Modeling merging behavior at lane drops.

Hallmark, Shauna; Oneyear, Nicole · 2015 · ROSA P / Iowa State University. Institute for Transportation

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Summary

This study addresses the operational and safety challenges caused by disruptive driver behaviors, such as queue jumping and lane straddling, at work-zone lane drops. These behaviors reduce traffic flow and increase the risk of forced merges and collisions. The research aimed to improve work-zone driver-behavior models to better understand merging dynamics, thereby enabling transportation agencies to design more effective traffic control plans and countermeasures. The project specifically sought to identify appropriate merge strategies for the Midwest, develop calibrated microsimulation models reflecting realistic driving behavior, and evaluate the impact of various countermeasures on safety and operations. The researchers employed a mixed-methods approach involving a comprehensive literature review, a survey of Midwest state departments of transportation, and microsimulation modeling. Data were collected at two distinct work zones in Iowa: an Interstate site (I-35) and an urban arterial site (Lincoln Way). Using the VISSIM microsimulation software, the team developed and calibrated models for both locations based on real-world metrics, including speeds, travel times, queue lengths, and the percentage of vehicles merging upstream versus near the merge point. The calibrated models were then used to simulate and evaluate the effectiveness of four countermeasures: variable speed limits, temporary rumble strips, static late merges, and dynamic early-merge and late-merge systems. The simulation results revealed distinct operational impacts for different merging strategies. For the Interstate work zone, the early-merge scenario produced more consistent speeds, reduced queue lengths and stops, and smoother merging compared to real-world conditions, though it pushed queues farther upstream. The late-merge scenario also improved Interstate operations by decreasing travel time and queue lengths, while lowering speeds at the merge point, which offered a potential safety benefit. In contrast, for the urban work zone, only the late-merge strategy was tested, as drivers already predominantly merged early. This late-merge scenario slightly increased travel times and queue lengths, indicating that the existing early-merge behavior was more efficient for that specific context. The study concludes that both early-merge and late-merge strategies can improve operations and smooth flow at merge points, but their effectiveness depends on traffic conditions and roadway type. Early merging is beneficial under moderate congestion to shorten queues and travel times, but may extend queues upstream if volume increases. Late merging improves operations over real-world scenarios and may be preferable under higher volumes. The findings suggest that better understanding of driver behavior allows for more targeted traffic control plans, leading to improved safety, reduced congestion, and enhanced work-zone capacity for transportation agencies.

Key finding

Early-merge strategies improved operations and smoothed flow at the Interstate work zone by reducing queue lengths and stops, whereas late-merge strategies worsened operations at the urban work zone where drivers already merged early.

Methodology

modeling

Provenance

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Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.

Topics

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• work zones
• perceptual countermeasures
• traffic density