Correlation Analysis of Internet Car and Urban Traffic Congestion Based on Logistics Regression Congestion

Guangliang Zhang; Jian Wang; Xiaowei Hu

doi:10.1061/9780784483053.309

Correlation Analysis of Internet Car and Urban Traffic Congestion Based on Logistics Regression Congestion

Guangliang Zhang
, Jian Wang
, Xiaowei Hu

School of Transportation Science and Engineering, Harbin Institute of Technology

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

2 Scopus citations

Abstract

Internet car travel has become one of the commonly used modes of travel. The order and trajectory data of the internet car provides a new data source for studying urban traffic congestion. Therefore, based on the data of Beijing internet car on weekdays and weekends, this paper calculates the average travel speed by using the order interval time and trajectory data, and cluster analysis of the overall sample. Logistics regression analysis is used to quantify the relationship between order data and travel speed from the perspective of time. Combined with the data analysis results, the traffic operation state is divided. The multi-scenario analysis method is used to analyze the impact of different average travel speed on urban traffic congestion. This paper analyzes the correlation between internet car and traffic congestion, and can provide reference for traffic congestion management in the future.

Original language	English
Title of host publication	CICTP 2020
Subtitle of host publication	Transportation Evolution Impacting Future Mobility - Selected Papers from the 20th COTA International Conference of Transportation Professionals
Editors	Heng Wei, Haizhong Wang, Lei Zhang, Yisheng An, Xiangmo Zhao
Publisher	American Society of Civil Engineers (ASCE)
Pages	3683-3695
Number of pages	13
ISBN (Electronic)	9780784483053
DOIs	https://doi.org/10.1061/9780784483053.309
State	Published - 2020
Externally published	Yes
Event	20th COTA International Conference of Transportation Professionals: Transportation Evolution Impacting Future Mobility, CICTP 2020 - Xi'an, China Duration: 14 Aug 2020 → 16 Aug 2020

Publication series

Name	CICTP 2020: Transportation Evolution Impacting Future Mobility - Selected Papers from the 20th COTA International Conference of Transportation Professionals

Conference

Conference	20th COTA International Conference of Transportation Professionals: Transportation Evolution Impacting Future Mobility, CICTP 2020
Country/Territory	China
City	Xi'an
Period	14/08/20 → 16/08/20

UN SDGs

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

SDG 9 Industry, Innovation, and Infrastructure
SDG 11 Sustainable Cities and Communities

Access to Document

10.1061/9780784483053.309

Cite this

Zhang, G., Wang, J., & Hu, X. (2020). Correlation Analysis of Internet Car and Urban Traffic Congestion Based on Logistics Regression Congestion. In H. Wei, H. Wang, L. Zhang, Y. An, & X. Zhao (Eds.), CICTP 2020: Transportation Evolution Impacting Future Mobility - Selected Papers from the 20th COTA International Conference of Transportation Professionals (pp. 3683-3695). (CICTP 2020: Transportation Evolution Impacting Future Mobility - Selected Papers from the 20th COTA International Conference of Transportation Professionals). American Society of Civil Engineers (ASCE). https://doi.org/10.1061/9780784483053.309

Zhang, Guangliang ; Wang, Jian ; Hu, Xiaowei. / Correlation Analysis of Internet Car and Urban Traffic Congestion Based on Logistics Regression Congestion. CICTP 2020: Transportation Evolution Impacting Future Mobility - Selected Papers from the 20th COTA International Conference of Transportation Professionals. editor / Heng Wei ; Haizhong Wang ; Lei Zhang ; Yisheng An ; Xiangmo Zhao. American Society of Civil Engineers (ASCE), 2020. pp. 3683-3695 (CICTP 2020: Transportation Evolution Impacting Future Mobility - Selected Papers from the 20th COTA International Conference of Transportation Professionals).

@inproceedings{eb7e269161104d8884c4cf19df4db359,

title = "Correlation Analysis of Internet Car and Urban Traffic Congestion Based on Logistics Regression Congestion",

abstract = "Internet car travel has become one of the commonly used modes of travel. The order and trajectory data of the internet car provides a new data source for studying urban traffic congestion. Therefore, based on the data of Beijing internet car on weekdays and weekends, this paper calculates the average travel speed by using the order interval time and trajectory data, and cluster analysis of the overall sample. Logistics regression analysis is used to quantify the relationship between order data and travel speed from the perspective of time. Combined with the data analysis results, the traffic operation state is divided. The multi-scenario analysis method is used to analyze the impact of different average travel speed on urban traffic congestion. This paper analyzes the correlation between internet car and traffic congestion, and can provide reference for traffic congestion management in the future.",

author = "Guangliang Zhang and Jian Wang and Xiaowei Hu",

note = "Publisher Copyright: {\textcopyright} 2020 ASCE.; 20th COTA International Conference of Transportation Professionals: Transportation Evolution Impacting Future Mobility, CICTP 2020 ; Conference date: 14-08-2020 Through 16-08-2020",

