USING PeMS DATA TO EMPIRICALLY DIAGNOSE FREEWAY BOTTLENECK LOCATIONS IN ORANGE COUNTY, CALIFORNIA Robert L. Bertini Portland State University Aaron M.

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Presentation transcript:

USING PeMS DATA TO EMPIRICALLY DIAGNOSE FREEWAY BOTTLENECK LOCATIONS IN ORANGE COUNTY, CALIFORNIA Robert L. Bertini Portland State University Aaron M. Myton Oregon Department of Transportation TRB 84 th Annual Meeting Washington D.C. January 9-13, 2005

Objectives Identify Freeflow  Congested Conditions Determine Bottleneck Locations Measure Queue Discharge Features Conclusions

Foundation for Understanding Freeway Operations Queues Cause Delays Loop Detectors Good Data Source Previous Studies –Throughput Increase 2-5% Prior To Queue –Diverge Bottleneck Identified PeMS Provides Opportunity for Detailed Data Analysis Background

Culver Dr. University Dr. Sand Canyon Ave. Hwy. 133 Irvine Center Dr. Travel Direction Site Map Loop Detector Station Number L E G E N D Four Northbound Lanes One Northbound HOV Lane Freeway Ramps Between Stations, Except 100/ N Post-mile

Bottleneck Definition Queue upstream Freely-flowing traffic downstream Temporally and spatially variable

Data Freeway Performance Monitoring System (PeMS) – Single Inductive Loops Vehicle Occupancy and Count Data Aggregated in 30-sec. Intervals On-Ramp/Off-Ramp Data Not Available Monday June 1, 1998

Methodology Cumulative Curves – Vehicle Count & Occupancy Oblique Plots N and T

Analysis Time, t :007:308:008:309:00 Post mile Station

SEGMENT # QUEUE NO QUEUE 7:41: Q U Culver Dr. University Dr. Sand Canyon Ave. Hwy. 133 Irvine Center Dr. Travel Direction Station Station 70 – Loops 1-4 Oblique N and T

Time, t :007:308:008:309:00 Post mile Station

SEGMENT # QUEUE NO QUEUE Q U Culver Dr. University Dr. Sand Canyon Ave. Hwy. 133 Irvine Center Dr. Travel Direction Station Station 60 – Loops 1-4, Oblique N and T

Time, t :007:308:008:309:00 Post mile Station

Time, t :007:308:008:309:00 Post mile Queue 1 Queue 2 Queue 4 Queue 5 Queue 7 Queue 3 Queue 6 Queue 9 Queue 10 Queue 8 Station Queue - Activation Queue - Deactivation LEGEND

Results

Conclusions Ten Queues Formed at Five Locations Flow Reduction of 3-15% No Queue in HOV Lanes Bottlenecks Typically Activated Near Ramps No Speed Threshold Needed

Future Research Study site on different days Manual replication of procedure Develop semi-automated method

Acknowledgements Prof. Pravin Varaiya and Prof. Alexander Skabardonis, U.C. Berkeley Dr. Karl Petty, Berkeley Transportation Systems Pherak Hay, Vu Mai, and Roger Lindgren

SEGMENT # QUEUE NO QUEUE 7:41: Q U Station 70 – Loops 1-4 Oblique N and T

SEGMENT # QUEUE NO QUEUE Q U Station 60 – Loops 1-4, Oblique N and T