Utilizing cellular-based vehicle probing (CVP) data in traffic management the experience of deployment, testing and validation

Chien Pang Liu; Yen Yu Chen; Mu Han Wang

Utilizing cellular-based vehicle probing (CVP) data in traffic management the experience of deployment, testing and validation

Chien Pang Liu, Yen Yu Chen^*, Mu Han Wang

^*Corresponding author for this work

Department of Transportation and Logistics Management

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

Abstract

Cellular-based vehicle probing (CVP) technology have gradually become the most potential source of traffic data collecting with the advance of cloud computing. Traffic data collection is the base of travel demand management. In the past, traffic data, such as flow, travel time and velocities of road segments, are obtained from the specific equipment like vehicle detector (VD), global position system (GPS) and electronic toll collection (ETC) system. These methods all need to invest huge amount of capital to build and maintain the infrastructure for the purpose of data collection. Compared to the other approaches, CVP may be a more cost-effective method for traffic data collection. In addition to travel time, this study proposed a model to estimate traffic flow and turning ratio, which are the most challenge parts, from CVP data. The result shows that the model has good estimation capability. The MAPE (mean absolute percentage error) of traffic flow and travel time are 20% and 16% separately.

Original language	English
Title of host publication	Transportation Systems in the Connected Era - Proceedings of the 23rd International Conference of Hong Kong Society for Transportation Studies, HKSTS 2018
Editors	Weihua Gu, Shuaian Wang
Publisher	Hong Kong Society for Transportation Studies Limited
Pages	11-17
Number of pages	7
ISBN (Electronic)	9789881581471
State	Published - 2018
Event	23rd International Conference of Hong Kong Society for Transportation Studies: Transportation Systems in the Connected Era, HKSTS 2018 - Hong Kong, Hong Kong Duration: 8 Dec 2018 → 10 Dec 2018

Publication series

Name	Transportation Systems in the Connected Era - Proceedings of the 23rd International Conference of Hong Kong Society for Transportation Studies, HKSTS 2018

Conference

Conference	23rd International Conference of Hong Kong Society for Transportation Studies: Transportation Systems in the Connected Era, HKSTS 2018
Country/Territory	Hong Kong
City	Hong Kong
Period	8/12/18 → 10/12/18

Keywords

Cellular-based Vehicle Probing (CVP)
Traffic Flow
Travel Time
Turning Ratio

Cite this

Liu, C. P., Chen, Y. Y., & Wang, M. H. (2018). Utilizing cellular-based vehicle probing (CVP) data in traffic management the experience of deployment, testing and validation. In W. Gu, & S. Wang (Eds.), Transportation Systems in the Connected Era - Proceedings of the 23rd International Conference of Hong Kong Society for Transportation Studies, HKSTS 2018 (pp. 11-17). (Transportation Systems in the Connected Era - Proceedings of the 23rd International Conference of Hong Kong Society for Transportation Studies, HKSTS 2018). Hong Kong Society for Transportation Studies Limited.

Liu, Chien Pang ; Chen, Yen Yu ; Wang, Mu Han. / Utilizing cellular-based vehicle probing (CVP) data in traffic management the experience of deployment, testing and validation. Transportation Systems in the Connected Era - Proceedings of the 23rd International Conference of Hong Kong Society for Transportation Studies, HKSTS 2018. editor / Weihua Gu ; Shuaian Wang. Hong Kong Society for Transportation Studies Limited, 2018. pp. 11-17 (Transportation Systems in the Connected Era - Proceedings of the 23rd International Conference of Hong Kong Society for Transportation Studies, HKSTS 2018).

@inproceedings{e393e308ce7b45169f5148a94949bdd6,

title = "Utilizing cellular-based vehicle probing (CVP) data in traffic management the experience of deployment, testing and validation",

abstract = "Cellular-based vehicle probing (CVP) technology have gradually become the most potential source of traffic data collecting with the advance of cloud computing. Traffic data collection is the base of travel demand management. In the past, traffic data, such as flow, travel time and velocities of road segments, are obtained from the specific equipment like vehicle detector (VD), global position system (GPS) and electronic toll collection (ETC) system. These methods all need to invest huge amount of capital to build and maintain the infrastructure for the purpose of data collection. Compared to the other approaches, CVP may be a more cost-effective method for traffic data collection. In addition to travel time, this study proposed a model to estimate traffic flow and turning ratio, which are the most challenge parts, from CVP data. The result shows that the model has good estimation capability. The MAPE (mean absolute percentage error) of traffic flow and travel time are 20% and 16% separately.",

keywords = "Cellular-based Vehicle Probing (CVP), Traffic Flow, Travel Time, Turning Ratio",

