Development of an effective travel time prediction method using modified moving average approach

Nihad Karim Chowdhury; Rudra Pratap Deb Nath; Hyunjo Lee; Jaewoo Chang

doi:10.1007/978-3-642-04595-0_16

Development of an effective travel time prediction method using modified moving average approach

Nihad Karim Chowdhury
, Rudra Pratap Deb Nath
, Hyunjo Lee
, Jaewoo Chang

University of Chittagong
Jeonbuk National University

Research output: Contribution to conference › Conference paper › peer-review

12 Scopus citations

Abstract

Prediction of travel time on road network has emerged as a crucial research issue in intelligent transportation system (ITS). Travel time prediction provides information that may allow travelers to change their routes as well as departure time. To provide accurate travel time for travelers is the key challenge in this research area. In this paper, we formulate two new methods which are based on moving average can deal with this kind of challenge. In conventional moving average approach, data may lose at the beginning and end of a series. It may sometimes generate cycles or other movements that are not present in the original data. Our proposed modified method can strongly tackle those kinds of uneven presence of extreme values. We compare the proposed methods with the existing prediction methods like Switching method [10] and NBC method [11]. It is also revealed that proposed methods can reduce error significantly in compared with other existing methods.

Original language	English
Title of host publication	Knowledge-Based and Intelligent Information and Engineering Systems - 13th International Conference, KES 2009, Proceedings
Pages	130-138
Number of pages	9
Edition	PART 1
DOIs	https://doi.org/10.1007/978-3-642-04595-0_16
State	Published - 2009
Event	13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2009 - Santiago, Chile Duration: 2009.09.28 → 2009.09.30

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 1
Volume	5711 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2009
Country/Territory	Chile
City	Santiago
Period	09.09.28 → 09.09.30

UN SDGs

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

SDG 11 Sustainable Cities and Communities

Keywords

Intelligent transportation system
Moving average
NBC method
Switching method
Travel time prediction

Quacquarelli Symonds(QS) Subject Topics

Computer Science & Information Systems

Access to Document

10.1007/978-3-642-04595-0_16

Cite this

Chowdhury, N. K., Nath, R. P. D., Lee, H., & Chang, J. (2009). Development of an effective travel time prediction method using modified moving average approach. In Knowledge-Based and Intelligent Information and Engineering Systems - 13th International Conference, KES 2009, Proceedings (PART 1 ed., pp. 130-138). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5711 LNAI, No. PART 1). https://doi.org/10.1007/978-3-642-04595-0_16

Chowdhury, Nihad Karim ; Nath, Rudra Pratap Deb ; Lee, Hyunjo et al. / Development of an effective travel time prediction method using modified moving average approach. Knowledge-Based and Intelligent Information and Engineering Systems - 13th International Conference, KES 2009, Proceedings. PART 1. ed. 2009. pp. 130-138 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

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title = "Development of an effective travel time prediction method using modified moving average approach",

abstract = "Prediction of travel time on road network has emerged as a crucial research issue in intelligent transportation system (ITS). Travel time prediction provides information that may allow travelers to change their routes as well as departure time. To provide accurate travel time for travelers is the key challenge in this research area. In this paper, we formulate two new methods which are based on moving average can deal with this kind of challenge. In conventional moving average approach, data may lose at the beginning and end of a series. It may sometimes generate cycles or other movements that are not present in the original data. Our proposed modified method can strongly tackle those kinds of uneven presence of extreme values. We compare the proposed methods with the existing prediction methods like Switching method [10] and NBC method [11]. It is also revealed that proposed methods can reduce error significantly in compared with other existing methods.",

keywords = "Intelligent transportation system, Moving average, NBC method, Switching method, Travel time prediction",

author = "Chowdhury, \{Nihad Karim\} and Nath, \{Rudra Pratap Deb\} and Hyunjo Lee and Jaewoo Chang",

year = "2009",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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booktitle = "Knowledge-Based and Intelligent Information and Engineering Systems - 13th International Conference, KES 2009, Proceedings",

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Chowdhury, NK, Nath, RPD, Lee, H & Chang, J 2009, Development of an effective travel time prediction method using modified moving average approach. in Knowledge-Based and Intelligent Information and Engineering Systems - 13th International Conference, KES 2009, Proceedings. PART 1 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 5711 LNAI, pp. 130-138, 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2009, Santiago, Chile, 09.09.28. https://doi.org/10.1007/978-3-642-04595-0_16

Development of an effective travel time prediction method using modified moving average approach. / Chowdhury, Nihad Karim; Nath, Rudra Pratap Deb; Lee, Hyunjo et al.
Knowledge-Based and Intelligent Information and Engineering Systems - 13th International Conference, KES 2009, Proceedings. PART 1. ed. 2009. p. 130-138 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5711 LNAI, No. PART 1).

Research output: Contribution to conference › Conference paper › peer-review

TY - GEN

T1 - Development of an effective travel time prediction method using modified moving average approach

AU - Chowdhury, Nihad Karim

AU - Nath, Rudra Pratap Deb

AU - Lee, Hyunjo

AU - Chang, Jaewoo

PY - 2009

Y1 - 2009

N2 - Prediction of travel time on road network has emerged as a crucial research issue in intelligent transportation system (ITS). Travel time prediction provides information that may allow travelers to change their routes as well as departure time. To provide accurate travel time for travelers is the key challenge in this research area. In this paper, we formulate two new methods which are based on moving average can deal with this kind of challenge. In conventional moving average approach, data may lose at the beginning and end of a series. It may sometimes generate cycles or other movements that are not present in the original data. Our proposed modified method can strongly tackle those kinds of uneven presence of extreme values. We compare the proposed methods with the existing prediction methods like Switching method [10] and NBC method [11]. It is also revealed that proposed methods can reduce error significantly in compared with other existing methods.

AB - Prediction of travel time on road network has emerged as a crucial research issue in intelligent transportation system (ITS). Travel time prediction provides information that may allow travelers to change their routes as well as departure time. To provide accurate travel time for travelers is the key challenge in this research area. In this paper, we formulate two new methods which are based on moving average can deal with this kind of challenge. In conventional moving average approach, data may lose at the beginning and end of a series. It may sometimes generate cycles or other movements that are not present in the original data. Our proposed modified method can strongly tackle those kinds of uneven presence of extreme values. We compare the proposed methods with the existing prediction methods like Switching method [10] and NBC method [11]. It is also revealed that proposed methods can reduce error significantly in compared with other existing methods.

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KW - Moving average

KW - NBC method

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SN - 3642045944

SN - 9783642045943

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Knowledge-Based and Intelligent Information and Engineering Systems - 13th International Conference, KES 2009, Proceedings

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Y2 - 28 September 2009 through 30 September 2009

ER -

Chowdhury NK, Nath RPD, Lee H, Chang J. Development of an effective travel time prediction method using modified moving average approach. In Knowledge-Based and Intelligent Information and Engineering Systems - 13th International Conference, KES 2009, Proceedings. PART 1 ed. 2009. p. 130-138. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). doi: 10.1007/978-3-642-04595-0_16

Development of an effective travel time prediction method using modified moving average approach

Abstract

Publication series

Conference

UN SDGs

Keywords

Quacquarelli Symonds(QS) Subject Topics

Access to Document

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