Case Studies
Jun 24, 2021

Examining the Impact of Ramps on Lane Operating Features at Urban Expressway Bottleneck in Shanghai, China

Publication: Journal of Transportation Engineering, Part A: Systems
Volume 147, Issue 9

Abstract

For better refined management of urban expressway traffic, it is necessary to quantitatively analyze the impact of ramps on lane-operational capacity and lane flow distribution at the bottleneck of an urban expressway. Employing the survival analysis method and the maximum value method, this paper calculates the lane-operational capacity before and after the traffic flow breakdown. And then lane-operational capacity, lane flow distribution of the expressway section, and the relationship with the ramp position are analyzed. Through the analysis of actual data, several interesting conclusions are drawn: (1) the lane-operational capacity of the inner lane is higher than that of the outer lane on the two-lane section without ramp. The lane-operational capacity of the three-lane section without ramp is ranked as middle lane, inner lane, and outer lane; (2) on-ramp has little influence on the lane-operational capacity of the expressway section. The inner lane of the expressway section around the on-ramp has a larger operational capacity than outer lane, consistent with the section without a ramp. The lane-operational capacity of the expressway section around the on-ramp decreases slightly both on the inner lane and outer lane; (3) the off-ramp has considerable influence on the lane-operational capacity of the expressway section. There is a significant reduction in lane-operational capacity of the expressway section outer lane around the off-ramp. On the expressway section after the off-ramp, the lane-operational capacity of the outer lane is higher than that of the inner lane, which is opposite to the section without a ramp; and (4) ramps have significant impact on lane flow distribution. On the sections without ramp, the lane with the largest capacity bears more traffic flow, and lane flow distribution is shaped like a bracket. On the sections around the ramps, lane flow distribution is shaped like a scissor.

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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 (e.g., anonymized data). The funding agency does not allow the data to be open to the public without their permission.

Acknowledgments

The research is funded by the projects of National Key Research and Development Program of China (2016YFE0206800), the Science and Technology Commission of Shanghai Municipality (STCSM, Grant No. 18DZ1200200) and the National Natural Science Foundation of China (No. 71804127).

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Information & Authors

Information

Published In

Go to Journal of Transportation Engineering, Part A: Systems
Journal of Transportation Engineering, Part A: Systems
Volume 147Issue 9September 2021

History

Received: Oct 9, 2020
Accepted: Feb 19, 2021
Published online: Jun 24, 2021
Published in print: Sep 1, 2021
Discussion open until: Nov 24, 2021

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Authors

Affiliations

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

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