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Optimization of taxi request order coordination using Monte-Carlo method. / Kirilyuk, Anton; Trofimova, Inna.

Proceedings of the 3rd International Conference on Applications in Information Technology, ICAIT 2018. ред. / Klyuev Vitaly; Pyshkin Evgeny; Natalia Bogach. Association for Computing Machinery, 2018. стр. 154-157.

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › Рецензирование

Harvard

Kirilyuk, A & Trofimova, I 2018, Optimization of taxi request order coordination using Monte-Carlo method. в K Vitaly, P Evgeny & N Bogach (ред.), Proceedings of the 3rd International Conference on Applications in Information Technology, ICAIT 2018. Association for Computing Machinery, стр. 154-157, 3rd International Conference on Applications in Information Technology, ICAIT 2018, Aizu-Wakamatsu, Япония, 1/11/18. https://doi.org/10.1145/3274856.3274889

APA

Kirilyuk, A., & Trofimova, I. (2018). Optimization of taxi request order coordination using Monte-Carlo method. в K. Vitaly, P. Evgeny, & N. Bogach (Ред.), Proceedings of the 3rd International Conference on Applications in Information Technology, ICAIT 2018 (стр. 154-157). Association for Computing Machinery. https://doi.org/10.1145/3274856.3274889

Vancouver

Kirilyuk A, Trofimova I. Optimization of taxi request order coordination using Monte-Carlo method. в Vitaly K, Evgeny P, Bogach N, Редакторы, Proceedings of the 3rd International Conference on Applications in Information Technology, ICAIT 2018. Association for Computing Machinery. 2018. стр. 154-157 https://doi.org/10.1145/3274856.3274889

Author

Kirilyuk, Anton ; Trofimova, Inna. / Optimization of taxi request order coordination using Monte-Carlo method. Proceedings of the 3rd International Conference on Applications in Information Technology, ICAIT 2018. Редактор / Klyuev Vitaly ; Pyshkin Evgeny ; Natalia Bogach. Association for Computing Machinery, 2018. стр. 154-157

BibTeX

@inproceedings{14809940e4414b2fb476032fb265f55f,
title = "Optimization of taxi request order coordination using Monte-Carlo method",
abstract = "The goal of the work is the development of optimal routing which will increase the probability of order and will improve interaction of drivers within the system. In this paper the Monte-Carlo method is used to model the taxi order system and improve the taxi drivers management within one company. This method is aimed at optimizing the operation of the taxi application. In this paper we construct the statistical model, it allows to make predictions with the given distributions and with known statistical data, which sector is optimal from the point of obtaining an order. We describe the implementation of the proposed algorithm in the company. Based on this algorithm a part of the taxi application functionality could be created, which allows to optimize the work of drivers. We demonstrate the execution of the algorithm on the example. To create the above-described functional of the taxi application we combine mathematical methods and web programming techniques.",
keywords = "Modeling of economical systems, Monte Carlo method",
author = "Anton Kirilyuk and Inna Trofimova",
year = "2018",
month = nov,
day = "1",
doi = "10.1145/3274856.3274889",
language = "English",
pages = "154--157",
editor = "Klyuev Vitaly and Pyshkin Evgeny and Natalia Bogach",
booktitle = "Proceedings of the 3rd International Conference on Applications in Information Technology, ICAIT 2018",
publisher = "Association for Computing Machinery",
address = "United States",
note = "3rd International Conference on Applications in Information Technology, ICAIT 2018 ; Conference date: 01-11-2018 Through 03-11-2018",

}

RIS

TY - GEN

T1 - Optimization of taxi request order coordination using Monte-Carlo method

AU - Kirilyuk, Anton

AU - Trofimova, Inna

PY - 2018/11/1

Y1 - 2018/11/1

N2 - The goal of the work is the development of optimal routing which will increase the probability of order and will improve interaction of drivers within the system. In this paper the Monte-Carlo method is used to model the taxi order system and improve the taxi drivers management within one company. This method is aimed at optimizing the operation of the taxi application. In this paper we construct the statistical model, it allows to make predictions with the given distributions and with known statistical data, which sector is optimal from the point of obtaining an order. We describe the implementation of the proposed algorithm in the company. Based on this algorithm a part of the taxi application functionality could be created, which allows to optimize the work of drivers. We demonstrate the execution of the algorithm on the example. To create the above-described functional of the taxi application we combine mathematical methods and web programming techniques.

AB - The goal of the work is the development of optimal routing which will increase the probability of order and will improve interaction of drivers within the system. In this paper the Monte-Carlo method is used to model the taxi order system and improve the taxi drivers management within one company. This method is aimed at optimizing the operation of the taxi application. In this paper we construct the statistical model, it allows to make predictions with the given distributions and with known statistical data, which sector is optimal from the point of obtaining an order. We describe the implementation of the proposed algorithm in the company. Based on this algorithm a part of the taxi application functionality could be created, which allows to optimize the work of drivers. We demonstrate the execution of the algorithm on the example. To create the above-described functional of the taxi application we combine mathematical methods and web programming techniques.

KW - Modeling of economical systems

KW - Monte Carlo method

UR - http://www.scopus.com/inward/record.url?scp=85058669975&partnerID=8YFLogxK

U2 - 10.1145/3274856.3274889

DO - 10.1145/3274856.3274889

M3 - Conference contribution

AN - SCOPUS:85058669975

SP - 154

EP - 157

BT - Proceedings of the 3rd International Conference on Applications in Information Technology, ICAIT 2018

A2 - Vitaly, Klyuev

A2 - Evgeny, Pyshkin

A2 - Bogach, Natalia

PB - Association for Computing Machinery

T2 - 3rd International Conference on Applications in Information Technology, ICAIT 2018

Y2 - 1 November 2018 through 3 November 2018

ER -

ID: 38415097