Education and Research

Transcription

1 Richard Wall University of Idaho edu/ee/digital/rwall/research/transportation/niatt html 1 Presentations Summary of activities Design status System Architecture NTCIP System Networks Pedestrian Controller Pedestrian Button PLC Communications WEB based Operations & Maintenance Demonstration Lunch Direction 2 1

2 Research Activities Academics Research Assistants Publications Conferences & Workshops Degrees Implementations Patents Hardware Software 3 Education and Research Graduate Students Gabriel DeRuwe Craig Craviotto Zane Sapp NIATT Undergraduate Interns Zane Sapp Anne Mousseau Matt Stein David Alford Cody Brown 4 2

3 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 DeVoe, D.* and R.W. Wall, A Distributed Ethernet Network of Advanced Pedestrian Signals, The 88 th 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 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 # 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 December 2008 Engineering and Safety Conference, State College, PA 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

4 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, Patent Applications Tate, P., R.W, Wall, G. DeRuwe, and C. C Craviotto, Advanced Accessible Pedestrian System for Signalized Traffic Intersections, provisional ii patent filed, August 27, 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, Wall, R.W. and A. Huska, Plug and Play Traffic Signals, Patent Application Docket No /1079 filed on July 8, 2005, Patent Application, July 7,

5 System Architecture 9 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 10 5

6 Design Status Pedestrian Controller Gabe DeRuwe Pedestrian Button Craig Craviotto PLC Communications Zane Sapp WEB based O & M Gabe DeRuwe / Anne Mousseau 11 Advanced Interactive Signals for Able Bodied and Disabled Pedestrians Gabriel DeRuwe Advanced APS Pedestrian Controller 12 6

7 Outline Purpose and System Integration Hardware Overview Software Overview Management and Configuration 13 Pedestrian Controller Integration Advanced Smart Signals Pedestrian Call System TS1/TS2 170/270/2070 Traffic Controller Signal Load Switches Existing Traffic and Pedestrian Signals Existing Pedestrian Call Inputs Cabinet Power University of Idaho 2008 Smart Signals Network Advanced Pedestrian Controller APC Maintenance Interface Advanced Pedestrian Assistant EoP Modem Smart Ped Signal EoP Modem EoP Modem EoP Modem EoP Modem APB APB APB APS APS APS Gather pedestrian signal information Distribute information across intersection Place pedestrian calls in traffic controller Configuration Interface 14 APB APS 7

8 Pedestrian Controller Hardware Commercial Linux Enabled Computer Dual Ethernet Ports Separate Ped Control Network from ITS Expandable Design 15 Pedestrian Controller Hardware Custom Expansion Board EoP Modem TS1 Pedestrian Signal Inputs TS1 Pedestrian Call Outputs t 16 8

9 Pedestrian Controller Software Open source environment Free Common development tools Common programming interfaces Common software packages Web Server File Server 17 Pedestrian Controller Software Multi process system Break design into small software processes Pedestrian Traffic Control Pedestrian Call Receive Pedestrian Station Configuration 18 9

10 Pedestrian Controller Software Unique process for each major task Processes share data using internal communication 19 Management and Configuration Configuration and Management via webpage pg 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 20 10

11 Management and Configuration Real time display Pedestrian signal state display Active pedestrian service calls 21 Management and Configuration View current date and time Modify date and time configuration 22 11

12 Management and Configuration Beaconing Night mode ITS Network configuration 23 Management and Configuration Real time pedestrian station status Currently playing audio message Statistics 24 12

13 Management and Configuration Individual pedestrian station configuration Assign to pedestrian movements Audio volume configuration 25 Management and Configuration Upload audio to individual pedestrian stations User confirmation 26 13

14 Advanced Interactive Signals for Able Bodied and Disabled Pedestrians Craig Craviotto Advanced APS Pedestrian Button 27 APB Architecture 28 14

15 Software Organization 29 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 30 15

16 Buttons Operations To do Ambient noise compensation Fault diagnostic / recovery System usage Currently using 101% of ROM and 90% of RAM Can reduce by better coding techniques Different compiler 31 Pedestrian Navigation and Integration with Distributed Smart Signals Traffic Controls Zane Sapp EoP Systems Communications 32 16

17 How EoP Modem is Interfaced 33 Developmental Test Set Up 34 17

18 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 35 Modified EoP for 12V AC 36 18

19 Showing the Connectivity 37 EoP Module on APC Board 38 19

20 Development Board Connected 39 Connection to EoP from Development Board 40 20

21 Able to Ping Across whole Network 41 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 42 21

22 Future Work Determine problem with reset line to boot properly Incorporating MII development board design into APC and APB design Revising g reset management by microprocessor 43 Advanced Interactive Signals for Able Bodied and Disabled Pedestrians Gabriel DeRuwe Department of Electrical & Computer Engineering 44 22

23 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 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 46 23

24 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 47 System Architecture Ped Controller Communicates with TC Ped Controller Communicates with Ped Buttons Ped Button Communicates with remote device Advanced Smart Signals Pedestrian Call System TS1/TS2 170/270/2070 Traffic Controller Signal Load Switches Existing Pedestrian Call Inputs University of Idaho 2008 Smart Signals Network Advanced Pedestrian Controller Advanced Pedestrian Assistant EoP Modem Smart Ped Signal EoP Modem EoP Modem EoP Modem APB APB APB APS APS APS Existing Traffic and Pedestrian Signals Cabinet Power APC Maintenance Interface EoP Modem APB APS 48 24

25 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 ) Hardware costs less than $ Commercial Pedestrian Assistant Nokia 6210 Nokia 6210 Navigator Existing hardware Magnetic Compass GPS Bluetooth (IEEE ) Software APIs 50 25

26 Remote Pedestrian Call Pedestrian call placed Pedestrian signal information displayed on phone Red for solid hand Green for walk symbol Yellow for flashing hand 51 GPS Tracking Green Crosswalk Yellow Immediately outside of crosswalk Red Danger zone 52 26

27 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 53 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 54 27

28 GPS Tracking Results User tae travel waypoints: (7, 20) ft North, East (0, 40) ft North, East 25 Trials Average < 4ft off at destination 55 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 6 th and Deakin Street What direction did I request to cross? 56 28

29 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. 57 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 58 29

30 Demonstration 59 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 60 30

31 Direction for Research Uninvestigated Issues Range of and data rate of EoP Manufacturing and installation Training and education (new tools) Reliability testing 61 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 62 31

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