Transcript Advanced Interactive Signals for Able

Richard Wall
University of Idaho
http://www.ece.uidaho.edu/ee/digital/rwall/research/transportation/NIATT.html
4/27/2009
Boise, Idaho
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Presentations
 Summary of activities
 Design status
 System Architecture
 NTCIP System Networks
 Pedestrian Controller
 Pedestrian Button
 PLC Communications
 WEB based Operations & Maintenance
 Demonstration
 Lunch
 Direction
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Research Activities
 Academics
 Research Assistants
 Publications
 Conferences & Workshops
 Degrees
 Implementations
 Patents
 Hardware
 Software
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Education and Research
 Graduate Students
 Gabriel DeRuwe
 Craig Craviotto
 Zane Sapp
 NIATT Undergraduate Interns
 Zane Sapp
 Anne Mousseau
 Matt Stein
 David Alford
 Cody Brown
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Publications
 Giri, S. and R.W. Wall, “A Safety Critical Network for Distributed Smart
Signals” IEEE Instrumentation and Measurement Magazine, Vol. 11,
No. 6, December 2008, pp 10-16.
 DeVoe, D.* and R.W. Wall, “A Distributed Ethernet Network of
Advanced Pedestrian Signals”, The 88th Annual Meeting of the
Transportation Research Board, Washington, DC, January 11-15, 2009
 DeRuwe, G.* and R. W. Wall, “Pedestrian Navigation and Integration
with Distributed Smart Signal Traffic Controls ”, The 34th Annual
Conference of the IEEE Industrial Electronics Society, Orlando, FL,
November 11, 2008, Paper # HD-010979
 DeVoe, D*. and R.W. Wall, “A Distributed Smart Signal Architecture
for Traffic Signal Controls”, 2008 IEEE International Symposium on
Industrial Electronics, Cambridge, UK, July 2, 2008 , paper #004928
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Conferences & Workshops
“Advanced Accessible Pedestrian Signals Research”, Palouse
Chapter of IEEE, Moscow, ID,
January 2009
TRB 2009 Annual Meeting
January 2009
“Advances in Pedestrian Signals”, Penn State Transportation
Engineering and Safety Conference, State College, PA
December 2008
IECON -08, Orland FL
October 2008
“Smart Signals Technology”, Rocky Mountain Chapter of the
October 2008
Association for Education and Rehabilitation of the Blind and
Visually Impaired, Idaho Falls, ID
“Countdown Pedestrian Signals & Role of Power line Carrier”,
International Municipal Signal Association Northwest
Section 2008 Conference, Richland, WA.,
September 2008
ISIE – 08, Cambridge, England
June 2008
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Advanced Degrees
 Sanjeev Giri, “Application of a Safety Critical Network For
Distributed Smart Pedestrian Signals in a Road Traffic
Intersection System”, Master Science in Computer
Engineering, University of Idaho, January 2008
 Dustin DeVoe “Application of Intelligent Transportation
System Protocols for Controlling a Distributed Network of
Advanced Traffic Devices”, Master Science in Computer
Engineering, University of Idaho, May, 2009
 Gabriel DeRuwe “Pedestrian Assistance Using
Distributed Smart Signals Traffic Controls”, Master Science
in Computer Engineering, University of Idaho, May, 2009
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Patent Applications
 Tate, P., R.W, Wall, G. DeRuwe, and C. C Craviotto,
“Advanced Accessible Pedestrian System for Signalized
Traffic Intersections”, provisional patent filed, August 27,
2008.
 Wall, R.W. and G. DeRuwe, “Advanced Accessible
Pedestrian Control System for the Physically Disabled”, U.S.
Patent Application No. 12/411,306, March 25, 2009.
 Wall, R.W. and A. Huska, “Plug and Play Traffic Signals,”
Patent Application Docket No. 05-018-1/1079 filed on July 8,
2005, Patent Application, July 7, 2006.
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System Architecture
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System Network
 NTCIP Compliant SNMP messages
 APC to APB







