Mapping of Sensor and Route Coordinates for Smart Cities

Yasir Saleem; Noel Crespi

doi:10.1109/compsac.2018.00087

Mapping of Sensor and Route Coordinates for Smart Cities

Yasir Saleem, Noel Crespi

Institut Mines-Télécom

Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (Non-Journal item)

2 Citations (Scopus)

Abstract

Over the last decade, the evolution of the Internet of Things (IoT) has resulted in a drastic increase in the development of smart cities, including smart parking and intelligent transportation systems (ITS). Smart cities combine a variety of sensors (such as traffic, parking and weather sensors) deployed within these cities. These sensors are used for various applications, such as transportation, parking and weather forecasting. We propose an approach for the mapping of traffic sensors with route coordinates in order to analyze traffic conditions (e.g., level of congestion) on the roadways. We present an algorithm and provide two illustrative examples that cover all of the possible mapping scenarios. We also evaluate the performance of our proposed approach in terms of sensors' correct detection, missed detection and false detection on the routes. Our work can be used for the development of various smart city applications, such as traffic management and smart parking.

Original language	English
Title of host publication	Proceedings - 2018 IEEE 42nd Annual Computer Software and Applications Conference, COMPSAC 2018
Editors	Chung-Horng Lung, Thomas Conte, Ling Liu, Toyokazu Akiyama, Kamrul Hasan, Edmundo Tovar, Hiroki Takakura, William Claycomb, Stelvio Cimato, Ji-Jiang Yang, Zhiyong Zhang, Sheikh Iqbal Ahamed, Sorel Reisman, Claudio Demartini, Motonori Nakamura
Publisher	IEEE Press
Pages	570-576
Number of pages	7
ISBN (Electronic)	9781538626665
ISBN (Print)	9781538626672
DOIs	https://doi.org/10.1109/compsac.2018.00087
Publication status	Published - 22 Jun 2018
Externally published	Yes

Publication series

Name	Proceedings - International Computer Software and Applications Conference
Volume	1
ISSN (Print)	0730-3157

Keywords

Internet of Things
Smart cities
IoT
Coordinate Mapping
Sensor Coordinates
Route Coordinates
Internet of Things (IoT)
Smart Cities

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/compsac.2018.00087

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Saleem, Y., & Crespi, N. (2018). Mapping of Sensor and Route Coordinates for Smart Cities. In C.-H. Lung, T. Conte, L. Liu, T. Akiyama, K. Hasan, E. Tovar, H. Takakura, W. Claycomb, S. Cimato, J.-J. Yang, Z. Zhang, S. I. Ahamed, S. Reisman, C. Demartini, & M. Nakamura (Eds.), Proceedings - 2018 IEEE 42nd Annual Computer Software and Applications Conference, COMPSAC 2018 (pp. 570-576). Article 8377712 (Proceedings - International Computer Software and Applications Conference; Vol. 1). IEEE Press. https://doi.org/10.1109/compsac.2018.00087

Saleem, Yasir ; Crespi, Noel. / Mapping of Sensor and Route Coordinates for Smart Cities. Proceedings - 2018 IEEE 42nd Annual Computer Software and Applications Conference, COMPSAC 2018. editor / Chung-Horng Lung ; Thomas Conte ; Ling Liu ; Toyokazu Akiyama ; Kamrul Hasan ; Edmundo Tovar ; Hiroki Takakura ; William Claycomb ; Stelvio Cimato ; Ji-Jiang Yang ; Zhiyong Zhang ; Sheikh Iqbal Ahamed ; Sorel Reisman ; Claudio Demartini ; Motonori Nakamura. IEEE Press, 2018. pp. 570-576 (Proceedings - International Computer Software and Applications Conference).

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title = "Mapping of Sensor and Route Coordinates for Smart Cities",

abstract = "Over the last decade, the evolution of the Internet of Things (IoT) has resulted in a drastic increase in the development of smart cities, including smart parking and intelligent transportation systems (ITS). Smart cities combine a variety of sensors (such as traffic, parking and weather sensors) deployed within these cities. These sensors are used for various applications, such as transportation, parking and weather forecasting. We propose an approach for the mapping of traffic sensors with route coordinates in order to analyze traffic conditions (e.g., level of congestion) on the roadways. We present an algorithm and provide two illustrative examples that cover all of the possible mapping scenarios. We also evaluate the performance of our proposed approach in terms of sensors' correct detection, missed detection and false detection on the routes. Our work can be used for the development of various smart city applications, such as traffic management and smart parking.",

keywords = "Internet of Things, Smart cities, IoT, Coordinate Mapping, Sensor Coordinates, Route Coordinates, Internet of Things (IoT), Smart Cities",

author = "Yasir Saleem and Noel Crespi",

note = "Funding Information: VII. ACKNOWLEDGMENT This research was supported by the European Union{\textquoteright}s Horizon 2020 research and innovationprogramme under grant agreement No 723156, the Swiss State Secretariat for Education, Research and Innovation (SERI) and the South-Korean Institute for Information & Communications TechnologyPro-motion (IITP) grant funded by the Korea government (MISP) (No. R7115-16-0002). Publisher Copyright: {\textcopyright} 2018 IEEE.",

year = "2018",

month = jun,

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doi = "10.1109/compsac.2018.00087",

language = "English",

isbn = "9781538626672",

series = "Proceedings - International Computer Software and Applications Conference",

publisher = "IEEE Press",

pages = "570--576",

editor = "Chung-Horng Lung and Thomas Conte and Ling Liu and Toyokazu Akiyama and Kamrul Hasan and Edmundo Tovar and Hiroki Takakura and William Claycomb and Stelvio Cimato and Ji-Jiang Yang and Zhiyong Zhang and Ahamed, {Sheikh Iqbal} and Sorel Reisman and Claudio Demartini and Motonori Nakamura",

