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Modeling Lane-Wise Headway Distributions to Formulate Policies for Improving Traffic Operations at Uncontrolled Median Openings

delete2026-04-01
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PRE
AI
S
Soumen Kundu
K
Khan, Tathagatha
V
Vivek, Adheesh Kumar
DOI:10.1061/JTEPBS.TEENG-9387delete
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Abstract

Abstract

En 中文
This research investigates the lane-specific time-headway distributions of flow-through traffic near uncontrolled median openings (UMOs), with a focus on the effects of varying U-turn volumes. UMOs pose significant operational and safety challenges due to conflicts between U-turning and flow-through traffic. Traffic data were collected from several urban UMOs with diverse geometric and operational characteristics. A comprehensive statistical analysis was conducted to identify the most suitable headway distribution models for both affected and unaffected zones. The results reveal notable variability in headway distributions influenced by traffic volume, speed, lane configuration, and traffic composition. The study also establishes correlations among key traffic parameters such as vehicle type, volume, speed, lane usage patterns, and time headway across four- and six-lane urban roadways. The findings offer important implications for traffic operations at UMOs. It is recommended that heavy vehicles be assigned to lanes away from the median to minimize interference with U-turning traffic. In zones with reduced time headways due to high U-turn volumes, threshold values should be defined, and geometric improvements such as acceleration lanes or elevated U-turn lanes should be implemented. Where geometric enhancements are not feasible, regulatory measures such as yield signs are suggested. For UMOs with U-turn volumes exceeding 300 vehicles per hour, signalization is advised to reduce collision risks. Intelligent traffic systems should enforce right-of-way rules and provide clear guidance through signage. Additionally, AI-based monitoring should be employed to detect and address unsafe lane-changing behavior in real time. During peak periods, manual traffic control is recommended to manage U-turn operations effectively.
Keywords:
Headway distribution
Uncontrolled median opening (UMO)
Mixed traffic
Urban roadway
Policy formulation

Journal

J
Journal of Transportation Engineering Part A-Systems
IF:
2.1
Papers:
123
Citations:
1.9K

Organization

N
national institute of technology (nit system)
Scholars:
3.9W
Papers: 3.7W
Citations: 31
I
indian institute of technology system (iit system)
Scholars:
9.3W
Papers: 9.9W
Citations: 93
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