author = "Liu, {Chien Pang} and Chen, {Yen Yu} and Wang, {Mu Han}",

note = "Publisher Copyright: {\textcopyright} 2018 Transportation Systems in the Connected Era - Proceedings of the 23rd International Conference of Hong Kong Society for Transportation Studies, HKSTS 2018. All rights reserved.; 23rd International Conference of Hong Kong Society for Transportation Studies: Transportation Systems in the Connected Era, HKSTS 2018 ; Conference date: 08-12-2018 Through 10-12-2018",

year = "2018",

language = "English",

series = "Transportation Systems in the Connected Era - Proceedings of the 23rd International Conference of Hong Kong Society for Transportation Studies, HKSTS 2018",

publisher = "Hong Kong Society for Transportation Studies Limited",

pages = "11--17",

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Liu, CP, Chen, YY & Wang, MH 2018, Utilizing cellular-based vehicle probing (CVP) data in traffic management the experience of deployment, testing and validation. in W Gu & S Wang (eds), Transportation Systems in the Connected Era - Proceedings of the 23rd International Conference of Hong Kong Society for Transportation Studies, HKSTS 2018. Transportation Systems in the Connected Era - Proceedings of the 23rd International Conference of Hong Kong Society for Transportation Studies, HKSTS 2018, Hong Kong Society for Transportation Studies Limited, pp. 11-17, 23rd International Conference of Hong Kong Society for Transportation Studies: Transportation Systems in the Connected Era, HKSTS 2018, Hong Kong, Hong Kong, 8/12/18.

Utilizing cellular-based vehicle probing (CVP) data in traffic management the experience of deployment, testing and validation. / Liu, Chien Pang; Chen, Yen Yu; Wang, Mu Han.
Transportation Systems in the Connected Era - Proceedings of the 23rd International Conference of Hong Kong Society for Transportation Studies, HKSTS 2018. ed. / Weihua Gu; Shuaian Wang. Hong Kong Society for Transportation Studies Limited, 2018. p. 11-17 (Transportation Systems in the Connected Era - Proceedings of the 23rd International Conference of Hong Kong Society for Transportation Studies, HKSTS 2018).

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

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T1 - Utilizing cellular-based vehicle probing (CVP) data in traffic management the experience of deployment, testing and validation

AU - Liu, Chien Pang

AU - Chen, Yen Yu

AU - Wang, Mu Han

N1 - Publisher Copyright: © 2018 Transportation Systems in the Connected Era - Proceedings of the 23rd International Conference of Hong Kong Society for Transportation Studies, HKSTS 2018. All rights reserved.

PY - 2018

Y1 - 2018

N2 - Cellular-based vehicle probing (CVP) technology have gradually become the most potential source of traffic data collecting with the advance of cloud computing. Traffic data collection is the base of travel demand management. In the past, traffic data, such as flow, travel time and velocities of road segments, are obtained from the specific equipment like vehicle detector (VD), global position system (GPS) and electronic toll collection (ETC) system. These methods all need to invest huge amount of capital to build and maintain the infrastructure for the purpose of data collection. Compared to the other approaches, CVP may be a more cost-effective method for traffic data collection. In addition to travel time, this study proposed a model to estimate traffic flow and turning ratio, which are the most challenge parts, from CVP data. The result shows that the model has good estimation capability. The MAPE (mean absolute percentage error) of traffic flow and travel time are 20% and 16% separately.

AB - Cellular-based vehicle probing (CVP) technology have gradually become the most potential source of traffic data collecting with the advance of cloud computing. Traffic data collection is the base of travel demand management. In the past, traffic data, such as flow, travel time and velocities of road segments, are obtained from the specific equipment like vehicle detector (VD), global position system (GPS) and electronic toll collection (ETC) system. These methods all need to invest huge amount of capital to build and maintain the infrastructure for the purpose of data collection. Compared to the other approaches, CVP may be a more cost-effective method for traffic data collection. In addition to travel time, this study proposed a model to estimate traffic flow and turning ratio, which are the most challenge parts, from CVP data. The result shows that the model has good estimation capability. The MAPE (mean absolute percentage error) of traffic flow and travel time are 20% and 16% separately.

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KW - Travel Time

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BT - Transportation Systems in the Connected Era - Proceedings of the 23rd International Conference of Hong Kong Society for Transportation Studies, HKSTS 2018

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PB - Hong Kong Society for Transportation Studies Limited

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Y2 - 8 December 2018 through 10 December 2018

ER -

Liu CP, Chen YY, Wang MH. Utilizing cellular-based vehicle probing (CVP) data in traffic management the experience of deployment, testing and validation. In Gu W, Wang S, editors, Transportation Systems in the Connected Era - Proceedings of the 23rd International Conference of Hong Kong Society for Transportation Studies, HKSTS 2018. Hong Kong Society for Transportation Studies Limited. 2018. p. 11-17. (Transportation Systems in the Connected Era - Proceedings of the 23rd International Conference of Hong Kong Society for Transportation Studies, HKSTS 2018).

Utilizing cellular-based vehicle probing (CVP) data in traffic management the experience of deployment, testing and validation

Abstract

Publication series

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Keywords

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