year = "2020",

doi = "10.1061/9780784483053.309",

language = "英语",

series = "CICTP 2020: Transportation Evolution Impacting Future Mobility - Selected Papers from the 20th COTA International Conference of Transportation Professionals",

publisher = "American Society of Civil Engineers (ASCE)",

pages = "3683--3695",

editor = "Heng Wei and Haizhong Wang and Lei Zhang and Yisheng An and Xiangmo Zhao",

booktitle = "CICTP 2020",

address = "美国",

}

Zhang, G, Wang, J & Hu, X 2020, Correlation Analysis of Internet Car and Urban Traffic Congestion Based on Logistics Regression Congestion. in H Wei, H Wang, L Zhang, Y An & X Zhao (eds), CICTP 2020: Transportation Evolution Impacting Future Mobility - Selected Papers from the 20th COTA International Conference of Transportation Professionals. CICTP 2020: Transportation Evolution Impacting Future Mobility - Selected Papers from the 20th COTA International Conference of Transportation Professionals, American Society of Civil Engineers (ASCE), pp. 3683-3695, 20th COTA International Conference of Transportation Professionals: Transportation Evolution Impacting Future Mobility, CICTP 2020, Xi'an, China, 14/08/20. https://doi.org/10.1061/9780784483053.309

Correlation Analysis of Internet Car and Urban Traffic Congestion Based on Logistics Regression Congestion. / Zhang, Guangliang; Wang, Jian ; Hu, Xiaowei.
CICTP 2020: Transportation Evolution Impacting Future Mobility - Selected Papers from the 20th COTA International Conference of Transportation Professionals. ed. / Heng Wei; Haizhong Wang; Lei Zhang; Yisheng An; Xiangmo Zhao. American Society of Civil Engineers (ASCE), 2020. p. 3683-3695 (CICTP 2020: Transportation Evolution Impacting Future Mobility - Selected Papers from the 20th COTA International Conference of Transportation Professionals).

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

TY - GEN

T1 - Correlation Analysis of Internet Car and Urban Traffic Congestion Based on Logistics Regression Congestion

AU - Zhang, Guangliang

AU - Wang, Jian

AU - Hu, Xiaowei

PY - 2020

Y1 - 2020

N2 - Internet car travel has become one of the commonly used modes of travel. The order and trajectory data of the internet car provides a new data source for studying urban traffic congestion. Therefore, based on the data of Beijing internet car on weekdays and weekends, this paper calculates the average travel speed by using the order interval time and trajectory data, and cluster analysis of the overall sample. Logistics regression analysis is used to quantify the relationship between order data and travel speed from the perspective of time. Combined with the data analysis results, the traffic operation state is divided. The multi-scenario analysis method is used to analyze the impact of different average travel speed on urban traffic congestion. This paper analyzes the correlation between internet car and traffic congestion, and can provide reference for traffic congestion management in the future.

AB - Internet car travel has become one of the commonly used modes of travel. The order and trajectory data of the internet car provides a new data source for studying urban traffic congestion. Therefore, based on the data of Beijing internet car on weekdays and weekends, this paper calculates the average travel speed by using the order interval time and trajectory data, and cluster analysis of the overall sample. Logistics regression analysis is used to quantify the relationship between order data and travel speed from the perspective of time. Combined with the data analysis results, the traffic operation state is divided. The multi-scenario analysis method is used to analyze the impact of different average travel speed on urban traffic congestion. This paper analyzes the correlation between internet car and traffic congestion, and can provide reference for traffic congestion management in the future.

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M3 - 会议稿件

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T3 - CICTP 2020: Transportation Evolution Impacting Future Mobility - Selected Papers from the 20th COTA International Conference of Transportation Professionals

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BT - CICTP 2020

A2 - Wei, Heng

A2 - Wang, Haizhong

A2 - Zhang, Lei

A2 - An, Yisheng

A2 - Zhao, Xiangmo

PB - American Society of Civil Engineers (ASCE)

T2 - 20th COTA International Conference of Transportation Professionals: Transportation Evolution Impacting Future Mobility, CICTP 2020

Y2 - 14 August 2020 through 16 August 2020

ER -

Zhang G, Wang J , Hu X. Correlation Analysis of Internet Car and Urban Traffic Congestion Based on Logistics Regression Congestion. In Wei H, Wang H, Zhang L, An Y, Zhao X, editors, CICTP 2020: Transportation Evolution Impacting Future Mobility - Selected Papers from the 20th COTA International Conference of Transportation Professionals. American Society of Civil Engineers (ASCE). 2020. p. 3683-3695. (CICTP 2020: Transportation Evolution Impacting Future Mobility - Selected Papers from the 20th COTA International Conference of Transportation Professionals). doi: 10.1061/9780784483053.309

Correlation Analysis of Internet Car and Urban Traffic Congestion Based on Logistics Regression Congestion

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