ATLANTA SMART CITY INITIATIVE CORRIDOR & SPECIAL EVENT - - PowerPoint PPT Presentation

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ATLANTA SMART CITY INITIATIVE CORRIDOR & SPECIAL EVENT - - PowerPoint PPT Presentation

ATLANTA SMART CITY INITIATIVE CORRIDOR & SPECIAL EVENT APPLICATION FA C U LT Y S T U D E N T S M I C H A E L H U N T E R A R A D H YA B I S W A S R A N D A L L G U E N S L E R J O H N B O L E N A N G S H U M A N G U I N S O M D U T R O Y R I


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SLIDE 1

ATLANTA SMART CITY INITIATIVE CORRIDOR & SPECIAL EVENT APPLICATION

FA C U LT Y

M I C H A E L H U N T E R R A N D A L L G U E N S L E R A N G S H U M A N G U I N R I C H A R D F U J I M O T O M I C H A E L R O D G E R S

S T U D E N T S

A R A D H YA B I S W A S J O H N B O L E N S O M D U T R O Y A B H I L A S H A S A R O J

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SLIDE 2

Demonstrate Intelligent Transportation System (ITS) technologies and congestion mitigation in Atlanta

OVERVIEW

North Avenue testbed ‐ Green Corridor Capitalized on deployed vehicle‐to‐ vehicle (V2V) and vehicle‐to‐roadside (V2R) technologies in the active testbed to advance a “Green Corridor”

http://www.arch2o.com/wp‐content/uploads/2015/12/Arch2O‐ Connected‐vehicles‐04.jpg

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SLIDE 3

Demonstrate Intelligent Transportation System (ITS) technologies and congestion mitigation in Atlanta.

OVERVIEW

Special Events Management Deploy advanced Georgia Tech travel monitoring app, in collaboration with advanced CoA sensors, monitor congestion, and develop traffic mitigation systems for game days and special events

http://www.publicdomainpictures.net/pictures/210000/v elka/people‐cheering.jpg

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NORTH AVENUE TEST BED ‐ GREEN CORRIDOR

  • Utilize CoA sensor infrastructure monitor “real‐time” high‐

resolution corridor level conditions

  • Advanced simulation corridor model capable of representing

DSRC, Bluetooth, and other sensor data

  • Integrate signal timing and vehicle movement data to assess

emissions and energy usage for simulated and field data

https://cdn.pixabay.com/photo/ 2013/07/12/15/17/traffic‐light‐ 149580_960_720.png https://openclipart.org/image/24 00px/svg_to_png/34891/network‐ wireless.png https://cdn.pixabay.com/photo/2013/07/12/17/51/linked‐ 152575_960_720.png

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SLIDE 5

NORTH AVENUE TEST BED – DDDAS APPROACH

OBU RSU DSRC*: V2R, V2I RSU

  • Ro adside U

nit OBU – Onbo ard U nit DSRC – De dic ate d Sho rt Range Co mmunic atio n V2R – Ve hic le to Ro adside Co mmunic atio n WWAN – Wire le ss Wide Are a Ne two rk RSU OBU * Communication between vehicle, roadside, and cloud may

  • ccur via DSRC or other WWAN

application (e.g. cellular) WWAN* OBU

Sense: vehicle determine current position, speed, acc., etc. Adapt: determine KPI, recommend driving and signal adjustment Predict: project likely future locations, energy, emissions DDDAS Processing Loop

DDDAS – Dynamic Data Driven Application Systems

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SLIDE 6

G‐RTI

On‐server

Read Only DB Read only App

Write only DB

Digital World Simulated World

Simulated Network Data source Simulated Vehicles

Read & write DB Read & write App Read only App

Private Network Private Network

Traveller Assistant

Pre‐Recorded Data

Private Network Private Network

NORTH AVENUE TEST BED – SYSTEM ARCHITECTURE MODEL

Images: NS3: http://personal.ee.surrey.ac.uk/Personal/K.Katsaros/images/logos/ns3logo.png vissim: http://vision‐traffic.ptvgroup.com/fileadmin/_processed_/csm_Screenshot_PTVVissim_Multimodal_Systems_Scooter_dd0fabddfc.gif Laptop: https://images.vexels.com/media/users/3/136276/isolated/lists/31d41117ba74dd2475728b29db3ef718‐laptop‐flat‐icon.png

