Smarter Cities - Transportation City of Rochester Initiatives Fred Ziecina

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© 2011 IBM Corporation Smarter Cities - Transportation City of Rochester Initiatives Fred Ziecina

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Smarter Cities - Transportation City of Rochester Initiatives Fred Ziecina. Acknowledgement. Rochester Department of Public Works Gary Shannon, P.E., P.T.O.E. Traffic Engineer City of Rochester Doug Nelson, P.E. Mgr Engineering City of Rochester. - PowerPoint PPT Presentation

Transcript of Smarter Cities - Transportation City of Rochester Initiatives Fred Ziecina

Page 1: Smarter Cities - Transportation  City of Rochester Initiatives  Fred Ziecina

© 2011 IBM Corporation

Smarter Cities - Transportation

City of Rochester Initiatives Fred Ziecina

Page 2: Smarter Cities - Transportation  City of Rochester Initiatives  Fred Ziecina

© 2011 IBM Corporation2

Acknowledgement

Rochester Department of Public Works

Gary Shannon, P.E., P.T.O.E.Traffic EngineerCity of Rochester

Doug Nelson, P.E.Mgr EngineeringCity of Rochester

Page 3: Smarter Cities - Transportation  City of Rochester Initiatives  Fred Ziecina

© 2011 IBM Corporation3

Intelligent Transportation Systems

Everything in presentation is available, though not all in use

Obstacles:– Finances: Can’t afford to replace all old systems with new equipment or afford new

systems

– Inter Agency Trust and Cooperation: Turf issues, differing priorities, who has control

– Public Acceptance: Politicians won’t support thing constituents are opposed to

– Legal Challenges: Groups can challenge things in court, even if public supports

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© 2011 IBM Corporation4

Agenda

Traffic Signal Operation and Automation

Transportation Data Integration (TDI) for Traffic Corridors thru cell phones

Traffic Enforcement thru technology

Winter Maintenance Decision Support System

Bridge Maintenance & Operational safety

Construction efficiency – Machine Control

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© 2011 IBM Corporation5

Traffic Signal Operation & Automation

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© 2011 IBM Corporation6

Rochester’s Advanced Traffic Management System (ACTRA)

City of Rochester uses Siemens ACTRA System

PC based monitoring and management of

129 of the City’s 144 traffic signal systems

Installed in 2003, expanded annually

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ACTRA - Signal System Capabilities

Rochester System– Interconnected signals with corridor signal coordination– Emergency Vehicle Pre-emption– Railroad Pre-emption– Video from signal camera detection

equipment

Expandable with Incremental Upgrades– Capability to add public transit bus priority– Capable of real-time traffic responsive

signal timing– Remote access by multiple agencies– Video Wall display capability– Dynamic ‘Message Sign’ control

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ACTRA - Signal System Capabilities

Rochester Signal Cabinets

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ACTRA - Benefits

Remote access to the signals to check the system or adjust the signal timing

– Alarms sent from equipment to Traffic Operations Building when malfunctions occur (automatic paging for critical alarms)

– Data exchange capability; timing plans and information can be transferred to, or from, the signal controllers at the cabinet or remotely from the Traffic Operations Building

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Typical Signal Cabinets

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ACTRA - Communication Capability

Multi-equipment and Interface Capability– Twisted pair– Fiber optic– Coaxial– Radio– Ethernet

National Architecture compliance

for ITS– NTCIP: National Transportation Communication for ITS Protocol

• http://www.ntcip.org/– Supporting Organizations:

• http://www.nema.org/• http://www.ite.org/• http://www.transportation.org/• http://www.its.dot.gov/

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© 2011 IBM Corporation12

ACTRA - Communication Setup

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© 2011 IBM Corporation13

ACTRA – Traffic management Capability

Data collection capability with analysis tools

Supports adaptive traffic control to respond to actual traffic conditions

Can generate reports for the intersection or signal groupings

Links:– MNDOT Web Cameras: http://www.511mn.org/ – 3rd Ave / 16th St SE: (link)

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© 2011 IBM Corporation14

Agenda

Traffic Signal Operation and Automation

Transportation Data Integration (TDI) for Traffic Corridors thru cell phones

Traffic Enforcement thru technology

Winter Maintenance Decision Support System

Bridge Maintenance & Operational safety

Construction efficiency – Machine Control

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© 2011 IBM Corporation15

TDI via Cell Phone data

Tracking of cell phones through urban corridors to track volume, speed, other pertinent data

Jacobs Engineering at forefront of use of this technology

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TDI – Cutting Edge Technology

Jacobs Processing

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TDI – What does it do?

