TarasenkoА., N. Cherniashchuk, Melnyk К., and S. Chukhrii. “Automated Public Transport Timetable System.”. COMPUTER-INTEGRATED TECHNOLOGIES: EDUCATION, SCIENCE, PRODUCTION, no. 43, June 2021, pp. 70-77, doi:10.36910/6775-2524-0560-2021-43-12.
Melnyk, Kateryna Viktorivna, and others. Evolutionary models of finding the optimal path. Lutsk, 2016, p. 53.
"OpenStreetMap". OpenStreetMap, www.openstreetmap.org. Last viewed 17 May. 2022
Abstract views: 103 PDF Downloads: 94
Published
2022-07-01
How to Cite
Lavrenchuk, S., MelnikК., BahnіukN., & Pashchuk, V. (2022). Investigation of methods for calculating the distances traveled by sales agents . COMPUTER-INTEGRATED TECHNOLOGIES: EDUCATION, SCIENCE, PRODUCTION, (47), 35-40. https://doi.org/10.36910/6775-2524-0560-2022-47-06
Section
Automation and Control
