Identification of Urban Road Waterlogging Using Floating Car Data

Songhua Hu; Jianjun Dai; Jiandong Qiu; Hangfei Lin

doi:10.1061/9780784481523.187

Identification of Urban Road Waterlogging Using Floating Car Data

Songhua Hu
, Jianjun Dai
, Jiandong Qiu
, Hangfei Lin

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

3 Citations (Scopus)

Abstract

Urban road waterlogging occurs frequently during heavy rainstorms. Effectively identifying urban road waterlogging can help people plan their travel reasonably and thus reduce losses. By comparing the precipitation and floating car data in the waterlogging state with those in the normal state, an automaic road waterlogging detection algorithm using precipitation and floating car speed as dual thresholds is illustrated. Thresholds are chosen considering whether there are significant differences between waterlogging and normal and their values are determined by the lower confidence limits of historical data in a normal state considering crosses of peak period, off-peak period, arterial road, and secondary road. Then a case study is conducted on Shenzhen City on June 13, 2017, based on the detection algorithm. Result shows the algorithm performs satisfactorily with a 68%-90% detection rate and a 1.5%-2% false alarm rate. Therefore, we conclude that this FCD-based algorithm could aid in waterlogging detection. © 2018 American Society of Civil Engineers.

Original language	English
Title of host publication	CICTP 2018: Intelligence, Connectivity, and Mobility - Proceedings of the 18th COTA International Conference of Transportation Professionals
Publisher	American Society of Civil Engineers
Pages	1885-1894
ISBN (Print)	9780784481523
DOIs	https://doi.org/10.1061/9780784481523.187
Publication status	Published - 2018
Externally published	Yes
Event	18th COTA International Conference of Transportation Professionals: Intelligence, Connectivity, and Mobility, CICTP 2018 - Beijing, China Duration: 5 Jul 2018 → 8 Jul 2018

Publication series

Name	CICTP 2018: Intelligence, Connectivity, and Mobility - Proceedings of the 18th COTA International Conference of Transportation Professionals

Conference

Conference	18th COTA International Conference of Transportation Professionals: Intelligence, Connectivity, and Mobility, CICTP 2018
Place	China
City	Beijing
Period	5/07/18 → 8/07/18

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Funding

Thanks for the funding of Science and Technology Planning Project of Shenzhen (The project number is GGFW2016033017241891, and the project name is “Public Technical Service Platform of Traffic Big Data of Shenzhen”), and Special Funds for the Development of Strategic Emerging Industries of Shenzhen in the First Support Planning of 2017. (The project name is “Traffic Engineering Laboratory of Carbon Emissions of Shenzhen,” and the file number is Shenzhen Development and Reform Commission (2017) No. 550).

UN SDGs

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

SDG 11 Sustainable Cities and Communities

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10.1061/9780784481523.187

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Cite this

Hu, S., Dai, J., Qiu, J., & Lin, H. (2018). Identification of Urban Road Waterlogging Using Floating Car Data. In CICTP 2018: Intelligence, Connectivity, and Mobility - Proceedings of the 18th COTA International Conference of Transportation Professionals (pp. 1885-1894). (CICTP 2018: Intelligence, Connectivity, and Mobility - Proceedings of the 18th COTA International Conference of Transportation Professionals). American Society of Civil Engineers. https://doi.org/10.1061/9780784481523.187

Hu, Songhua ; Dai, Jianjun ; Qiu, Jiandong et al. / Identification of Urban Road Waterlogging Using Floating Car Data. CICTP 2018: Intelligence, Connectivity, and Mobility - Proceedings of the 18th COTA International Conference of Transportation Professionals. American Society of Civil Engineers, 2018. pp. 1885-1894 (CICTP 2018: Intelligence, Connectivity, and Mobility - Proceedings of the 18th COTA International Conference of Transportation Professionals).

@inproceedings{dc82824d59cc4e179ab87d48dacefa6a,

title = "Identification of Urban Road Waterlogging Using Floating Car Data",

abstract = "Urban road waterlogging occurs frequently during heavy rainstorms. Effectively identifying urban road waterlogging can help people plan their travel reasonably and thus reduce losses. By comparing the precipitation and floating car data in the waterlogging state with those in the normal state, an automaic road waterlogging detection algorithm using precipitation and floating car speed as dual thresholds is illustrated. Thresholds are chosen considering whether there are significant differences between waterlogging and normal and their values are determined by the lower confidence limits of historical data in a normal state considering crosses of peak period, off-peak period, arterial road, and secondary road. Then a case study is conducted on Shenzhen City on June 13, 2017, based on the detection algorithm. Result shows the algorithm performs satisfactorily with a 68\%-90\% detection rate and a 1.5\%-2\% false alarm rate. Therefore, we conclude that this FCD-based algorithm could aid in waterlogging detection. {\textcopyright} 2018 American Society of Civil Engineers.",

author = "Songhua Hu and Jianjun Dai and Jiandong Qiu and Hangfei Lin",

note = "Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].; 18th COTA International Conference of Transportation Professionals: Intelligence, Connectivity, and Mobility, CICTP 2018 ; Conference date: 05-07-2018 Through 08-07-2018",