Operational Data – Speeds– Volumes– Congestion Points– Origin-Destination Information for all Travel

Can Separate by Mode– Buses/Trains/Transit– Cars/Trucks– Bicycles/Peds

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TDI – How does it do it?

Collects all “MOTION” Data– Detectors– GPS– License Plate Recognition– E-Tags– Cell Phones– Etc (Open System)

Data Fusion Process– Determines What Data Good/Bad– Uses Good Data– Creates 24/7 Operational Representation

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TDI – How can it be used?

Operators and Regional Agencies– Continuous Update on Transportation Picture– All Facilities/Modes, All the Time– Performance Measurements, Continuously– Peak Hour Traffic Counts– Operational Efficiency – All Modes– Environmental Readings– Instantaneous Readouts of any Changes– Accurate Traffic Impacts from Incidents/Accidents– Ability to Report Changes or Events, Instantly– “Predict” when Linked to Simulation

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TDI – How can it be used?

Research– Automatic Traffic counters– Simulation of new roadway design/operation concepts (before)– Impacts of changes on entire roadway network– Automated measurements of test (after)– Impacts due to incidents can be catalogued– Impacts due to ITS devices (DMS, etc) can be measured– Environmental Impacts of Modal shifts– Benefit / cost analyses, true time savings estimates

Travellers – Personal Travel Predictions

• By Mode• Intermodal• Future Travel

– Best Mode/Best Route/Best Travel Time

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TDI – Traveler benefits

Better knowledge of the network situation – 10% Time Savings from Improved Knowledge– Alternative Modes– Way-Finding

Reliable journeys – 50% of Delays can be Incident-Related– 10-15% of Delays can be from Construction– Non-Recurrent Congestion

Better travel information – Better Decisions – Network Conditions Improve – Minimize Time on Roadway Network

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TDI – Benefit Summary Fast, accurate and convenient

dynamic data acquisition Reduced physical infrastructure

investment Quick solution to existing highway

congestion problems Real-time multimodal traffic models

with– Comprehensive real-time

information– Multimodal planning and

interchange policies– Improved monitoring and

benefit assessment– Short, medium and long term

travel predictions Improved Road Safety Improved Disaster Management Wider coverage

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Agenda

Traffic Signal Operation and Automation

Transportation Data Integration (TDI) for Traffic Corridors thru cell phones

Traffic Enforcement thru technology

Winter Maintenance Decision Support System

Bridge Maintenance & Operational safety

Construction efficiency – Machine Control

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© 2011 IBM Corporation24

Traffic Enforcement Through Technology

“Photo Cop”

Traffic Enforcement camera– Speed control– Red light running– Bus Lane enforcement– Toll roads

http://www.iihs.org/video.aspx/info/auto_enforcement

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Traffic Enforcement Through Technology – why needed?

1,000 fatalities (nationally) per year due to “red light running”

13,000 fatalities (nationally) per year related to excessive speed

Multiple injuries and accidents due to these violations

Limited manpower to address the problem (enforcement efforts are often short duration)

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Traffic Enforcement Through Technology – Benefits

Multiple research studies have shown:

– Increased compliance w/ speed limits

• 80% reduction in vehicles exceeding the posted speed by 10 mph where this has been used

– Reduction in the number of fatalities and severity of accidents

– Identifies and deters those that break the law

Enhances enforcement efforts

A fair, objective, and consistent application

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Traffic Enforcement Through Technology – Obstacles

Legal challenges to the use of monitoring equipment– Invasion of privacy?

– Ticket issued to the vehicle owner, not the driver

Laser jamming devices on vehicles

Falsified license numbers on vehicles

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Traffic Enforcement Through Technology – MN Experience

Minnesota Supreme Court Strikes Down Red Light CamerasThe Minnesota Supreme Court delivers a unanimous decision striking down the legality of red

light cameras.

