skip to main content
10.1145/3054977.3057300acmconferencesArticle/Chapter ViewAbstractPublication PagesiotdiConference Proceedingsconference-collections
short-paper

Human Mobility Modeling on Metropolitan Scale Based on Multiple Cellphone Networks: Poster Abstract

Published:18 April 2017Publication History

ABSTRACT

Modeling human mobility patterns from CDR(Call Detail Record) data is an efficient way to understand the effects of human movements on transportation, society and the environment. Previous human mobility models are focused on single cellphone network CDR data. In the poster, we present a framework to model human mobility patterns on CDR data from multiple cellphone networks. Based on data analysis from multiple cellphone networks, our target is to provide statistic features and mobility patterns in multiple granularities of spatio-temporal resolutions to support novel urban services. Compared with previous work, our approaches aim to establish a more diverse and more stable framework, which is a crucial prerequisite for various smart city services and applications.

References

  1. Sibren Isaacman, Richard A. Becker, Ramón Cáceres, Margaret Martonosi, James Rowland, Alexander Varshavsky, and Walter Willinger. 2012. Human mobility modeling at metropolitan scales. In The 10th International Conference on Mobile Systems, Applications, and Services, MobiSys'12, Ambleside, United Kingdom - June 25-29, 2012. 239--252. DOI:http://dx.doi.org/10.1145/2307636.2307659 Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Fei Miao, Shuo Han, Shan Lin, John A. Stankovic, Qian Wang, Desheng Zhang, Tian He, and George J. Pappas. 2016. Data-Driven Robust Taxi Dispatch Approaches. In 7th ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2016, Vienna, Austria, April 11-14, 2016. 37:1. DOI:http://dx.doi.org/10.1109/ICCPS.2016.7479094 Google ScholarGoogle ScholarCross RefCross Ref
  3. Desheng Zhang, Ye Li, Fan Zhang, Mingming Lu, Yunhuai Liu, and Tian He. 2013. coRide: Carpool Service with a Win-win Fare Model for Large-scale Taxicab Networks (SenSys '13).Google ScholarGoogle Scholar

Recommendations

Comments

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Sign in
  • Published in

    cover image ACM Conferences
    IoTDI '17: Proceedings of the Second International Conference on Internet-of-Things Design and Implementation
    April 2017
    353 pages
    ISBN:9781450349666
    DOI:10.1145/3054977

    Copyright © 2017 ACM

    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 the author(s) 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].

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 18 April 2017

    Permissions

    Request permissions about this article.

    Request Permissions

    Check for updates

    Qualifiers

    • short-paper
    • Research
    • Refereed limited

    Upcoming Conference

    IoTDI '24

PDF Format

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader