Chapter
Jun 4, 2021

Evaluating Capacity for Multiple Weaving Areas

Publication: International Conference on Transportation and Development 2021

ABSTRACT

The Highway Capacity Manual provides concise, well-defined procedures for estimating capacity and level of service for most types of roadways and intersections. While not perfect, these procedures allow for a quick comparison of roadway geometries when making design decisions. When detailed information is necessary, the analyst can use microscopic simulation; however, there is a stiff cost to doing so. However, performing an operational analysis (e.g., VISSIM) is not always an option in projects due to the higher associated costs. This is mostly the case in smaller projects, in the initial phases of larger projects where there is limited budget available for providing preliminary results, or in projects with low traffic and simple/non-complex geometry. In these cases, having an HCM-based method for evaluating all possible freeway segments becomes rather important. Also, there is pressure to limit right-of-way needed for capacity improvement projects. This constraint could result in the use of multiple weaving areas. The current Highway Capacity Manual (HCM 2016) provides procedures for three types of freeway segments: (1) basic segments away from ramps, (2) merge and diverge segments, and (3) weaving segments, which are formed when a merge is followed closely by a diverge, increasing the amount of lane changing as traffic lines up to for its desired destination. If the influence of a single ramp is felt beyond the next ramp to a second ramp, we have a multiple weave. The configuration is either two entrance ramps followed by an exit ramp or a single entrance ramp followed by two exit ramps. We use the former in this work. The HCM recommends segregating the weaving movements into separate merge, diverge, and simple weaving segments, which ignores the interrelated behavior of the merging and diverging traffic. In this work, we are using microscopic simulation (VISSIM) to find relations between macroscopic variables flow, density, and speed. Capacity is evaluated by gradually raising flows for a range of geometries and flow ratios. Models are developed to express capacity in terms of lane configuration, flow ratios, truck percentage, and overall flow rate. Also, the impact of distances between the ramps and the percent trucks will be measured. We plan to provide a procedure to allow analysts to evaluate capacity in multiple weaves without having to resort to simulation.

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REFERENCES

[1] Minderhoud, M. M., et al. “Freeway weaving: Comparison of highway Capacity Manual 2000 and Dutch guidelines.” Transportation research record 1852.1 (2003): 10-18.
[2] Eads, Brian S., et al. “Freeway facility methodology in highway capacity manual 2000.” Transportation research record 1710.1 (2000): 171-180.
[3] Guo, Yi, et al. “Evaluating operational efficiency of split merge, diverge, and weaving solutions for reducing freeway bottleneck congestion.” Transportation Letters (2020): 1-13.
[4] Skabardonis, Alexander, and Christofa, Eleni. 2012. Evaluation of Methodologies for The Design and Analysis of Freeway Weaving Sections, 9.
[5] Jolovic, Dusan, et al. “Assessment of Level-Of-Service for Freeway Segments Using HCM and Microsimulation Methods.” Transportation Research Procedia 15 (2016): 403-416.
[6] Qi, Yi, et al. “Methods of dropping auxiliary lanes at freeway weaving segments.” Transportation planning and technology 41.4 (2018): 389-401.
[7] Rakha, Hesham, et al. “Analytical procedures for estimating capacity of freeway weaving, merge, and diverge sections.” Journal of transportation engineering 132.8 (2006): 618-628.
[8] Denny, Richard, et al. 2005. Capacity and Quality of Service of Weaving Zones.

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Go to International Conference on Transportation and Development 2021
International Conference on Transportation and Development 2021
Pages: 1 - 13

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Published online: Jun 4, 2021

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Sheida Khademi, S.M.ASCE [email protected]
1Dept. of Civil Engineering, Univ. of Texas at Arlington, Arlington, TX. Email: [email protected]
Behruz Paschai, Ph.D. [email protected]
2C&M Associates, Inc., Dallas, TX. Email: [email protected]
James C. Williams, Ph.D. [email protected]
3Dept. of Civil Engineering, Univ. of Texas at Arlington, Arlington, TX. Email: [email protected]

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