The Minnesota Supreme Court today delivered the highest-level court rebuke to photo enforcement to date with a unanimous decision against the Minneapolis red light camera program. The high court upheld last September's Court of Appeals decision that found the city's program had violated state law.

The supreme court found that Minneapolis had disregarded a state law imposing uniformity of traffic laws across the state. The city's photo ticket program offered the accused fewer due process protections than available to motorists prosecuted for the same offense in the conventional way after having been pulled over by a policeman. The court argued that Minneapolis had, in effect, created a new type of crime: "owner liability for red-light violations where the owner neither required nor knowingly permitted the violation."

Minneapolis Code of Ordinances sections 474.620 to 474.670, which make the owner of a motor vehicle guilty of a petty misdemeanor if the vehicle is photographed running a red light, are invalid because they are in conflict with the Minnesota Traffic Regulations, and specifically with Minn. Stat. Section 169.06, subd. 4(a) (2006), and Minn. Stat. Section 169.022 (2006).

April 5, 2007

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Agenda

Transportation Data Integration (TDI) for Traffic Corridors thru cell phones

Traffic Signal Operation and Automation

Traffic Enforcement thru technology

Winter Maintenance Decision Support System

Bridge Maintenance & Operational safety

Construction efficiency – Machine Control

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Winter Maintenance Decision Support System

Used by Rochester, Olmsted, MnDOT

Salt / Sanding winter operations

Rochester – “Force America” SSC5100 system

Winter road maintenance efficiencies thru technology

Use temperature sensors / equipment on sanding trucks– Temperature Detectors – Sanding rate applicators

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Winter Maintenance Decision Support System

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Winter Maintenance Decision Support System

Force America SSC5100 system AVL Vehicle Tracking and Data

Logging Joystick Controls PTO Controls Pump Controls Radio Frequency Controls Snow & Ice Controls

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© 2011 IBM Corporation33

Rochester Winter Maintenance Support System

Truck Mounted Computer

Antennae

Temp Sensor

Wireless Comm Link

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Winter Maintenance Decision Support System

The Maintenance Decision Support System serves maintenance staff– decision support tool – real-time weather / roadway conditions

Combined with information on maintenance vehicle resources (i.e. salt, sand, etc…) – MDSS recommends appropriate roadway maintenance application treatments / rates

MDSS assimilates data on road surface conditions from Road Weather Information Stations (RWIS)

On-board vehicle sensors report pavement temperatures– also allows for field staff observations on road visibility to be factored into the MDSS

recommendation for appropriate maintenance treatments. With all sources of information taken into account, MDSS offers users various treatment

options– such as “optimal” treatments – where travel safety is prioritized higher than treatment

costs –– and “what-if” treatments – where the effects of several maintenance actions on

overall resources can be understood by the system user before recommending certain actions.

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© 2011 IBM Corporation35

Road Weather Information Station

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Winter Maintenance Decision Support System

Chemicals

Anti-icers Proactive

De-icers Reactive

Sodium Chloride (salt)Calcium ChlorideMagnesium ChloridePotassium AcetateLiquid Corn Salt

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© 2011 IBM Corporation37

Winter Maintenance Decision Support System

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Winter Maintenance Decision Support System - Benefits

Benefit / cost ratio of 13:1 (MnDOT)

53% savings on salt use

Reduced overtime

More effective road clearing

Increased safety to the public

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© 2011 IBM Corporation39

Winter Maintenance Decision Support System

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Winter Maintenance Decision Support System

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© 2011 IBM Corporation41

Agenda

Transportation Data Integration (TDI) for Traffic Corridors thru cell phones

Traffic Signal Operation and Automation

Traffic Enforcement thru technology

Winter Maintenance Decision Support System

Bridge Maintenance & Operational safety

Construction efficiency – Machine Control

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© 2011 IBM Corporation42

Bridge Maintenance & Operational Safety

City of Rochester, Olmsted Co, and MnDOT –D6 have responsibility for hundreds of bridges

Newer bridges being designed with anti-icing spray technology – Fixed Automated Spray Technology (FAST)

– I 35W bridge– New bridges over Mississippi (MN – WI)

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Bridge Maintenance & Operational Safety

Bridge Fixed Automated Spray Technology (FAST)

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Bridge Maintenance & Operational Safety - FAST

”The snow and ice-control practice of preventing the formation or development of bonded snow and ice by the timely applications of chemical freezing-point depressant.”

