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Automated Traffic Signal Performance Measures via Cloud-based System Architecture Chicago Regional Automated Traffic Signal Performance Measure Workshop 19 February 2019 Essential Performance Measures for Improved Arterial Roadway Management


  1. Automated Traffic Signal Performance Measures via Cloud-based System Architecture Chicago Regional Automated Traffic Signal Performance Measure Workshop 19 February 2019

  2. Essential Performance Measures for Improved Arterial Roadway Management ”Queue length processing is the only way to calculate the accurate wait time of vehicles at traffic lights and deliver ALL the data needed for generating accurate travel times on signalized arterial corridors…” Liu, H., Ma, W., and Wu, X., (2009) Traffic Flow Monitoring for Intersections with Signal Control U.S. Patent No. 8,279,086 Awarded by USPTO October 2, 2012 2

  3. LTD ’ s Traffic Signal Performance Measurement System History 2018+ 2017 SIGPAT integrated with BT / Wi-Fi Travel Time 2016 New dashboards Full agency deployments launched accelerate Signal Prediction Algorithm 2015 improved by AI models Cloud-based Signal Performance Measure software (SIGPAT™*) released Development of ATSPM accelerates 2014 National rollout begins Traffic Signal Prediction Algorithm developed Live Traffic Data sub-licenses technology to 2006-2011 further develop the system NY Headquarters created Henry Liu, Heng Hu developed real-time Arterial Performance Monitoring System at U of Minnesota Deployed by MnDOT & City of Pasadena, CA 3 rd party validation by Alliant Eng / Iteris *SIGPAT™ = Signal Performance Analysis Toolbox 3

  4. Traffic & Signal Data Collection and Distribution Real-Time, Predictive & Historical CUSTOMER Reliable • Scalable • Compatible Automakers Secure • Robust LTD Server Traffic Signal Infrastructure • Data is collected via central software or a • Data is analyzed and provided to device installed inside the traffic signal traffic agencies through LTD’s cabinet performance measurement software (SIGPAT™) Traffic Management Center 4

  5. Real Time & Historical Datasets Available For Analytics Traffic Volumes Vehicle Delays Signal Phase and Timing Data Arterial Travel Times Other available datasets: ▪ Queue Length ▪ Pre-emption ▪ Approach speed ▪ Vehicle Delay ▪ Vehicle Trajectory ▪ Saturation Flow Rate 5 5 ▪ Etc

  6. Real Time & Predictive SPaT Applications 6

  7. Signal/Traffic Data Collection Methods - 1/4 • Data Feed from Central Software ▪ Trafficware: ATMS.Now ▪ Transcore: TransSuite ▪ McCain: Transparity ▪ Intelight: Maxview ▪ Econolite: Centracs ▪ … 7

  8. Signal/Traffic Data Collection Methods - 2/4 • Based on Built-in Data Loggers of Signal Controllers ▪ Fetches logs via FTP in scheduled intervals (e.g. 15 mins) ▪ Only available in newer controllers & firmware ✓ Econolite ✓ Siemens ✓ TrafficWare ✓ Peek ✓ Intelight 8

  9. Signal/Traffic Data Collection Methods - 3/4 • Standards-based Communication Protocol ▪ NTCIP , AB3418, … ▪ Live Traffic Data’s Software Approach 9

  10. Signal/Traffic Data Collection Methods - 4/4 HARDWARE APPROACH ▪ Collects signal/det data ▪ Collects data, cabinet health ▪ Fiber / Ethernet / serial & ▪ Fiber / Ethernet or cellular wireless communication comm environments ▪ Wifi/BT for ARID Travel-time ▪ Deployed since 2007 Supports All Detector Types Supports All Controller Types NEMA, 170/2070 , … ▪ Loop ▪ Econolite ▪ Video ▪ Siemens ▪ Radar ▪ McCain ▪ Magnetometer ▪ Peek ▪ Hybrid ▪ Trafficware (Naztec) ▪ Intelight ▪ … 10

  11. Traffic Signal Data & Performance Measures from Intersection to Stakeholders Collect Traffic Signal Data Distribute Traffic Signal Data Agency Firewall Customer Application Backend API Server Server Four methods to access traffic Traffic signal data Local Signal Data TCP/IP Server Server Performance Measure HTTPS HTTPS Webserver Traffic Engineer Traffic Engineer 11

  12. ATSPM Data Requirements Data Requirement Single Intersection Metric Corridor Metric Signal Only Green Time, Split Monitor, Phase Green Band Analysis Duration Signal, Vehicle Queue Length, Delay, Stops, Percent Time-Space Diagram, Arterial Detection Arrival on Green, Congestion Map, Vehicle Purdue Coordination Diagram(PCD), Trajectories & Travel-time Performance Index (Virtual Probe) Vehicle Detection Volumes Only Communication, Real-time alerts, SPaT Real-time Performance Map Real-time ATSPM 12

  13. Real-time Map of Signal Performance 13

  14. Real-time Notification of Service Anomalies • Real-time alert through E-mail, via Text message • User-configurable performance measures 14