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G‐RTI

On‐server

Read Only DB Read only App

Write only DB

Off‐server

Traveller Assistant

Digital World Real World

Reports & News Cameras & Sensors Vehicles

Read & write DB Read & write App Read only App

Internet Internet Internet/ Network Internet/ Network

NORTH AVENUE TEST BED – FIELD DEPLOYMENT SYSTEM

Images Cars: http://www.goauto.com.au/mellor/mellor.nsf/story2/07EC51D606FC8C86CA25791A0006D3CA/$file/GM_tech_large.jpg?OpenElement Weather :http://www.americas‐best.com/graphics/pics_hot‐weather‐forecast.gif CCTV camera: http://www.clker.com/cliparts/1/U/3/F/h/V/surveillance‐camera‐md.png

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Network (Internet/Ad‐ hoc) FastCGI (mod_fcgi)

Server

Global Sync Module Push Message Module Message Aggregato r Module

CppCMS

controller

Green Runtime Infrastructure (G‐RTI) middleware

  • Distributed simulation integration framework based on DoD High Level Architecture standard

(IEEE 1516) supporting DDDAS simulation, emulation, and deployment

  • Scalable design
  • Flexible, supporting wide variety of devices, Internet of Things
  • Energy‐efficient implementation of key services
  • Time Management (Synchronization)
  • Data Distribution Management (Communications)

GREEN RUNTIME INFRASTRUCTURE (GRTI) MIDDLEWARE

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SLIDE 9

VISSIM

VISSIM ‐ A microscopic, stochastic traffic simulation model that represents the real world dynamic traffic environment for freeways and streets

Kiel Ova, PTV, 2010 Kiel Ova, PTV, 2010

Models individual vehicle behavior, various traffic control devices, intersections and interchanges, dynamic demands, flexible network layouts, roadway geometry, merging, vehicle routing, etc. Utilizes Psycho‐physical car following model (Prof. Wiedemann, 1974 and 1999)

Kiel Ova, PTV, 2010

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SLIDE 10

VISSIM – NETWORK TRAFFIC MODEL

Main Interface Link Diagram Signal Control 3D Animation

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ENERGY AND EMISSIONS MODELING MOVES‐MATRIX

  • The USEPA’s MOVES model predicts energy consumption and emissions as a

function of vehicle onroad operating conditions, expressed as vehicle‐specific power (VSP)

  • The modeling approach developed by Georgia Tech yields a huge multi‐

dimensional matrix of emission rates, from which individual vehicle and fleet emission rates can be quickly derived and applied at any modeling scale

  • ∗ sin

VSP = Vehicle Specific Power (KW/metric tonne) M = Fixed mass factor for the sourceType (tonnes) m = Source mass (tonnes) A = Rolling resistance (kW/meter/second) B = Rotational resistance (kW‐sec2/meter2) C = Drag coefficient kW‐second3/meter3 v = Vehicle velocity (meters/sec) a = Vehicle acceleration (meters/second2) g = Gravitational acceleration (9.8 m/second2) Ɵ = Road grade angle (radians or degrees, as needed)

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ENERGY AND EMISSIONS MODELING‐ MOVES BINNING APPROACH

Emission rates established by VSP bin apply to all vehicle activity falling into each specific VSP bin 23 bins apply to each vehicle class

  • Deceleration/braking
  • Idle (0 mph)
  • Low‐speed (1‐25 mph) coast
  • Low speed (1‐25 mph) cruise/acceleration
  • Moderate speed (25‐50 mph) coast
  • Moderate speed (25‐50 mph)

cruise/acceleration

  • High speed (50+ mph) cruise/acceleration
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ENERGY AND EMISSIONS MODELING: ACTIVITY HISTOGRAMS X RATES

FTP VSP Bin Distribution

FTP Cycle: 63,684 kJ 60,361 BTU 0.52 Gallons

=

Energy Consumption

X

FTP Driving Cycle

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SLIDE 14

ENERGY AND EMISSIONS MODELING: ACTIVITY BINS X RATES

Watson Plot of the FTP Driving Cycle FTP VSP Bin Distribution

FTP Cycle: 63,684 kJ 60,361 BTU 0.52 Gallons

X

=

Energy Consumption

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SLIDE 15

ENERGY HEAT MAP

http://realtime.ce.gate ch.edu/energy_heatm ap_10/

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SLIDE 16

ENERGY BUBBLE MAP

http://realtime.ce.ga tech.edu/energy_bu bblemap_10/

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SLIDE 17

SPECIAL EVENT MANAGEMENT

Deploy advanced Georgia Tech travel monitoring app, in collaboration with advanced CoA sensors, development of traffic mitigation systems for game days and special events