-- FHWA Manual for

an Effective Anti-Icing Program

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What is Anti-Icing?

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© 2011 IBM Corporation

Bridge Maintenance & Operational Safety - FAST

Stationary Anti-icing Systems

Fixed

Automated

Spray

Technology

Goal of F.A.S.T. System: “The early prediction of ice formation in its different forms (ice, black ice, frost, freezing rain, and snow) along with a time-efficient activation of the spraying system.”

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© 2011 IBM Corporation

Bridge Maintenance & Operational Safety - FAST

Effective

(original 35W system)

165 winter crashes from 1992 – 1999 Anti-icing system operational in 1999 68% reduction in winter crashes in first 3 yrs of operation

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© 2011 IBM Corporation

Bridge Maintenance & Operational Safety - FAST

System Components Roadway Weather Information System (RWIS)

–Measures atmospheric & pavement conditions Pump House

–Houses tanks, pumps, instrumentation & controls Valve Units

–Deliver Anti-icing agent to Spray Disks Spray Disks

–Deliver Anti-Icing agent to road surface

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Bridge Maintenance & Operational Safety - FAST

Automatic control, no human intervention for activation Information provided by active and passive pavement sensors Graphical User Interface software Intuitive display, complete access to weather information and spray system

data. Historical log information Spray disk: heavy-duty, made from synthetic material Individually variable spray pattern angle Accumulator Tanks on hydraulic line for consistent spraying pressure Pressure control device for monitoring proper pressure Alarms sent to personnel if pressure is incorrect. Allows early detection of leaks & preventive shut off

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© 2011 IBM Corporation

Automated Anti-Icing

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Bridge Maintenance & Operational Safety - FAST

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© 2011 IBM Corporation

Bridge Maintenance & Operational Safety - FAST

Anti-Icing Chemical

Potassium Acetate

Low corrosionContains no chloridesEffective to -45 F (lab)Field Experience to -20 FNo agitation requiredEnvironmentally favorable to saltsDoes not refreeze

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Bridge Maintenance & Operational Safety - FAST

Flow meter for measuring amount of liquid dispensed per spray. Flexibility according different conditions The spray system executes up to 16 customer-configurable spray

progression to fit any specific weather situation and road condition. Active and Passive Pavement Sensors able to anticipate icy

conditions on the road by simulating them before they actually occur The concept of anti-icing instead of de-icing, which acts after the icy

condition has been generated attempting to melt the ice following its formation.

An AASHTO study, indicates it requires 3 times the chemical to remove ice as it does to prevent it from forming in the first place.

Page 52: Smarter Cities - Transportation  City of Rochester Initiatives  Fred Ziecina

© 2011 IBM Corporation52

Agenda

Transportation Data Integration (TDI) for Traffic Corridors thru cell phones

Traffic Signal Operation and Automation

Traffic Enforcement thru technology

Winter Maintenance Decision Support System

Bridge Maintenance & Operational safety

Construction efficiency – Machine Control

Page 53: Smarter Cities - Transportation  City of Rochester Initiatives  Fred Ziecina

© 2011 IBM Corporation53

Construction efficiency – Machine Control

Machine Control used on City of Rochester projects: ROC 52, 50th Ave NW, and 20th Street SE

– Also on Olmsted Co & MnDOT projects

3D machine control – GPS units

Stakeless survey

Reduces cost of project construction

Increased excavation & grading efficiencies

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© 2011 IBM Corporation54

Construction efficiency – Machine Control

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© 2011 IBM Corporation55

Construction efficiency – 3D Machine Control

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Construction efficiency – 3D Machine Control

GPS Base Station

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Construction efficiency – 3D Machine Control

Traditional Survey

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Construction efficiency – 3D Machine ControlStakeless Survey

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© 2011 IBM Corporation59

Construction efficiency – 3D Machine Control

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© 2011 IBM Corporation60

Construction efficiency – Machine Control

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Acknowledgments