Evaluating mobility models for temporal prediction with high-granularity mobility data

Yohan Chon, Hyojeong Shin, Elmurod Talipov, Hojung Cha

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

57 Citations (Scopus)

Abstract

A mobility model is an essential requirement in accurately predicting an individual's future location. While extensive studies have been conducted to predict human mobility, previous work used coarse-grained mobility data with limited ability to capture human movements at a fine-grained level. In this paper, we empirically analyze several mobility models for predicting temporal behavior of an individual user. Unlike previous approaches, which employed coarse-grained mobility data with partial temporal-coverage, we use fine-grained and continuous mobility data for the evaluation of mobility models.We explore the regularity and predictability of human mobility, and evaluate location-dependent and location-independent models with several feature-aided schemes. Our experimental results show that a location-dependent predictor is better than a location-independent predictor for predicting temporal behavior of individual user. The duration of stay at a location is strongly correlated to the arrival time at the current location and the return-tendency to the next location, rather than recent k location sequences.We also find that false-positive predictions can be reduced by adaptive use of mobility models.

Original languageEnglish
Title of host publication2012 IEEE International Conference on Pervasive Computing and Communications, PerCom 2012
Pages206-212
Number of pages7
DOIs
Publication statusPublished - 2012 Jun 4
Event10th IEEE International Conference on Pervasive Computing and Communications, PerCom 2012 - Lugano, Switzerland
Duration: 2012 Mar 192012 Mar 23

Other

Other10th IEEE International Conference on Pervasive Computing and Communications, PerCom 2012
CountrySwitzerland
CityLugano
Period12/3/1912/3/23

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

Cite this

Chon, Y., Shin, H., Talipov, E., & Cha, H. (2012). Evaluating mobility models for temporal prediction with high-granularity mobility data. In 2012 IEEE International Conference on Pervasive Computing and Communications, PerCom 2012 (pp. 206-212). [6199868] https://doi.org/10.1109/PerCom.2012.6199868
Chon, Yohan ; Shin, Hyojeong ; Talipov, Elmurod ; Cha, Hojung. / Evaluating mobility models for temporal prediction with high-granularity mobility data. 2012 IEEE International Conference on Pervasive Computing and Communications, PerCom 2012. 2012. pp. 206-212
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Chon, Y, Shin, H, Talipov, E & Cha, H 2012, Evaluating mobility models for temporal prediction with high-granularity mobility data. in 2012 IEEE International Conference on Pervasive Computing and Communications, PerCom 2012., 6199868, pp. 206-212, 10th IEEE International Conference on Pervasive Computing and Communications, PerCom 2012, Lugano, Switzerland, 12/3/19. https://doi.org/10.1109/PerCom.2012.6199868

Evaluating mobility models for temporal prediction with high-granularity mobility data. / Chon, Yohan; Shin, Hyojeong; Talipov, Elmurod; Cha, Hojung.

2012 IEEE International Conference on Pervasive Computing and Communications, PerCom 2012. 2012. p. 206-212 6199868.

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

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Chon Y, Shin H, Talipov E, Cha H. Evaluating mobility models for temporal prediction with high-granularity mobility data. In 2012 IEEE International Conference on Pervasive Computing and Communications, PerCom 2012. 2012. p. 206-212. 6199868 https://doi.org/10.1109/PerCom.2012.6199868