Toward a route detection method base on detail call records

Hadrien Hendrikx; Miguel Núñez-Del-Prado-Cortez

doi:10.1109/LA-CCI.2016.7885725

Toward a route detection method base on detail call records

Hadrien Hendrikx
, Miguel Núñez-Del-Prado-Cortez

Universidad del Pacífico

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In the last years, smartphones have become the major device for communication enabling Telco operators to capture subscribers' whereabouts. This location information allows computing geostatistics to study transportation systems, traffic jams, origin-destination matrix, etc. The first task to accomplish the aforementioned objectives is to detect routes that people use to go from A to B. Thus, in the present effort, we propose a method to extract automatically routes from CDR data relying on clustering and community detection algorithms.

Original language	English
Title of host publication	2016 IEEE Latin American Conference on Computational Intelligence (LA-CCI)
Subtitle of host publication	Conference proceedings 02 – 04 November 2016 Cartagena, Colombia
Editors	Cristian Rodríguez, Juan Bernardo Gómez
Place of Publication	Cartagena
Publisher	Institute of Electrical and Electronics Engineers Inc.
Number of pages	6
DOIs	https://doi.org/10.1109/LA-CCI.2016.7885725
State	Published - 23 Mar 2017

UN SDGs

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

SDG 9 Industry, Innovation, and Infrastructure
SDG 11 Sustainable Cities and Communities
SDG 17 Partnerships for the Goals

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10.1109/LA-CCI.2016.7885725

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Hendrikx, H., & Núñez-Del-Prado-Cortez, M. (2017). Toward a route detection method base on detail call records. In C. Rodríguez, & J. B. Gómez (Eds.), 2016 IEEE Latin American Conference on Computational Intelligence (LA-CCI): Conference proceedings 02 – 04 November 2016 Cartagena, Colombia Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/LA-CCI.2016.7885725

Hendrikx, Hadrien ; Núñez-Del-Prado-Cortez, Miguel. / Toward a route detection method base on detail call records. 2016 IEEE Latin American Conference on Computational Intelligence (LA-CCI): Conference proceedings 02 – 04 November 2016 Cartagena, Colombia. editor / Cristian Rodríguez ; Juan Bernardo Gómez. Cartagena : Institute of Electrical and Electronics Engineers Inc., 2017.

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title = "Toward a route detection method base on detail call records",

abstract = "In the last years, smartphones have become the major device for communication enabling Telco operators to capture subscribers' whereabouts. This location information allows computing geostatistics to study transportation systems, traffic jams, origin-destination matrix, etc. The first task to accomplish the aforementioned objectives is to detect routes that people use to go from A to B. Thus, in the present effort, we propose a method to extract automatically routes from CDR data relying on clustering and community detection algorithms.",

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Hendrikx, H & Núñez-Del-Prado-Cortez, M 2017, Toward a route detection method base on detail call records. in C Rodríguez & JB Gómez (eds), 2016 IEEE Latin American Conference on Computational Intelligence (LA-CCI): Conference proceedings 02 – 04 November 2016 Cartagena, Colombia. Institute of Electrical and Electronics Engineers Inc., Cartagena. https://doi.org/10.1109/LA-CCI.2016.7885725

Toward a route detection method base on detail call records. / Hendrikx, Hadrien; Núñez-Del-Prado-Cortez, Miguel.
2016 IEEE Latin American Conference on Computational Intelligence (LA-CCI): Conference proceedings 02 – 04 November 2016 Cartagena, Colombia. ed. / Cristian Rodríguez; Juan Bernardo Gómez. Cartagena: Institute of Electrical and Electronics Engineers Inc., 2017.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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PY - 2017/3/23

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N2 - In the last years, smartphones have become the major device for communication enabling Telco operators to capture subscribers' whereabouts. This location information allows computing geostatistics to study transportation systems, traffic jams, origin-destination matrix, etc. The first task to accomplish the aforementioned objectives is to detect routes that people use to go from A to B. Thus, in the present effort, we propose a method to extract automatically routes from CDR data relying on clustering and community detection algorithms.

AB - In the last years, smartphones have become the major device for communication enabling Telco operators to capture subscribers' whereabouts. This location information allows computing geostatistics to study transportation systems, traffic jams, origin-destination matrix, etc. The first task to accomplish the aforementioned objectives is to detect routes that people use to go from A to B. Thus, in the present effort, we propose a method to extract automatically routes from CDR data relying on clustering and community detection algorithms.

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M3 - Conference contribution

BT - 2016 IEEE Latin American Conference on Computational Intelligence (LA-CCI)

A2 - Rodríguez, Cristian

A2 - Gómez, Juan Bernardo

PB - Institute of Electrical and Electronics Engineers Inc.

CY - Cartagena

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Hendrikx H, Núñez-Del-Prado-Cortez M. Toward a route detection method base on detail call records. In Rodríguez C, Gómez JB, editors, 2016 IEEE Latin American Conference on Computational Intelligence (LA-CCI): Conference proceedings 02 – 04 November 2016 Cartagena, Colombia. Cartagena: Institute of Electrical and Electronics Engineers Inc. 2017 doi: 10.1109/LA-CCI.2016.7885725

Toward a route detection method base on detail call records

Abstract

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