Bottleneck Identification on Oregon 217 with PORTAL Data

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Bottleneck Identification on Oregon 217 with PORTAL Data Zachary Horowitz avid Evans and Associates Dr. Robert Bertini ortland State University TRB 86 th Annual Meeting ashington, DC. January 2007.

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Bottleneck Identification on Oregon 217 with PORTAL Data. Zachary Horowitz David Evans and Associates Dr. Robert Bertini Portland State University. TRB 86 th Annual Meeting. Washington, DC. January 2007. Presentation Outline. Research Objectives Study Area / Methodologies - PowerPoint PPT Presentation

Transcript of Bottleneck Identification on Oregon 217 with PORTAL Data

Page 1: Bottleneck Identification on  Oregon 217 with PORTAL Data

Bottleneck Identification on Oregon 217 with PORTAL Data

Zachary HorowitzDavid Evans and Associates

Dr. Robert BertiniPortland State University

TRB 86th Annual MeetingWashington, DC. January 2007.

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Presentation Outline

Research Objectives

Study Area / Methodologies

Analysis and Results

Conclusions

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Research Objectives

1st Bottleneck Study in Portland

Create a Learning Tool for Students

Measure Capacity on 217

Compare Non/Recurrent Congestion

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Study Area - Overview

Oregon Highway 217

• 7 miles long

• North to South trips from US 26 and I-5

• Connects Portland, Beaverton & Tigard

Study Almanac

• Dates: Tuesday-Thursdays, February - May 2006

• Times: 6:00 – 10:00 AM

• Southbound travel direction (towards I-5)

S

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Study Area - Infrastructure

Traffic Data

• Oregon Department of Transportation (ODOT)

• 9 sets of inductive loop detectors, and all on-ramps

• 20-second data aggregation

• Volumes, occupancy and speed (calculated)

• Data retrieved through PORTAL online system located at Portland State University

SouthSouth

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Study Area - Operations

Mainline at 7:00am

• 2 lanes

~ 1900 vehicles/hr/lane

Scholls Ferry On-Ramp

• Metered at 700 vehicles/hr

• Operating at capacity

Greenburg Off-ramp

• Heavy weaving volumes

Geometry

45° bend south of on-ramp

Interchange spacing

Scholls

Fer

ry

Slive.com

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Methodology

• Cumulative counts• Raw 20-sec occupancy• Oblique, transformed curves• Q=KV scatter plot• Speed plots

0

500

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7:00 7:15 7:30 7:45 8:00

Time

5021

7:19

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Raw Occupancy Plot

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Flow vs. Occupancy

Scholls Ferry Road – February 7, 2006

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Queued and Unqueued States

Scholls Ferry – February 7, 2006

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Flow vs. Occupancy

Greenburg Road – February 7, 2006

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Speed PlotsHall Blvd – 7:22

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7:00 7:15 7:30 7:45 8:00

Time

V(H

all,t

) -

v0

= 1

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mp

h

5121

7:25

Denney Rd - 7:25

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V(A

llen

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ph

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7:28

Allen Blvd – 7:28

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V(B

HH

,t)

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14300 m

ph

58 137:35

Beaverton-Hillsdale – 7:35

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Occupancy Plot

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Results

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Congestion Comparison

• Recurrent congestion– Discharge flow: 3,620 vph– Flow drop: 3.9%– Shock speed: 8.8 mph

• Incident-related congestion– Discharge flow: 2,850 vph– Flow drop: 20.4%– Shock speed: 18.2 mph

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Conclusions• Recurrent SB congestion during AM• Flow drop similar to previous studies

Main causes of congestion:• Heavy mainline flow + on-ramp volumes• Substandard geometries along 217• Heavy weaving volumes

Effective operational capacity: 2,000 vphpl

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Future Study

• Collect off-ramp data

• Integration with ramp metering

project

• HCM analyses (weaving, freeway)

• Upgrade loop hardware (direct

speed measurement)

• Freight data collection

• ODOT 217 corridor study

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Acknowledgements

• ODOT

• Dr. Robert Bertini

• Steve Boice

• Sirisha Kothuri

• TRB reviewers

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Questions?

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