booktitle = "Proceedings - 2018 IEEE 42nd Annual Computer Software and Applications Conference, COMPSAC 2018",

address = "United States of America",

}

Saleem, Y & Crespi, N 2018, Mapping of Sensor and Route Coordinates for Smart Cities. in C-H Lung, T Conte, L Liu, T Akiyama, K Hasan, E Tovar, H Takakura, W Claycomb, S Cimato, J-J Yang, Z Zhang, SI Ahamed, S Reisman, C Demartini & M Nakamura (eds), Proceedings - 2018 IEEE 42nd Annual Computer Software and Applications Conference, COMPSAC 2018., 8377712, Proceedings - International Computer Software and Applications Conference, vol. 1, IEEE Press, pp. 570-576. https://doi.org/10.1109/compsac.2018.00087

Mapping of Sensor and Route Coordinates for Smart Cities. / Saleem, Yasir; Crespi, Noel.
Proceedings - 2018 IEEE 42nd Annual Computer Software and Applications Conference, COMPSAC 2018. ed. / Chung-Horng Lung; Thomas Conte; Ling Liu; Toyokazu Akiyama; Kamrul Hasan; Edmundo Tovar; Hiroki Takakura; William Claycomb; Stelvio Cimato; Ji-Jiang Yang; Zhiyong Zhang; Sheikh Iqbal Ahamed; Sorel Reisman; Claudio Demartini; Motonori Nakamura. IEEE Press, 2018. p. 570-576 8377712 (Proceedings - International Computer Software and Applications Conference; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (Non-Journal item)

TY - GEN

T1 - Mapping of Sensor and Route Coordinates for Smart Cities

AU - Saleem, Yasir

AU - Crespi, Noel

N1 - Funding Information: VII. ACKNOWLEDGMENT This research was supported by the European Union’s Horizon 2020 research and innovationprogramme under grant agreement No 723156, the Swiss State Secretariat for Education, Research and Innovation (SERI) and the South-Korean Institute for Information & Communications TechnologyPro-motion (IITP) grant funded by the Korea government (MISP) (No. R7115-16-0002). Publisher Copyright: © 2018 IEEE.

PY - 2018/6/22

Y1 - 2018/6/22

N2 - Over the last decade, the evolution of the Internet of Things (IoT) has resulted in a drastic increase in the development of smart cities, including smart parking and intelligent transportation systems (ITS). Smart cities combine a variety of sensors (such as traffic, parking and weather sensors) deployed within these cities. These sensors are used for various applications, such as transportation, parking and weather forecasting. We propose an approach for the mapping of traffic sensors with route coordinates in order to analyze traffic conditions (e.g., level of congestion) on the roadways. We present an algorithm and provide two illustrative examples that cover all of the possible mapping scenarios. We also evaluate the performance of our proposed approach in terms of sensors' correct detection, missed detection and false detection on the routes. Our work can be used for the development of various smart city applications, such as traffic management and smart parking.

AB - Over the last decade, the evolution of the Internet of Things (IoT) has resulted in a drastic increase in the development of smart cities, including smart parking and intelligent transportation systems (ITS). Smart cities combine a variety of sensors (such as traffic, parking and weather sensors) deployed within these cities. These sensors are used for various applications, such as transportation, parking and weather forecasting. We propose an approach for the mapping of traffic sensors with route coordinates in order to analyze traffic conditions (e.g., level of congestion) on the roadways. We present an algorithm and provide two illustrative examples that cover all of the possible mapping scenarios. We also evaluate the performance of our proposed approach in terms of sensors' correct detection, missed detection and false detection on the routes. Our work can be used for the development of various smart city applications, such as traffic management and smart parking.

KW - Internet of Things

KW - Smart cities

KW - IoT

KW - Coordinate Mapping

KW - Sensor Coordinates

KW - Route Coordinates

KW - Internet of Things (IoT)

KW - Smart Cities

UR - http://www.scopus.com/inward/record.url?scp=85055437320&partnerID=8YFLogxK

U2 - 10.1109/compsac.2018.00087

DO - 10.1109/compsac.2018.00087

M3 - Conference Proceeding (Non-Journal item)

SN - 9781538626672

T3 - Proceedings - International Computer Software and Applications Conference

SP - 570

EP - 576

BT - Proceedings - 2018 IEEE 42nd Annual Computer Software and Applications Conference, COMPSAC 2018

A2 - Lung, Chung-Horng

A2 - Conte, Thomas

A2 - Liu, Ling

A2 - Akiyama, Toyokazu

A2 - Hasan, Kamrul

A2 - Tovar, Edmundo

A2 - Takakura, Hiroki

A2 - Claycomb, William

A2 - Cimato, Stelvio

A2 - Yang, Ji-Jiang

A2 - Zhang, Zhiyong

A2 - Ahamed, Sheikh Iqbal

A2 - Reisman, Sorel

A2 - Demartini, Claudio

A2 - Nakamura, Motonori

PB - IEEE Press

ER -

Saleem Y, Crespi N. Mapping of Sensor and Route Coordinates for Smart Cities. In Lung CH, Conte T, Liu L, Akiyama T, Hasan K, Tovar E, Takakura H, Claycomb W, Cimato S, Yang JJ, Zhang Z, Ahamed SI, Reisman S, Demartini C, Nakamura M, editors, Proceedings - 2018 IEEE 42nd Annual Computer Software and Applications Conference, COMPSAC 2018. IEEE Press. 2018. p. 570-576. 8377712. (Proceedings - International Computer Software and Applications Conference). doi: 10.1109/compsac.2018.00087

Mapping of Sensor and Route Coordinates for Smart Cities

Abstract

Publication series

Keywords

UN SDGs

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