TxDOT TMS PERFORMANCE MEASURES ITS TEXAS Texas Department of Transportation

Transcription

1 TxDOT TMS PERFORMANCE MEASURES ITS TEXAS 2017 Texas Department of Transportation Traffic Management Systems November 2017

2 TRF-TM Update 1 2 Implementation of TMS Performance Metrics TMS Performance Metrics Every Day Counts (EDC) 4 TIM Data Collection Performance Measures (Lonestar ATMS) Incident Detail Report Lonestar ATMS IMD Development of Data Analytics Capabilities Summary Traffic Management Systems November

3 TMS Metrics / Analytics March 2017 Previously TxDOT Engineering Ops dashboard had 13 metrics, none on Traffic Management Published three priority metrics on Eng Ops dashboard Asset uptime %, incident clearance time, and level of travel time reliability Automating collection of display of Metrics Completed automation of metrics via Lonestar (first two metrics) and working on automating the INRIX data (Level of Travel Time Reliability) Expanding Metrics outside of the Metros Started with three metrics in the metros and expand to other districts in a staged approach over next year or two During Hurricane Harvey, the operational status of the equipment in the impacted regions was reported to TxDOT Admin daily Focusing on starting with performance metrics dashboard for coastal districts and hurricane evacuation routes Traffic Management Systems November

4 16 TMS metrics are in development TRF/IMD Asset uptime % Incident clearance time Level of travel time reliability TMS coverage Asset inventory and age Roadway clearance time Secondary crashes Peak Hour Travel Time Ratio 9 Crashes, injuries, fatalities 10 Safety service patrol assists provided 11 Workzone incidents 12 DMS travel time display 13 Time to repair assets 14 Events logged by TMC 15 Wrong way events 16 TMS spending (UTP and non-utp) Priority metric included on Engineering Operations dashboard Priority metric planned for inclusion on Engineering Operations dashboard October ITS meeting deck - IMD workshops v1.0.pptx 11 November

5 TMS Metrics / Analytics March TMS metrics implemented in FY 2017 TMS Asset Operational Uptime- measure how Districts maintain their traffic management equipment, is the most critical metric to improve in the short-term Incident Clearance Times- Measure mobility on our system, driven by District incident management processes in collaboration with regional partners Level of Travel Time Reliability- An FHWA MAP-21 recommendation, to measure impact on the public from traffic management strategies applied to on-system roads e.g. work zone management, DMS, etc. TMS System Coverage- Measure and understand what portion of onsystem roadways are adequately covered with ITS equipment and communications, or where coverage needs to be expanded Traffic Management Systems November

6 Tableau TxDOT s Data Visualization & Analytics Tool Why we bought Tableau and what does it do for us? Provides self-service analytics capabilities. Very powerful tool, can be used to used to quickly identify areas of strength & weaknesses. Data Lake Infrastructure Data Lake infrastructure has been stood up and being used to generate 3 metrics. Tableau Rollout and Training Schedule Available to TRF and the traffic sections of the Metro Districts Target completion in end of Nov 2017 for the rollout to the rest of the Districts. Traffic Management Systems November

7 Example of TMS Metrics on Eng Ops Dashboard Traffic Management Systems November

8 Level of System Completion- Metro Districts Metro District TMS System Completion District Total Centerline Miles Complete (Existing) System Centerline Miles % System Under Construction Centerline Miles % Centerline Miles System in Design % Centerline Miles Not Programmed Centerline Miles % AUS % 21 12% 38 22% 48 28% DAL % % 4 1% 44 8% ELP % 11 6% 18 9% 42 21% FTW % 56 23% 35 14% 37 15% HOU % 5 1% 61 8% % SAT % 25 11% 13 5% 69 29% Defined complete system coverage for urban freeway including CCTV, DMS, Traffic Sensor System, high speed communications to TMC Will expand system coverage metrics to include Arterials, Integrated Corridor Management and Traffic Signal performance metrics Plan to incorporate results of TRB - NCHRP Connected Road Classification System (CRCS) Development Research being completed by TTI Districts developing plans for system completion for semi-annual update reports; including projects in the UTP Traffic Management Systems November

9 TMS Asset Operational Uptime Metro District Asset Uptime District May June July August AUS 62% 58% 62% 61% DAL 97% 93% 98% 98% ELP 84% 84% 81% 82% FTW 85% 83% 83% 84% HOU 93% 92% 100% 100% SAT 85% 85% 74% 81% Ensure 90%+ equipment is operational including feasible areas under construction; implement asset and network management Districts provided plan to achieve or maintain 90%+ asset uptime Semi-annual report includes obsolescence mitigation plan; funding allocation vs. funding need; plan to maintain/achieve 90% uptime Uptime level goal will be elevated over time Traffic Management Systems November

