Generating Lane Level Road Data from Vehicle Trajectories using Kernel Density Estimation

Champika Ranasinghe Uduwaragoda; A.S. Perera; S.A.D Dias

doi:10.1109/ITSC.2013.6728262

Generating Lane Level Road Data from Vehicle Trajectories using Kernel Density Estimation

Champika Ranasinghe Uduwaragoda
, A.S. Perera
, S.A.D Dias

Datamanagement & Biometrics

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

51 Citations (Scopus)

Abstract

An informative digital map is a prerequisite for future Intelligent Transportation System (ITS) applications such as lane level navigation systems. Preparing and updating such detailed digital maps by using existing methods such as surveying and image digitization is not practical due to the time and cost involved. We propose a method that statistically mines Global Positioning System (GPS) trajectory data obtained from vehicles to generate a lane level digital map of the road. The proposed method is capable of generating a digital map of the road which contains lane centerlines. The proposed method is independent of the lane width, lane parallelism and can handle lane splits and merges. In addition, a method that can be used to generate a map of lane boundaries is also presented. The proposed methods have been tested using the GPS data collected using vehicles equipped with GPS enabled mobile phones. Results show that the proposed method for lane centerline generation is successful in different road geometries.

Original language	English
Title of host publication	16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	384-391
ISBN (Electronic)	978-1-4799-2914-6
DOIs	https://doi.org/10.1109/ITSC.2013.6728262
Publication status	Published - 2013
Event	16th International IEEE Conference on Intelligent Transportation Systems, ITSC 2013 - Steigenberger Kurhaus Hotel, The Hague, Netherlands Duration: 6 Oct 2013 → 9 Oct 2013 Conference number: 16 http://ieee-itsc13.org/

Publication series

Name	International IEEE Conference on Intelligent Transportation Systems (ITSC)
Publisher	IEEE
Volume	2013
ISSN (Print)	2153-0009
ISSN (Electronic)	2153-0017

Conference

Conference	16th International IEEE Conference on Intelligent Transportation Systems, ITSC 2013
Abbreviated title	ITSC 2013
Country/Territory	Netherlands
City	The Hague
Period	6/10/13 → 9/10/13
Internet address	http://ieee-itsc13.org/

UN SDGs

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

SDG 11 Sustainable Cities and Communities

Keywords

n/a OA procedure

Access to Document

10.1109/ITSC.2013.6728262

Cite this

Ranasinghe Uduwaragoda, C., Perera, A. S., & Dias, S. A. D. (2013). Generating Lane Level Road Data from Vehicle Trajectories using Kernel Density Estimation. In 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013) (pp. 384-391). (International IEEE Conference on Intelligent Transportation Systems (ITSC); Vol. 2013). IEEE. https://doi.org/10.1109/ITSC.2013.6728262

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title = "Generating Lane Level Road Data from Vehicle Trajectories using Kernel Density Estimation",

abstract = "An informative digital map is a prerequisite for future Intelligent Transportation System (ITS) applications such as lane level navigation systems. Preparing and updating such detailed digital maps by using existing methods such as surveying and image digitization is not practical due to the time and cost involved. We propose a method that statistically mines Global Positioning System (GPS) trajectory data obtained from vehicles to generate a lane level digital map of the road. The proposed method is capable of generating a digital map of the road which contains lane centerlines. The proposed method is independent of the lane width, lane parallelism and can handle lane splits and merges. In addition, a method that can be used to generate a map of lane boundaries is also presented. The proposed methods have been tested using the GPS data collected using vehicles equipped with GPS enabled mobile phones. Results show that the proposed method for lane centerline generation is successful in different road geometries.",

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year = "2013",

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language = "English",

series = "International IEEE Conference on Intelligent Transportation Systems (ITSC)",

publisher = "IEEE",

pages = "384--391",

booktitle = "16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)",

address = "United States",

note = "16th International IEEE Conference on Intelligent Transportation Systems, ITSC 2013, ITSC 2013 ; Conference date: 06-10-2013 Through 09-10-2013",

url = "http://ieee-itsc13.org/",

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Ranasinghe Uduwaragoda, C, Perera, AS & Dias, SAD 2013, Generating Lane Level Road Data from Vehicle Trajectories using Kernel Density Estimation. in 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013). International IEEE Conference on Intelligent Transportation Systems (ITSC), vol. 2013, IEEE, Piscataway, NJ, pp. 384-391, 16th International IEEE Conference on Intelligent Transportation Systems, ITSC 2013, The Hague, Netherlands, 6/10/13. https://doi.org/10.1109/ITSC.2013.6728262

Generating Lane Level Road Data from Vehicle Trajectories using Kernel Density Estimation. / Ranasinghe Uduwaragoda, Champika; Perera, A.S.; Dias, S.A.D.
16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013). Piscataway, NJ: IEEE, 2013. p. 384-391 (International IEEE Conference on Intelligent Transportation Systems (ITSC); Vol. 2013).

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

TY - GEN

T1 - Generating Lane Level Road Data from Vehicle Trajectories using Kernel Density Estimation

AU - Ranasinghe Uduwaragoda, Champika

AU - Perera, A.S.

AU - Dias, S.A.D

N1 - Conference code: 16

PY - 2013

Y1 - 2013

N2 - An informative digital map is a prerequisite for future Intelligent Transportation System (ITS) applications such as lane level navigation systems. Preparing and updating such detailed digital maps by using existing methods such as surveying and image digitization is not practical due to the time and cost involved. We propose a method that statistically mines Global Positioning System (GPS) trajectory data obtained from vehicles to generate a lane level digital map of the road. The proposed method is capable of generating a digital map of the road which contains lane centerlines. The proposed method is independent of the lane width, lane parallelism and can handle lane splits and merges. In addition, a method that can be used to generate a map of lane boundaries is also presented. The proposed methods have been tested using the GPS data collected using vehicles equipped with GPS enabled mobile phones. Results show that the proposed method for lane centerline generation is successful in different road geometries.

AB - An informative digital map is a prerequisite for future Intelligent Transportation System (ITS) applications such as lane level navigation systems. Preparing and updating such detailed digital maps by using existing methods such as surveying and image digitization is not practical due to the time and cost involved. We propose a method that statistically mines Global Positioning System (GPS) trajectory data obtained from vehicles to generate a lane level digital map of the road. The proposed method is capable of generating a digital map of the road which contains lane centerlines. The proposed method is independent of the lane width, lane parallelism and can handle lane splits and merges. In addition, a method that can be used to generate a map of lane boundaries is also presented. The proposed methods have been tested using the GPS data collected using vehicles equipped with GPS enabled mobile phones. Results show that the proposed method for lane centerline generation is successful in different road geometries.

KW - n/a OA procedure

U2 - 10.1109/ITSC.2013.6728262

DO - 10.1109/ITSC.2013.6728262

M3 - Conference contribution

T3 - International IEEE Conference on Intelligent Transportation Systems (ITSC)

SP - 384

EP - 391

BT - 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)

PB - IEEE

CY - Piscataway, NJ

T2 - 16th International IEEE Conference on Intelligent Transportation Systems, ITSC 2013

Y2 - 6 October 2013 through 9 October 2013

ER -

Ranasinghe Uduwaragoda C, Perera AS, Dias SAD. Generating Lane Level Road Data from Vehicle Trajectories using Kernel Density Estimation. In 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013). Piscataway, NJ: IEEE. 2013. p. 384-391. (International IEEE Conference on Intelligent Transportation Systems (ITSC)). doi: 10.1109/ITSC.2013.6728262

Generating Lane Level Road Data from Vehicle Trajectories using Kernel Density Estimation

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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Cite this