Accuracy of Travel Time Estimation using Bluetooth Technology

Case Study Limfjord Tunnel Aalborg

Bahar Namaki Araghi, Kristian Skoven Pedersen, Lars Tørholm Christensen, Rajesh Krishnan, Harry Lahrmann

Publikation: Bidrag til tidsskriftKonferenceartikel i tidsskriftForskningpeer review

4 Citationer (Scopus)
1092 Downloads (Pure)

Resumé

Short-term travel time information plays a critical role in Advanced Traffic Information
Systems (ATIS) and Advanced Traffic Management Systems (ATMS). In this context, the need
for accurate and reliable travel time information sources is becoming increasingly important.
Bluetooth Technology (BT) has been used as a relatively new cost-effective source of travel
time estimation. However, due to low sampling rate of BT compared to other sensor
technologies, existence of outliers may significantly affect the accuracy and reliability of the
travel time estimates obtained using BT. In this study, the concept of outliers and
corresponding impacts on travel time accuracy are discussed. Four different estimators named
Min-BT, Max-BT, Med-BT and Avg-BT with different outlier detection logic are presented in
this paper. These methods are used to estimate travel times using a BT derived dataset. In order
to quantify the accuracy and robustness of these estimators against outliers, a comparative study
between BT and Floating Car Data (FCD) is conducted. Results show that the Min-BT and
Med-BT are more robust concerning the existence of outliers in the dataset and can provide
more accurate travel time estimates compare to Max-BT and Avg-BT.
OriginalsprogEngelsk
TidsskriftITS World Congress
Antal sider12
ISSNx000-0181
StatusUdgivet - 2012
BegivenhedITS World Congress: Smarter on the way - Messe Wien Congress Center, Wien, Østrig
Varighed: 22 okt. 201226 okt. 2012

Konference

KonferenceITS World Congress
LokationMesse Wien Congress Center
LandØstrig
ByWien
Periode22/10/201226/10/2012

Fingerprint

Bluetooth
Travel time
Tunnels
Advanced traffic management systems
Railroad cars

Bibliografisk note

Proceedings CD-Rom

Citer dette

Araghi, Bahar Namaki ; Skoven Pedersen, Kristian ; Tørholm Christensen, Lars ; Krishnan, Rajesh ; Lahrmann, Harry. / Accuracy of Travel Time Estimation using Bluetooth Technology : Case Study Limfjord Tunnel Aalborg. I: ITS World Congress. 2012.
@inproceedings{95cacf995ccd4610984eade8daf87f51,
title = "Accuracy of Travel Time Estimation using Bluetooth Technology: Case Study Limfjord Tunnel Aalborg",
abstract = "Short-term travel time information plays a critical role in Advanced Traffic InformationSystems (ATIS) and Advanced Traffic Management Systems (ATMS). In this context, the needfor accurate and reliable travel time information sources is becoming increasingly important.Bluetooth Technology (BT) has been used as a relatively new cost-effective source of traveltime estimation. However, due to low sampling rate of BT compared to other sensortechnologies, existence of outliers may significantly affect the accuracy and reliability of thetravel time estimates obtained using BT. In this study, the concept of outliers andcorresponding impacts on travel time accuracy are discussed. Four different estimators namedMin-BT, Max-BT, Med-BT and Avg-BT with different outlier detection logic are presented inthis paper. These methods are used to estimate travel times using a BT derived dataset. In orderto quantify the accuracy and robustness of these estimators against outliers, a comparative studybetween BT and Floating Car Data (FCD) is conducted. Results show that the Min-BT andMed-BT are more robust concerning the existence of outliers in the dataset and can providemore accurate travel time estimates compare to Max-BT and Avg-BT.",
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Accuracy of Travel Time Estimation using Bluetooth Technology : Case Study Limfjord Tunnel Aalborg. / Araghi, Bahar Namaki; Skoven Pedersen, Kristian; Tørholm Christensen, Lars ; Krishnan, Rajesh; Lahrmann, Harry.

I: ITS World Congress, 2012.

Publikation: Bidrag til tidsskriftKonferenceartikel i tidsskriftForskningpeer review

TY - GEN

T1 - Accuracy of Travel Time Estimation using Bluetooth Technology

T2 - Case Study Limfjord Tunnel Aalborg

AU - Araghi, Bahar Namaki

AU - Skoven Pedersen, Kristian

AU - Tørholm Christensen, Lars

AU - Krishnan, Rajesh

AU - Lahrmann, Harry

N1 - Proceedings CD-Rom

PY - 2012

Y1 - 2012

N2 - Short-term travel time information plays a critical role in Advanced Traffic InformationSystems (ATIS) and Advanced Traffic Management Systems (ATMS). In this context, the needfor accurate and reliable travel time information sources is becoming increasingly important.Bluetooth Technology (BT) has been used as a relatively new cost-effective source of traveltime estimation. However, due to low sampling rate of BT compared to other sensortechnologies, existence of outliers may significantly affect the accuracy and reliability of thetravel time estimates obtained using BT. In this study, the concept of outliers andcorresponding impacts on travel time accuracy are discussed. Four different estimators namedMin-BT, Max-BT, Med-BT and Avg-BT with different outlier detection logic are presented inthis paper. These methods are used to estimate travel times using a BT derived dataset. In orderto quantify the accuracy and robustness of these estimators against outliers, a comparative studybetween BT and Floating Car Data (FCD) is conducted. Results show that the Min-BT andMed-BT are more robust concerning the existence of outliers in the dataset and can providemore accurate travel time estimates compare to Max-BT and Avg-BT.

AB - Short-term travel time information plays a critical role in Advanced Traffic InformationSystems (ATIS) and Advanced Traffic Management Systems (ATMS). In this context, the needfor accurate and reliable travel time information sources is becoming increasingly important.Bluetooth Technology (BT) has been used as a relatively new cost-effective source of traveltime estimation. However, due to low sampling rate of BT compared to other sensortechnologies, existence of outliers may significantly affect the accuracy and reliability of thetravel time estimates obtained using BT. In this study, the concept of outliers andcorresponding impacts on travel time accuracy are discussed. Four different estimators namedMin-BT, Max-BT, Med-BT and Avg-BT with different outlier detection logic are presented inthis paper. These methods are used to estimate travel times using a BT derived dataset. In orderto quantify the accuracy and robustness of these estimators against outliers, a comparative studybetween BT and Floating Car Data (FCD) is conducted. Results show that the Min-BT andMed-BT are more robust concerning the existence of outliers in the dataset and can providemore accurate travel time estimates compare to Max-BT and Avg-BT.

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M3 - Conference article in Journal

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SN - x000-0181

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