All messages confirmed
updates APB each 250 ms
Pedestrian Signal status: Walk, clearance, and Don’t walk
Pedestrian call status (pending)
Pedestrian beacon source and destination
Night mode status
Button audio status
 APB to APC call requests
 Instantly generated unsolicited message
 Extended / normal press
 Data for remote pedestrian button
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Design Status
 Pedestrian Controller
 Pedestrian Button
 PLC Communications
 WEB based O & M
Gabe DeRuwe
Craig Craviotto
Zane Sapp
Gabe DeRuwe /
Anne Mousseau
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Advanced Interactive Signals for Able-Bodied
and Disabled Pedestrians
Gabriel DeRuwe
Advanced APS Pedestrian Controller
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Outline
 Purpose and System Integration
 Hardware Overview
 Software Overview
 Management and Configuration
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Pedestrian Controller Integration
Advanced Smart Signals Pedestrian Call System
© University of Idaho 2008
Smart
Signals Network
TS1/TS2 – 170/270/2070
Traffic Controller
APB
Advanced
Pedestrian
Assistant
Existing
Pedestrian
Call Inputs
Signal Load
Switches
Advanced
Pedestrian
Controller
Existing
Traffic and
Pedestrian
Signals
EoP
Modem
APS
APB
EoP
Modem
EoP
Modem
APS
APB
APS
EoP
Modem
EoP
Modem
APC
Cabinet
Power Maintenance
Interface
4/27/2009
 Gather
Smart Ped Signal
Boise, Idaho
APB
APS
pedestrian signal
information
 Distribute
information
across
intersection
 Place pedestrian
calls in traffic
controller
 Configuration
Interface
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Pedestrian Controller Hardware
 Commercial Linux
Enabled Computer
 Dual Ethernet Ports
 Separate Ped Control
Network from ITS
 Expandable Design
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Pedestrian Controller Hardware
 Custom Expansion
Board
 EoP Modem
 TS1 Pedestrian Signal
Inputs
 TS1 Pedestrian Call
Outputs
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Pedestrian Controller Software
 Open source environment
 Free
 Common development tools
 Common programming
interfaces
 Common software packages
 Web Server
 File Server
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Pedestrian Controller Software
 Multi-process system
 Break design into
small software
processes
 Pedestrian Traffic
Control
 Pedestrian Call
Receive
 Pedestrian Station
Configuration
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Pedestrian Controller Software
 Unique process for
each major task
 Processes share data
using internal
communication
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Management and Configuration
 Configuration and Management via webpage hosted on
Pedestrian Controller
 Does not require unique software
 Divided into 6 sections
 Pedestrian signal and calls status
 Time of day
 Global configuration
 Pedestrian station status
 Pedestrian station configuration
 Pedestrian station audio
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Management and Configuration
 Real-time display
 Pedestrian signal state display
 Active pedestrian service calls
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Management and Configuration
 View current date
and time
 Modify date and
time configuration
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Management and Configuration
 Beaconing
 Night mode
 ITS Network
configuration
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Management and Configuration
 Real-time pedestrian station status
 Currently playing audio message
 Statistics
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Management and Configuration
 Individual pedestrian
station configuration
 Assign to pedestrian
movements
 Audio volume
configuration
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Management and Configuration
 Upload audio to
individual
pedestrian stations
 User confirmation
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Advanced Interactive Signals for Able-Bodied
and Disabled Pedestrians
Craig Craviotto
Advanced APS Pedestrian Button
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APB Architecture
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Software Organization
System
Initalization
Receive and
processing
message from
controller
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Implement
control logic
based on data
from received
message and
local button
activation
Update sound
output
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Button operational capabilities
 Completed
 Data sharing of intersection information SNMP
 Pedestrian call ability through data messaging
 Detect an extended press (button press > 1 sec)
 Load sound files over network to memory in APB via
TFTP
 Not Completed
 Sound quality issues
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Buttons Operations
 To do
 Ambient noise compensation
 Fault diagnostic / recovery
 System usage
 Currently using 101% of ROM and 90% of RAM


