U.S. Department of Transportation Federal Highway Administration ACS-Lite FHWA Adaptive Signal...

U.S. Department of TransportationFederal Highway Administration

ACS-LiteFHWA Adaptive Signal

Control Systems

Raj S. Ghaman, P.E.Team Leader, Office of Operations RD & T

Traffic Signal & Operations Working Group March 26, 2008

Washington D.C., USA

U.S. Department of TransportationFederal Highway Administration

Slide 2

Outline

• Goals

• System architecture

• Adaptive approach– Cyclic performance measures

• Field trials

U.S. Department of TransportationFederal Highway Administration

Slide 3

Adaptive in the U.S. (FHWA)

• 1970s-1980s: UTCS– Second by second central

• 1990s: Predictive control (ACS)– FHWA ACS: RHODES, OPAC– Second by second distributed

• 2002: Controller-based Adaptive– FHWA ACS “Lite”: Siemens ITS– Leverage existing hardware– Update controller parameters every five minutes

U.S. Department of TransportationFederal Highway Administration

Slide 4

FHWA Goals for ACS-Lite

• Low cost design

• Leverage existing infrastructure• Standard US-style actuated controllers (rings,

phases, splits, barriers)• Standard fully-actuated detector layouts• Standard NTCIP Communications

• “Retro-fit” with major US signal system vendors

U.S. Department of TransportationFederal Highway Administration

Slide 5

Project Team

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Slide 6

System Architecture

Vendor

Field Master

Protocol Translation

9600bps, up to 12 controllers

NTCIP + ACS-Lite firmware upgrade

Vendor Specific or NTCIP

NTCIP

ACS-LiteOptional

Optional

Field Processor

U.S. Department of TransportationFederal Highway Administration

Slide 7

ACS-Lite Detection Layout

Flow ProfileDetectors

Phase Utilization Detectors

Need detectors at stop-bar of coordinated phases

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Slide 8

21

ACS-Lite adaptive control philosophy

• Data-driven parameter tuning

• Limited/no traffic modeling

• Recent past predicts the near future• Splits

– Phase Utilization

• Offsets– Statistical Flow Profiles

U.S. Department of TransportationFederal Highway Administration

Slide 9

ACS-Lite NTCIP firmware upgrade

• Phase Timing Status Object

• Detector Status Object

• Configuration Objects• Polled once per minute

– Second-by-second accuracy– Bandwidth efficient

• Minute-by-minute polls are “stitched” together for cycle-by-cycle performance assessment

1

2

3

U.S. Department of TransportationFederal Highway Administration

Slide 10

Occupancy per phase interval

• Occupancy values per second

• Correlated to Red/Green/Yellow

37s 4s49s

Second-by-secondOccupancy

37s 4s32s

Second-by-secondOccupancy

Cycle 1

Cycle 2

17s

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Slide 11

Cycle-by-cycle Data

Phase Timing Volume/Occupancy

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Slide 12

Occupancy per interval split tuning

57s4s29s

Phase 2AverageOccupancy

Unoccupied

Averaging

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Slide 13

Green occupancy Phase Utilization

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Slide 14

Cyclic occupancy profiles Statistical profile

“statistical” flow profile

Example shows need to move offset so green

corresponds with traffic earlier in cycle

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Slide 15

Progression Performance Offset tuning

• Performance measure for offsets “capture efficiency”

• Shift offsets small amount

• Constrain changes within user-configurable bounds

Inbound

Outbound

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Slide 16

Field trials

PEEKSt. Petersburg/Tampa, Florida

EconoliteColumbus, Ohio

Eagle/SiemensHouston, Texas

McCainSan Diego, California

U.S. Department of TransportationFederal Highway Administration

Slide 17

Field trial – Columbus, Ohio

• Early “lessons learned”– Communications integrity– Detector configuration

• Separate channels per lane

– Remote configuration capability

– Details, details

High School

Freeway

3km

Major road

Major road

Construction zone

U.S. Department of TransportationFederal Highway Administration

Slide 18

Columbus, Ohio - Hamilton Road

Study Area N

U.S. Department of TransportationFederal Highway Administration

Slide 19

Columbus, Ohio – Hamilton Road (con’t)

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Slide 20

ACS-Lite Field trial – Houston, Texas State Route 6

Study AreaN

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Slide 21

Houston, Texas – State Route 6 (con’t)

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Slide 22

ACS-Lite Field trial – Tampa, Florida State Route 70

Study Area

N

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Slide 23

Tampa, Florida – State Route 70 (con’t)

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Slide 24

ACS-Lite Field trial – San Diego, California Main Street

N

Study Area

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Slide 25

San Diego, California – Main Street (con’t)

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Slide 26

Future

• Algorithms enhancements (2008):– Long-term parameter

adjustment • Seasonal baseline parameters• TOD schedule switch points

– Cycle time tuning– Selection of transition

method– Better Graphical User

Interface (GUI)

U.S. Department of TransportationFederal Highway Administration

Slide 27

Questions?