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Presented by
Sanjay Paul, PhD, PE, PTOE, PTP, RSP
Desert Southwest Area Traffic Manager, HDR
Technologies and Tricks:
Taking HAWKs to the Next Stage
Simon Ramos, PE
Field Services Superintendent, City of Phoenix
ITS Arizona Annual Conference
October 20, 2022
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46% Pedestrian- Vehicle Crash Reduction
Phoenix has 81 HAWKs
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Safety Issues
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Elderly Population
COVID Effect
Large Party Size
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Side Street Delay- �Coordinated Signals
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Many DOTs Set Up Their Detection for Fully Actuated Control But Set Up Their Controller for Semi-Actuated Control
Coordinated Phases Always Force-Off in Semi-Actuated Control
Reduce Side-Street Delay
Coord Actuated/Early Coord Gap-Out
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Reduce Side-Street Delay-Yield Point
Semi-Actuated Control
Yield Point - A point in a coordinated signal operation that defines where the controller decides to terminate the coordinated phase.
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Reduce Side-Street Delay
Fully-Actuated Control
If the coordinated phases are actuated, they will extend. The amount of extension is controlled by the coordinated phase split extension interval. If the coordinated phase are no longer actuated, they will gap out provided there is demand in any of the following phases in the ring sequence.
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Reduce Side-Street Delay
= Side Street Split
=Main Street Split
Reversed Split Timing – Typically 2-Phase
Example: 120s CL
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Reversed Split Timing – Typically 2-Phase
~40s Band
Reduce Side-Street Delay
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Reduce Side-Street Delay
Reversed Split Timing – Typically 2-Phase
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Reduce Side-Street Delay
Reversed Split Timing – Typically 2-Phase
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Reduce Side-Street Delay
Reversed Split Timing – Typically 2-Phase
Side Street Calls
(Random Events)
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Reduce Side-Street Delay
Reversed Split Timing – Typically 2-Phase
Side Street Calls
(Random Events)
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Reduce Side-Street Delay
= Side Street Split
=Main Street Split
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(+ vehicles)
Study Objectives & Scope
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Fillmore/7th Ave
Thomas/2nd St
Montebello/7th St
32nd St/Grand Canal
McDowell/Grand Canal
24th St/Grand Canal
Advanced detections were deployed along Grand Canal
Study HAWK Locations
New timings implemented at:
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Camera & Visions
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Technology Testing and Data Collection
Before & After Sunrise
Before & After Sunset
Mid-day
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Study Methodology –
Passive Detection Evaluation
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Study Methodology –
Dynamic Detection Evaluation
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Delay Estimation and Effectiveness Evaluation
Inference for Independent Means
Independent two sample set
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Impact of New Signal Timing Scheme
on Pedestrian Delay
50s
24s
Before
After
11-ish
Average Pedestrian Delay
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Impact of New Signal Timing Scheme
on Pedestrian Delay
48%
75%
54%
32%
52% Reduction
25th
50th
Avg
75th
100th
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Impact of Advanced Detection
on Pedestrian Delay
41s
21s
Before
After
11-ish
Average Pedestrian Delay
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Impact of Advanced Detection
on Pedestrian Delay
9%
39%
76%
1%
48% Reduction
25th
50th
Avg
75th
100th
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Comparisons of Vehicle Delay
New Logic & Advanced Detection
41s
47s
43s
43s
Before
After
Before
After
New Timing
New Timing + Advanced Detection
Average Vehicular Delay
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Passive Detection Accuracy: 89%
Summary: Passive Detection
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Dynamic Detection & Extension Accuracy: 80%
Summary: Dynamic Detection & Crossing Time Extension
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detection, upgraded controller is needed to have all 4 ports working
Summary of Findings
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Challenges in Pilot Deployment and Testing
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Sanjay Paul
Subhankar Dey
Miranda Sundblom
Mike Barton
Special thanks to
Bruce Littleton
Deputy Director, Street Transportation
City of Phoenix
Maddison Klingberg
ITERIS Technology
Simon Ramos
Eric Hernandez
Mailen Pankiewicz
Robert Lugo
Thanks to the
Project Team
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Thank you very much!!
Comments and questions
are welcome
Contacts:
Simon Ramos, PE
Simon.Ramos@phoenix.gov, 520.500.4190
Sanjay Paul, PhD, PE, PTOE, PTP, RSP
Sanjay.Paul@hdrinc.com, 480.559.2623
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Impact of New Signal Timing Scheme on Pedestrian Delay (cont’d)
% - Before - After
25% - 21s - 11s
50% - 44s - 11s
75% - 1:14 - 34s
100% - 2:06 - 1:26
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Impact of Advanced Detection
on Pedestrian Delay (cont’d)
% - Before - After
25% - 11s - 10s
50% - 18s - 11s
75% - 1:07 - 16s
100% - 2:08 - 2:07