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Hu, S, Dai, J, Qiu, J & Lin, H 2018, Identification of Urban Road Waterlogging Using Floating Car Data. in CICTP 2018: Intelligence, Connectivity, and Mobility - Proceedings of the 18th COTA International Conference of Transportation Professionals. CICTP 2018: Intelligence, Connectivity, and Mobility - Proceedings of the 18th COTA International Conference of Transportation Professionals, American Society of Civil Engineers, pp. 1885-1894, 18th COTA International Conference of Transportation Professionals: Intelligence, Connectivity, and Mobility, CICTP 2018, Beijing, China, 5/07/18. https://doi.org/10.1061/9780784481523.187

Identification of Urban Road Waterlogging Using Floating Car Data. / Hu, Songhua; Dai, Jianjun; Qiu, Jiandong et al.
CICTP 2018: Intelligence, Connectivity, and Mobility - Proceedings of the 18th COTA International Conference of Transportation Professionals. American Society of Civil Engineers, 2018. p. 1885-1894 (CICTP 2018: Intelligence, Connectivity, and Mobility - Proceedings of the 18th COTA International Conference of Transportation Professionals).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Identification of Urban Road Waterlogging Using Floating Car Data

AU - Hu, Songhua

AU - Dai, Jianjun

AU - Qiu, Jiandong

AU - Lin, Hangfei

N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

PY - 2018

Y1 - 2018

N2 - Urban road waterlogging occurs frequently during heavy rainstorms. Effectively identifying urban road waterlogging can help people plan their travel reasonably and thus reduce losses. By comparing the precipitation and floating car data in the waterlogging state with those in the normal state, an automaic road waterlogging detection algorithm using precipitation and floating car speed as dual thresholds is illustrated. Thresholds are chosen considering whether there are significant differences between waterlogging and normal and their values are determined by the lower confidence limits of historical data in a normal state considering crosses of peak period, off-peak period, arterial road, and secondary road. Then a case study is conducted on Shenzhen City on June 13, 2017, based on the detection algorithm. Result shows the algorithm performs satisfactorily with a 68%-90% detection rate and a 1.5%-2% false alarm rate. Therefore, we conclude that this FCD-based algorithm could aid in waterlogging detection. © 2018 American Society of Civil Engineers.

AB - Urban road waterlogging occurs frequently during heavy rainstorms. Effectively identifying urban road waterlogging can help people plan their travel reasonably and thus reduce losses. By comparing the precipitation and floating car data in the waterlogging state with those in the normal state, an automaic road waterlogging detection algorithm using precipitation and floating car speed as dual thresholds is illustrated. Thresholds are chosen considering whether there are significant differences between waterlogging and normal and their values are determined by the lower confidence limits of historical data in a normal state considering crosses of peak period, off-peak period, arterial road, and secondary road. Then a case study is conducted on Shenzhen City on June 13, 2017, based on the detection algorithm. Result shows the algorithm performs satisfactorily with a 68%-90% detection rate and a 1.5%-2% false alarm rate. Therefore, we conclude that this FCD-based algorithm could aid in waterlogging detection. © 2018 American Society of Civil Engineers.

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U2 - 10.1061/9780784481523.187

DO - 10.1061/9780784481523.187

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9780784481523

T3 - CICTP 2018: Intelligence, Connectivity, and Mobility - Proceedings of the 18th COTA International Conference of Transportation Professionals

SP - 1885

EP - 1894

BT - CICTP 2018: Intelligence, Connectivity, and Mobility - Proceedings of the 18th COTA International Conference of Transportation Professionals

PB - American Society of Civil Engineers

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Y2 - 5 July 2018 through 8 July 2018

ER -

Hu S, Dai J, Qiu J, Lin H. Identification of Urban Road Waterlogging Using Floating Car Data. In CICTP 2018: Intelligence, Connectivity, and Mobility - Proceedings of the 18th COTA International Conference of Transportation Professionals. American Society of Civil Engineers. 2018. p. 1885-1894. (CICTP 2018: Intelligence, Connectivity, and Mobility - Proceedings of the 18th COTA International Conference of Transportation Professionals). doi: 10.1061/9780784481523.187

Identification of Urban Road Waterlogging Using Floating Car Data

Abstract

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Bibliographical note

Funding

UN SDGs

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