Phase I – Collect baseline data

  • Deploy smartphone app to monitor

game day travel congestion

  • Help City of Atlanta assess congestion

mitigation strategies

Phase II – Design and implement incentives to change travel behavior

  • Develop and implement incentive

partnerships

  • Reward participants who adopt travel

behavior that reduces peak‐period game day congestion

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SLIDE 18

SPECIAL EVENTS DOWNTOWN ATLANTA AND SPORTS ARENAS

Falcons, Hawks, and Atlanta United

  • Mercedes‐Benz Stadium

71,000‐seat capacity

  • Philips Arena

21,000‐seat capacity Hotels and Georgia World Congress Center

  • Convention Center events

20,000 to 40,000 attendees

  • Dragon Con hosts 60,000+ attendees

Centennial Olympic Park venues host millions

  • f visitors

Active business, residential, and university communities Stadium/Arena/Convention Center Falcons Game Day Congestion

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DOWNTOWN PARKING INVENTORY

95,500 parking spaces

  • 148 public and 234 private lots
  • 47,400 public spaces
  • 48,100 private spaces

59% average occupancy Average $11.74/day

  • $2.00 to $33.00/day
  • High game day rates

Pringle, J (2016). Parking Policies for Resurging Cities: An Atlanta Case Study. Dual Degree Master’s

  • Thesis. MCRP/MSCEE. Georgia Institute of Technology. Atlanta, GA.

1,256 downtown land acres 364 acres of parking

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SLIDE 20

CONGESTION MANAGEMENT STRATEGIES

Encourage alternative modes and shared rides

  • MARTA and GRTA Xpress bus transit
  • Carpools/vanpools (public/private, Uber/Lyft, etc.)
  • Park‐and‐ride shuttle services
  • Remote park and walk options

Encourage off‐peak arrival and departure Direct vehicles onto specific routes

  • Priority drop‐off/pick‐up locations (uncongested)
  • Priority for MARTA, vanpools, shuttles, Uber/Lyft,

etc.

Monitor and identify special event congestion hot spots Quantify time‐of‐day variability in congestion severity Assess potential benefits from:

  • Traffic re‐routing
  • Preferential parking policies
  • Additional park‐and‐ride support
  • New locations for shared‐ride

boarding/alighting

  • Incentivizing travel to shoulders of the peak

Quantify energy and emissions benefits from changes in travel

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SLIDE 21

Phase I – GameScout App Deployment

  • Summer and Fall 2017
  • Fund with existing resources
  • Deploy GameScout app, collect baseline game day data
  • Cultivate incentive partnerships

Phase II – Implement Game Day Incentives

  • Fall 2017 and Winter 2018
  • Fund with CMAQ and private incentive partnerships
  • Monitor changes in congestion and quantify benefits

GAMESCOUT PROJECT PHASING 21

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SLIDE 22

GAMESCOUT OUTREACH AND RECRUITMENT PHASE I DEPLOYMENT

Falcons, Hawks, Atlanta United fan outreach

  • Websites and e‐mail
  • Twitter and Facebook
  • Post cards to season ticketholders

In‐stadium posters and kiosks

  • Manned by volunteers

Hotel kiosk display cards Traditional media outlets

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SLIDE 23

At Atlanta Game Game Fa Fans!

Hel Help Geor Georgi gia Te Tech and and the the Ci City ty of

  • f At

Atlanta mo moni nitor tor and and manag manage ga game da day co congestion

Download Download the the Gam GameSc Scout App App fo for yo your Andr Android pho phone ne via via the the Goo Google le Pl Play St Stor

  • re (play.googl

google.com).

  • m).

Partic rticip ipants ts re receive cl club ub disc discounts at at the the ga game!

GameScout

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SLIDE 24

Questions & Discussion

Please feel free to contact me at michael.hunter@ce.gatech.edu