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RESEARCH AND DEVELOPMENT OF THE APPLICATION FOR AUTOMATION OF THE TAXI DISPATHCER WORKPLACE

Ilya Mikhailov, PhD Assoc. Prof. Pavel Balakshin

First published: 2017-06-20https://doi.org/10.5593/sgem2017/21/s07.069View metrics

Abstract

Provision of the most comfortable and fast passenger transportation is the most significant goal for any taxi organization. Undoubtedly, the quality of cars and driverпїЅs professionalism is an important factor for the organizationпїЅs success, however, the initial impression of the customer often depends on the quality and speed of dispatcherпїЅs work. Failure to respond quickly to clientпїЅs question or an error during the order processing will result to negative customer views on the organization's ability to perform its functions. In worst case this may lead to a loss of an order or even a customer. Thus, it is necessary to simplify and speed up the work of the dispatcher by automating frequent tasks. The article deals with the design and development of the informational system for dispatchers and managers of a taxi organization. Significant issues, faced during development, their workarounds and solutions are presented. Special attention to the design of the application architecture and the conceptual database model is paid in order to support multiple platforms and possibility to scale and increase functionality in the future.

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Publication details

Title
RESEARCH AND DEVELOPMENT OF THE APPLICATION FOR AUTOMATION OF THE TAXI DISPATHCER WORKPLACE
Authors
Ilya Mikhailov, PhD Assoc. Prof. Pavel Balakshin
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 17th International Multidisciplinary Scientific GeoConference SGEM2017, Informatics, Geoinformatics and Remote Sensing
Publisher
STEF92 Technology
Year
2017
Pages
541-548
SWS Citekey
Mikhailov20177541548
ISSN
1314-2704
ISBN
978-619-7408-01-0
Language
en
Publication type
Conference Paper
Keywords
References3
  1. Judd C., Alan B. K., Disruptive change in the taxi business: The case of Uber, The American Economic Review, vol. 106/issue 5, pp 177 182, 2016.

  2. Hibernate ORM 5.2.10. Final User Guide, Retrieved 15 April 2017, from https://docs.jboss.org/hibernate/orm/3.3/reference/en/html/performance.html#performan ce-fetching

  3. About FCM Messages, Retrieved 17 April 2017, from https://firebase.google.com/docs/cloud-messaging/concept-options

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