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Smartphone-based Architecture for Smart Cities

Published: 02 November 2015 Publication History

Abstract

Urban areas now account for more than half of the world's population, with the United Nations (UN) forecasting that by 2050 this number is expected to rise up to 70 percent as a result of urban growth and migration from rural areas. Increasing population density in urban environments demands adequate provision of services and infrastructure, In addition to other major challenges including air pollution, traffic congestion, health concerns, energy and waste management. Smart cities promise to leverage advances in information and communication technology to improve the quality of life for their residents in a number of ways. There are numerous applications for smart cities but the costs associated with some of the sensors used are limiting the growth of smart city technologies. Today smartphones include powerful sensors which can be accessed through customizable applications. This paper present an architecture for using sensory data generated by smartphones in order to improve the public transportation systems. The architecture provide transit officials a real time view of user demand for their systems, accounting capabilities for each bus stop, and unparalleled planning capability for additional bus routes.

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  • (2023)A Comparison Study Of Smart City Application In Dubai And Jakarta2023 International Conference on Digital Business and Technology Management (ICONDBTM)10.1109/ICONDBTM59210.2023.10327217(1-5)Online publication date: 2-Aug-2023
  • (2022)Do Smart Cities Technologies Contribute to Revenue Performance? Evidence from U.S. Local GovernmentsPublic Performance & Management Review10.1080/15309576.2022.207624845:5(1155-1180)Online publication date: 13-Jun-2022
  • (2021)An IoT-based contribution to improve mobility of the visually impaired in Smart CitiesComputing10.1007/s00607-021-00947-5Online publication date: 17-Apr-2021
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cover image ACM Conferences
DIVANet '15: Proceedings of the 5th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications
November 2015
124 pages
ISBN:9781450337601
DOI:10.1145/2815347
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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Published: 02 November 2015

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  • This work is partially supported by NSERC DIVA Network

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Overall Acceptance Rate 70 of 308 submissions, 23%

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Cited By

View all
  • (2023)A Comparison Study Of Smart City Application In Dubai And Jakarta2023 International Conference on Digital Business and Technology Management (ICONDBTM)10.1109/ICONDBTM59210.2023.10327217(1-5)Online publication date: 2-Aug-2023
  • (2022)Do Smart Cities Technologies Contribute to Revenue Performance? Evidence from U.S. Local GovernmentsPublic Performance & Management Review10.1080/15309576.2022.207624845:5(1155-1180)Online publication date: 13-Jun-2022
  • (2021)An IoT-based contribution to improve mobility of the visually impaired in Smart CitiesComputing10.1007/s00607-021-00947-5Online publication date: 17-Apr-2021
  • (2018)Supporting Facility Management Processes through End-Users’ Integration and Coordinated BIM-GIS TechnologiesISPRS International Journal of Geo-Information10.3390/ijgi70501917:5(191)Online publication date: 16-May-2018
  • (2016)An architecture for health data collection using off-the-shelf health sensors2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA)10.1109/MeMeA.2016.7533815(1-6)Online publication date: May-2016
  • (2016)Greener and Smarter Phones for Future Cities: Characterizing the Impact of GPS Signal Strength on Power ConsumptionIEEE Access10.1109/ACCESS.2016.25327454(858-868)Online publication date: 2016

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