Anomalous taxi route detection system based on cloud services

Yu Zi, Yun Luo, Zihao Guang, Lianyong Qi, Taoran Wu, Xuyun Zhang*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

Abstract

Machine learning is very popular right now. We can apply the knowledge of machine learning to deal with some problems in our daily life. Taxi service provides a convenient way of transportation, especially for those who travel to an unfamiliar place. But there can be a risk that the passenger gets overcharged on the unnecessary mileages. To help the passenger to determine whether the taxi driver has made a detour, we propose a solution which is a cloud-based system and applies machine learning algorithms to detect anomaly taxi trajectory for the passenger. This paper briefly describes the research on several state-of-art detection methods. It also demonstrates the system architecture design in detail and gives the reader a big picture on what parts of the application have been implemented.

Original languageEnglish
Title of host publicationCloud Computing, Smart Grid and Innovative Frontiers in Telecommunications
Subtitle of host publication9th EAI International Conference, CloudComp 2019, and 4th EAI International Conference, SmartGIFT 2019, Beijing, China, December 4-5, 2019, and December 21-22, 2019
EditorsXuyun Zhang, Guanfeng Liu, Meikang Qiu, Wei Xiang, Tao Huang
Place of PublicationCham, Switzerland
PublisherSpringer, Springer Nature
Pages240-254
Number of pages15
ISBN (Electronic)9783030485139
ISBN (Print)9783030485122
DOIs
Publication statusPublished - 2020
Externally publishedYes
Event9th EAI International Conference on Cloud Computing, CloudComp 2019 and the 4th EAI International Conference on Smart Grid and Innovative Frontiers in Telecommunications, SmartGIFT 2019 - Beijing, China
Duration: 21 Dec 201922 Dec 2019

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume322 LNICST
ISSN (Print)1867-8211

Conference

Conference9th EAI International Conference on Cloud Computing, CloudComp 2019 and the 4th EAI International Conference on Smart Grid and Innovative Frontiers in Telecommunications, SmartGIFT 2019
CountryChina
CityBeijing
Period21/12/1922/12/19

Keywords

  • Anomaly detection
  • Cloud service
  • Machine learning
  • Taxi route

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  • Cite this

    Zi, Y., Luo, Y., Guang, Z., Qi, L., Wu, T., & Zhang, X. (2020). Anomalous taxi route detection system based on cloud services. In X. Zhang, G. Liu, M. Qiu, W. Xiang, & T. Huang (Eds.), Cloud Computing, Smart Grid and Innovative Frontiers in Telecommunications: 9th EAI International Conference, CloudComp 2019, and 4th EAI International Conference, SmartGIFT 2019, Beijing, China, December 4-5, 2019, and December 21-22, 2019 (pp. 240-254). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 322 LNICST). Cham, Switzerland: Springer, Springer Nature. https://doi.org/10.1007/978-3-030-48513-9_20