10 Incident Clearance Stats- Metro Districts Incident Clearance Metro Districts District AUS DAL ELP FTW HOU SAT Metric Collision May Disabled Vehicle Collision June July August September Disabled Vehicle Collision Disabled Vehicle Collision Disabled Vehicle Collision Disabled Vehicle Incident duration (min) % Time Stamp Recorded 89% 89% 89% 89% 86% 95% 82% 94% 90% 84% Incident duration (min) % Time Stamp Recorded 63% 53% 63% 53% 89% 67% 84% 65% 94% 91% Incident duration (min) % Time Stamp Recorded 97% 98% 97% 98% 97% 100% 67% 100% 99% 98% Incident duration (min) % Time Stamp Recorded 47% 49% 47% 49% 46% 31% 36% 45% 42% 53% Incident duration (min) % Time Stamp Recorded 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% Incident duration (min) % Time Stamp Recorded 91% 70% 91% 70% 93% 72% 89% 61% 95% 58% Traffic Management Systems November

11 Every Day Counts (EDC) 4 Program Every Day Counts (EDC) 4 Program Accelerated Traffic Incident Management (TIM) Data Collection to Improve Overall Traffic Incident Management Goal is to increase the amount, consistency and quality of TIM data collection to support development of performance measures for evaluating and improving traffic incident response. Five Key Issues: How can we capture more incidents on the freeway? How can we optimize TMC staffing and activities? How can we better record incident response as it happens? How can we better identify where TIM resources are needed? How can we show the benefits of incident management? TTI leading effort under IAC with TxDOT, Jeff Kaufman project lead Traffic Management Systems November

12 Every Day Counts (EDC) 4 Program Every Day Counts (EDC) 4 Program Project Activities Review TIM activities of TxDOT/Toll-Road Authority TMCs to ID best practices Identify other potential sources of incident data (police, Waze, detection systems, etc.) Review Lonestar s TIM Module in comparison with Houston s Regional Incident Management System (RIMS) Approaches for improved Secondary Crash identification Tying Incident and Speed data to ID Return to Normal conditions for postincident traffic Enhance TIM PM metrics displays for improved program monitoring and decision-making Quantify benefits of TIM (safety, emissions, economics) Traffic Management Systems November

13 Performance Measures (Lonestar ATMS) Lonestar ATMS Supports Incident Management Timeline T1, T2, T4, T5, T6, T7- configured for easy operator input T3- Recording both DMS/equipment response plan time stamp & dispatch of emergency response (service patrol/pd/etc.) when available Traffic Management Systems November

14 Performance Measures (Lonestar ATMS) Traffic Management Systems November

15 Performance Measures Lonestar ATMS Traffic Management Systems November

16 Performance Measures Lonestar ATMS Traffic Management Systems November

17 Performance Measures Lonestar ATMS Secondary Crashes Those that occur at the scene of an original crash, or in the queue, including the opposite direction- Paul Jodoin- Traffic Incident Management Program Manager, FHWA Traffic Management Systems November

18 Incident Detail Report Lonestar ATMS Traffic Management Systems November

19 Incident Detail Report Lonestar ATMS Traffic Management Systems November

20 Incident Detail Report Lonestar ATMS Traffic Management Systems November

21 Incident Detail Report Lonestar ATMS Traffic Management Systems November

22 TxDOT IMD Developing "in-house" Advanced Analytics Tools Traffic Management Systems November

23 Data sources prioritized based on Districts need/complexity Preliminary Group 1: Lonestar & INRIX data Group 2: + CRIS data Group 3: + Real-time data Group 4: + Asset mgmt & other TxDOT data M1 TMS coverage M2 Incident clearance time M3 Roadway clearance time M4 Events logged by TMC M5 M6 Level of travel time reliability Peak Hour Travel Time Ratio M7 Asset uptime % M8 DMS travel time display M1 1 M1 2 M1 3 M1 4 I3 S1 I1 I2 A1 Crashes, injuries, fatalities Secondary crashes Workzone incidents Wrong way events Analyze wrong way driving crashes and fatalities Staffing analysis by correlating performance vs. varying Level of Service Locate incident hotspots to improve response time Analyze Incident capture rate (Lonestar vs. CRIS) to guide staffing needs Prioritize ITS coverage gaps C1 D1 I4 I5 Manage impact of construction using active work zone data Use predictive analytics to notify drivers of delays/alt routes Simulate lane closure to understand impact on traffic Use third party data (e.g. Waze) for incident detection M9 Asset inventory and age M10 Time to repair assets M15 M16 A2 D2 Safety service patrol assists provided TMS spending (UTP and non-utp) Prioritize critical or high risk equipment for maintenance Simulate impact/prioritize TMS construction projects Use cases Metrics Traffic Management Systems November

24 Future capabilities enabled through IMDs analytics tools Metrics Level of Travel Time Reliability Data Mining ITS coverage gap prioritization Advanced analytics Lane closure simulation Crash densities by type Asset maintenance prioritization Predictive analytics for better traffic flow management Drill downs by county, day of week, weather conditions, and time of day Traffic Management Systems November

25 Summary- TxDOT TMS Metrics TMS metrics added to Engineering Operations dashboard at the district level 4 Metrics currently tracked, will expand to 16 Districts providing semi-annual status updates for TMS programs Goals include- Ensuring system maintenance/upgrades are adequately funded Identifying projects for the UTP that will facilitate TMS system completion Building business case for investment in TMS including staffing TMCs Facilitate performance based planning process (TSMO) Traffic Management Systems November

26 Summary- TxDOT TMS Metrics Questions? Brian Fariello, P.E. Traffic Management Section Director, Traffic Operations Division Texas Department of Transportation Traffic Management Systems November