  15. Case Study: Olathe, KS -- 119 th St @ Blackbob Rd EB Traffic Volumes 15

  16. Olathe KS – 119 th @ Blackbob 16

  17. Olathe, KS Case Study – 119 th St Corridor -New signal timings implemented on May 7 th 2018 17

  18. EB 119 th @ Blackbob: PCD Comparison AoG % 66% 72% 72% 55% Before: AoG % 82% 52% 75% 76% After: 18

  19. Weekly Performance Index (Apr 23 – Aug 3) at 119 th & Blackbob Control Change 7 May 2018 19

  20. Backup details for Perf Index (prev slide)

  21. EB Travel-time: 119 th --Renner to Blackbob Travel-Time (sec) 15% 154 158 50% 195 188 85% 243 201 21

  22. Green Band Analysis – 119 th Corridor ( 7am to 8:10am) After Before (June 5, 6, 7) (May 1, 2, 3) 22

  23. Arterial Congestion Heat Map 7 am Ave. Delay / vehicle / 15-min ▪ To better understand how congestion evolves ▪ Different cell colors indicate different congestion levels ▪ Easily identify the most and least congested time and location 7 pm Palo Alto, CA (Sandhill Rd) 23

  24. Arterial Performance - Time-Space Diagram Field-data driven T-S Diagram ▪ Evaluate the actual performance ▪ Actual vehicle arrival and queuing base on detector inputs ▪ Fine-tune coordination (TH 13, MN) 24

  25. Case Study: Palo Alto Traffic Doubles on Stanford Game Day 250 EB 0 250 WB 0 600 0 400 0 GAME-TIME 7 AM 12 AM STANFORD UNIV VS. UCLA Kick-Off 7:35 PM 30-min Vol Sep 16 vs. Sep 23 25

  26. Travel-Time, O-D using Wi-Fi or BT via ARID (Anonymous Re-Identification) Estimate travel time and origin-destination on signalized arterial roadway networks 26

  27. Regional Access to Performance Measures LTD Arterial Performance Measure Cloud Server Metro City Workstn Workstn 56 TSI 56 TSI Metro City Server Server 5 TSI 40 TSI 56 State DOT County Server Server 56 TSI 3 TSI 8 TSI State DOT Workstn 56 TSI County Workstn 27

  28. Benefit to Traffic Agencies ▪ Budget friendly ATSPM, including hardware, software, support ▪ Facilitate regional sharing of ATSPM for signal synchronization or other traffic engineering projects ▪ Enable smart use of existing signal infrastructure • Not required to upgrade controller equipment • Not required to revise detector configuration • I2V now • Enhance S mart City Mobility ▪ Automate signal performance monitoring and fine tuning • Real-time alerts • Periodic reports 28

  29. Automated Traffic Signal Performance Measures (ATSPMs) - FHWA, (https://www.fhwa.dot.gov/innovation/everydaycounts/edc_4/factsheet/automated_traffic_signal.pdf) 29

  30. Questions? FOR MORE INFORMATION CONTACT : info@livetrafficdata.com 646.569.5785 Online Contact Form: www.livetrafficdata.com/agencies THANK YOU FOR YOUR ATTENTION!

  31. LTD Data Accuracy Validation Independent evaluations

  32. LTD Data Accuracy Validation Independent Evaluation: TH 55, Golden Valley, MN Conducted by Alliant Engineering, Inc. July 2009 TH 55 (6 Intersections) 33

  33. LTD Data Accuracy Validation Queue Length Comparison July 22nd for TH55WB at Rhode Island nd Inters rsect ctio ion n (AM) 1000 1000 800 800 600 600 MaxQL-Estimation MaxQL MaxQL-Ob MaxQL Obse serv rvat atio ion 400 400 200 200 0 6:57:36 7:12: 2:00 00 7:26: 6:24 24 7:40:48 7:55:12 8:09: 9:36 36 8:24:00 July 23rd for TH55WB at Rhode Island Intersection (AM) 800 600 MaxQL-Estimation 400 MaxQL-Observation 200 0 6:57:36 7:04:48 7:12:00 7:19:12 7:26:24 7:33:36 7:40:48 7:48:00 7:55:12 8:02:24 34

  34. LTD Data Accuracy Validation Travel Time Comparison Travel Time Estimation vs. Observation(July 22 & 23) 400 400 +10 10% 300 300 -10 10% Observation (seconds) 200 200 100 100 0 0 100 100 200 200 300 300 400 400 Estimation (seconds) 35

  35. LTD Data Accuracy Validation Independent Evaluation: Orange Grove Blvd, Pasadena, CA Conducted by Iteris, Inc. October 2011 Orange Grove Blvd (6 Intersections) 36

  36. LTD Data Accuracy Validation Queue Length Result 37

  37. LTD Data Accuracy Validation Travel Time Results LTD Estimated results vs. Measured results 38

  38. Solution Regional Access to Performance Measures LTD Arterial Performance Measure Cloud Server Metro City Workstn Workstn 56 TSI 56 TSI Metro City Server Server 5 TSI 40 TSI 56 State DOT County Server Server 56 TSI 8 TSI 3 TSI State DOT County Workstn 56 TSI Workstn

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