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Taxi Checker: A Mobile Application for Real-Time Taxi Fare Analysis

Published: 17 September 2014 Publication History

Abstract

Taxi customers tend to use their smartphone to call and manage their taxi and even store details about their favorite taxi driver. Nevertheless, they often do not have the possibility to comprehend how the taxi fare is calculated and if it is correct. In our approach, we developed a smartphone application to track the taxi ride and calculate the fare in real time. At the end of the ride, mean cost calculations for three different sources are presented to the user and the tracked data contributes for community-based fare calculation. The application was tested by experts and will be evaluated in a user study to improve the fare calculation pattern.

References

[1]
M. Kugler, S. Osswald, C. Frank, und M. Lienkamp, "Mobility Tracking System for CO2 Footprint Determination", in Proc. of the 6th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, WA, USA, 2014.
[2]
S. Osswald, D. Zehe, P. Mundhenk, P. Sheth, M. Schaller, S. Schickram, und D. Gleyzes, "HMI Development for a Purpose-built Electric Taxi in Singapore", in Proc. of the 15th International Conference on Human-computer Interaction with Mobile Devices and Services, New York, NY, USA, 2013, S. 434--439.
[3]
A. Doulamis, N. Pelekis, und Y. Theodoridis, "EasyTracker: An Android Application for Capturing Mobility Behavior", in 2012 16th Panhellenic Conference on Informatics (PCI), 2012, S. 357--362.
[4]
M. Swan, "The Quantified Self: Fundamental Disruption in Big Data Science and Biological Discovery", Big Data, Bd. 1, Nr. 2, S. 85--99, Juni 2013.

Cited By

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  • (2022)CabApp: Taksi Yolculuğunuzu Doğru TasarlayınEuropean Journal of Science and Technology10.31590/ejosat.1047422Online publication date: 2-Jan-2022
  • (2022)Taksi Yolculuğu İçin Geliştirilmiş Mobil Uygulamalarda Süreç Modelleri: Yolcu Hakimiyeti Açısından Eksikler ve Yeni Bir Model ÖnerisiEuropean Journal of Science and Technology10.31590/ejosat.1045908Online publication date: 2-Jan-2022
  • (2016)Big Data Mobile Services for New York City Taxi Riders and Drivers2016 IEEE International Conference on Mobile Services (MS)10.1109/MobServ.2016.19(57-64)Online publication date: Jun-2016

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Published In

cover image ACM Other conferences
AutomotiveUI '14: Adjunct Proceedings of the 6th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
September 2014
271 pages
ISBN:9781450307253
DOI:10.1145/2667239
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 September 2014

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Author Tags

  1. Android
  2. Automotive
  3. Smartphones
  4. Taxi
  5. User Study

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  • Refereed limited

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AutomotiveUI '14

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Overall Acceptance Rate 248 of 566 submissions, 44%

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Cited By

View all
  • (2022)CabApp: Taksi Yolculuğunuzu Doğru TasarlayınEuropean Journal of Science and Technology10.31590/ejosat.1047422Online publication date: 2-Jan-2022
  • (2022)Taksi Yolculuğu İçin Geliştirilmiş Mobil Uygulamalarda Süreç Modelleri: Yolcu Hakimiyeti Açısından Eksikler ve Yeni Bir Model ÖnerisiEuropean Journal of Science and Technology10.31590/ejosat.1045908Online publication date: 2-Jan-2022
  • (2016)Big Data Mobile Services for New York City Taxi Riders and Drivers2016 IEEE International Conference on Mobile Services (MS)10.1109/MobServ.2016.19(57-64)Online publication date: Jun-2016

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