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Can reduce by better coding techniques
Different compiler
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Pedestrian Navigation and Integration
with
Distributed Smart Signals Traffic Controls
Zane Sapp
EoP Systems Communications
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How EoP Modem is Interfaced
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Developmental Test Set Up
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MII Development Board
•Problem with MII Connector
– made to order part
• Required hand built cable
to interface to the EoP
•Numerous jumper settings
available
•Current Settings
•10Mb/s
•Half duplex
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Modified EoP for 12V AC
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Showing the Connectivity
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EoP Module on APC Board
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Development Board Connected
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Connection to EoP from
Development Board
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Able to Ping Across whole Network
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APB Board Connected to Network
 Status
 After many board revisions the ABP was able
to connect to the network over the 12V AC
 It was able to ping all the way across the
network as in the test setup
 Only problem is scope must be held on reset
line when booting
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Future Work
 Determine problem with reset line to
boot properly
 Incorporating MII development board
design into APC and APB design
 Revising reset management by
microprocessor
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Advanced Interactive Signals for Able-Bodied
and Disabled Pedestrians
Gabriel DeRuwe
Department of Electrical & Computer Engineering
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Remote Pedestrian Assistant
 What it is:
 A handheld device for activation of
pedestrian calls
 Provides orientation and guidance
information to user while in
intersection
 Interacts with traffic controller to
protect user
 Why it is needed:
 4.3 million Americans are severely
visually impaired
 Incidence increases with age
 By 2010, expect there to be 20 million
visually impaired persons over age 45
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Goals – Solve the problem
• Eliminate need for finding the Pedestrian Call
Button
• Inform the intersection where the user wishes
to cross
• Provide the user with the state of the
Pedestrian Signals
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Goals – Solve the problem
Track user in the cross walk
• Provide navigational cues to the user
• Extend walk time to ensure that the user
reaches their destination
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System Architecture
Advanced Smart Signals Pedestrian Call System
© University of Idaho 2008
Smart
Signals Network
Ped Controller
Communicates
with TC
Ped Controller
Communicates
with Ped Buttons
TS1/TS2 – 170/270/2070
Traffic Controller
APB
Advanced
Pedestrian
Assistant
Signal Load
Switches
Ped Button
Communicates
with remote device
Existing
Pedestrian
Call Inputs
Advanced
Pedestrian
Controller
Existing
Traffic and
Pedestrian
Signals
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Smart Ped Signal
Boise, Idaho
APC
Cabinet
Maintenance
Power
Interface
EoP
Modem
APS
APB
EoP
Modem
EoP
Modem
APS
APB
APS
EoP
Modem
EoP
Modem
APB
APS
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Custom Pedestrian Assistant
 Less than 1.5 in by 3.5 in
 Operate 5 days on a 9V battery
 Electronic compass
 Standard GPS
 Standard radio modem (IEEE 802.15.4)
 Hardware costs less than $250
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Commercial Pedestrian Assistant –
Nokia 6210
 Nokia 6210 Navigator
 Existing hardware
 Magnetic Compass
 GPS
 Bluetooth (IEEE 802.15.1)
 Software APIs
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Remote Pedestrian Call
• Pedestrian call placed
• Pedestrian signal
information displayed on
phone
• Red for solid hand
• Green for walk
symbol
• Yellow for flashing
hand
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GPS Tracking
• Green – Crosswalk
• Yellow – Immediately
outside of crosswalk
• Red – Danger zone
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GPS Tracking Test Method
• Slow LED blink in “green”
region
• Rapid LED blink outside of
“green” region
• Returns to slow LED blink
rate when user returns to
“green” region
• LED off when user reaches
destination
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GPS Tracking Results
• 20 trials of walking 24 feet in a straight line
• Black lines indicate the edges of a cross walk
(8 ft.)
• All of the trials tracked the user within the
cross walk
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GPS Tracking Results
• User travel
waypoints:
• (7, 20) ft North,
•
East
(0, 40) ft North,
East
• 25 Trials
• Average < 4ft off
at destination
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Human Factors Suggestions
 Advanced Pedestrian Button- Pre-Crossing
 Current design


Locator tone
Ambient noise compensation
 Confirmation that a call has been placed
 Information about intersection location. “Where am I
on the earth?” For example – “SW corner of 6th and
Deakin Street”
 “What direction did I request to cross?”
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Human Factors Suggestions
 What is the intersection geometry?



Is there a center Island?
Is it an orthogonal crossing?
How many lanes are there to cross?
 Is there special traffic information?

Left hand turning traffic?
 Overall give an expectancy of what type of intersection
is it.
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Human Factors Suggestions
 Advanced Pedestrian Assistant
 Provide vibrotactile feedback only to prompt/during the walk
phase


Dash-dash too far left or dash dot dash too far right i.e. rumble strips
Strong vibration when on course, reducing in strength when off
course
 Speech notification of when to cross only after confirmation
of correct alignment
 Speech notification of an approaching curb ramp
 Inform the user of time/ distance left to cross
 Warning messages for special cases
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Demonstration
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Direction for Research
 Known Issues
 Accuracy and availability of GPS
 Range of Bluetooth
 APB processor horsepower (memory and speed)
 GIS data for APC
 Human factors consideration for Ped Assistant
 Integration with Intellidrive
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Direction for Research
 Uninvestigated Issues
 Range of and data rate of EoP
 Manufacturing and installation
 Training and education (new tools)
 Reliability testing
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Direction for Research
 Future focus
 Countdown pedestrian timers
 Smart Traffic Signals
 No Traffic Controller Cabinet
 Low Power traffic control



DC operations
All LED
Variable intensity
 Dynamic Signals
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