Abstract

Few studies have focused on the impacts of fog conditions on lane-based speeds on freeways. To explore speed differences and to predict speeds under fog conditions, this paper analyzed the historical traffic data and meteorological data at two freeway sections in Shanghai, China. The Kolmogorov–Smirnov test was used to compare speed distributions between the different levels of visibility. Multiple linear regression models for two sections with different numbers of lanes were established to predict speeds, in which lane number was used as an explanatory variable. It was found that the impacts of reduced visibility on speed distributions and speeds vary with visibility level, lane number, type of vehicle, day of the week, time of day, and the number of lanes. More importantly, the impacts of reduced visibility on mean speeds and speed distributions are different at sites with different numbers of lanes. The results can assist traffic management agencies to better implement variable speed limits for the fine management of lane levels under fog conditions.

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Data Availability Statement

Some or all data, models, or code generated or used during the study are proprietary or confidential in nature and may only be provided with restrictions. The funding agency does not allow the data to be open to the public without their permission.

Acknowledgments

This research was funded by the National Key Research and Development Program of China (2018YFE0102800).

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Go to Journal of Transportation Engineering, Part A: Systems
Journal of Transportation Engineering, Part A: Systems
Volume 146Issue 9September 2020

History

Received: Jul 19, 2019
Accepted: Jan 2, 2020
Published online: Jul 6, 2020
Published in print: Sep 1, 2020
Discussion open until: Dec 6, 2020

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Ph.D. Candidate, Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji Univ., No. 4800 Cao’an Rd., Shanghai 201804, China. ORCID: https://orcid.org/0000-0002-9576-4673. Email: [email protected]
Yajie Zou, Ph.D. [email protected]
Associate Professor, Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji Univ., No. 4800 Cao’an Rd., Shanghai 201804, China. Email: [email protected]
Engineer, Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji Univ., No. 4800 Cao’an Rd., Shanghai 201804, China. ORCID: https://orcid.org/0000-0003-0887-5875. Email: [email protected]
Bing Wu, Ph.D. [email protected]
Professor, Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji Univ., No. 4800 Cao’an Rd., Shanghai 201804, China (corresponding author). Email: [email protected]

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