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SHRP II R-11 Strategic Approaches at the Corridor and Network Levels to Minimize Disruptions From the Renewal Process June 10, 2014 Webinar.

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Presentation on theme: "SHRP II R-11 Strategic Approaches at the Corridor and Network Levels to Minimize Disruptions From the Renewal Process June 10, 2014 Webinar."— Presentation transcript:

1 SHRP II R-11 Strategic Approaches at the Corridor and Network Levels to Minimize Disruptions From the Renewal Process June 10, 2014 Webinar

2 Project Purpose Phase I of this project identified widely varying levels of effort and sophistication in sequencing renewal projects. Phase I of this project identified widely varying levels of effort and sophistication in sequencing renewal projects. A need for a software tool was identified. A need for a software tool was identified.

3 Primary Target Audiences DOT Program Managers in moderately and densely urbanized States, experiencing congestion, and with an active Renewal program. DOT Program Managers in moderately and densely urbanized States, experiencing congestion, and with an active Renewal program. Planners and Program Managers in moderate and large MPO’s, with an active Renewal program. Planners and Program Managers in moderate and large MPO’s, with an active Renewal program.

4 Primary Requirements The tool MUST NOT require user to abandon work done on management systems (PMS, BMS, etc.) The tool MUST NOT require user to abandon work done on management systems (PMS, BMS, etc.) The tool MUST NOT require user to collect new data or require additional personnel The tool MUST NOT require user to collect new data or require additional personnel

5 Phases II & III– Software Development Workzone Implementation Strategies Estimator (WISE)

6 An Engine in Two Parts Planning (Project Sequencing Optimization Engine). Planning (Project Sequencing Optimization Engine). Operational Software Operational Software A converted Network and data sets are the only pre-requisites. A converted Network and data sets are the only pre-requisites. Microsimulation software is used to create diversion estimates to feed back into the Planning Module- described in Phase IV Microsimulation software is used to create diversion estimates to feed back into the Planning Module- described in Phase IV

7 Common Terms Program : One complete instance of WISE consisting of the Strategies, Planning Characteristics, Project information, Planning analysis and Operation Analysis. Program : One complete instance of WISE consisting of the Strategies, Planning Characteristics, Project information, Planning analysis and Operation Analysis. WorkSpace : The folder which contains all of the material for ONE Program(from above). This is an active directory for all activity within the current Program. WorkSpace : The folder which contains all of the material for ONE Program(from above). This is an active directory for all activity within the current Program. Project : One instance of construction with a Program. Each Program must have between 2 and 5 Projects. Project : One instance of construction with a Program. Each Program must have between 2 and 5 Projects. NeXTA: Network Explorer for Traffic Analysis which is used to import Networks to WISE. NeXTA: Network Explorer for Traffic Analysis which is used to import Networks to WISE. Network : The NeXTA generated network which contains the model where the WISE Program exists. Network : The NeXTA generated network which contains the model where the WISE Program exists. Planning Mode : Mode which allows user to generate a Program and run WISE Analysis Engine Planning Mode : Mode which allows user to generate a Program and run WISE Analysis Engine Operation Mode : Mode which allows users to interface with microcomputer software to run Base Scenario and individual Project Scenarios to determine Work Zone Volumes with and without Projects. Diversion Results are fed back to Planning Mode. Operation Mode : Mode which allows users to interface with microcomputer software to run Base Scenario and individual Project Scenarios to determine Work Zone Volumes with and without Projects. Diversion Results are fed back to Planning Mode.

8 The G.U.I.

9 Planning Inputs

10 Importing A Network

11 Data Requirements are Minimal Link – Node Network With Basic Geometry Link – Node Network With Basic Geometry Basic Traffic Flow Numbers Basic Traffic Flow Numbers NeXTA Utilizes.xml Spreadsheet Formats NeXTA Utilizes.xml Spreadsheet Formats Additional Data can be Utilized, if Available Additional Data can be Utilized, if Available

12 Importing A Network

13 Planning Inputs Planning Characteristics Planning Characteristics Project Strategies Project Strategies Project Info Project Info

14 Planning Characteristics

15 Project Strategies

16 Identified in Phase I Demand Based Strategies: designed to reduce the demand upon a given link Demand Based Strategies: designed to reduce the demand upon a given link Duration Based Strategies: designed to reduce the duration of the disruption Duration Based Strategies: designed to reduce the duration of the disruption

17 Project Info

18 A Six – Project Load to the Network 1 2 3 4 5 6

19 Running the Algorithm

20 WISE Behind the Scenes Table 1 Project profiles ProjectEarliest start timeLatest completion timeDuration (months)Duration StrategyActual durationPrecedance 1Jun, 2012May, 2015817 2Jun, 2012May, 201555 3Jun, 2012May, 201566 4Jun, 2012May, 2015716 5Jun, 2012May, 201566 6Jun, 2012May, 2015826 ProjectCapacity reductionOriginal posted speed limitNew posted speed limitConstruction mode 10.54515Both 20.54515Both 30.54515Day 40.54515Day 50.54530Day 60.24530Day

21 Sequencing Results

22 The Operations Engine * * Users can employ their own traffic simulation models to estimate diversion as explained in Phase IV. In such a case, diversion estimates would be entered into the Planning Module manually.

23 More Refined Diversion Analysis Microsimulation provides a more refined estimate of traffic diversion based upon: Microsimulation provides a more refined estimate of traffic diversion based upon: – Additional Project Information – What-if Scenarios – Interactions With Nearby Links

24 Now, … Back to Planning

25 Now Re-Run the Sequence

26 Phase IV- Field Validation and Calibration Field Validation and Calibration Field Validation and Calibration – Validation- test in locations with completed projects Des Moines, IA Des Moines, IA Phoenix, AZ Phoenix, AZ – Pilot tests- test in locations with project plans Orlando, FL Orlando, FL Worcester, MA Worcester, MA Continued Testing and Code Stabilization Continued Testing and Code Stabilization

27 DesMoines, Iowa Validation Project Description Project Description – I-235 through DesMoines- reconstruction, median widening, operational improvement WISE Application WISE Application – Parallel Route 6 defined as alternate route – Reconstruction re-defined as 6 segments – 8 scenarios tested

28 DesMoines, Iowa Validation (cont.) WISE Data Preparation (same as other cases) WISE Data Preparation (same as other cases) – Coded network and TAZ file obtained from travel analysis model (in this case iTRAM) – Links and TAZs for study area selected (in this case using Transcad) – Links and TAZs consolidated to meet WISE limitations – in this case ~ 55; redefine centroids & connectors – Convert all one-way roads to 2-way roads – Re-number centroids and nodes sequentially

29 DesMoines, Iowa Validation (cont.) – Figure on left: Iowa Code Network 1 – Figure on right: IA I-235 and Route 6 Blowup

30 DesMoines, Iowa Validation (cont.) Software & GUI Modifications Software & GUI Modifications – Re-write code to preserve user and agency costs for each scenario – Modify user costs comparable to agency costs 8 Scenarios Tested 8 Scenarios Tested – User-supplied diversion @ 0, 5%, 10%, 20%, 40% – Day or Night construction for 1 segment (4 each) – Public information strategies for 3 segments – Shorten time for 1 segment with 10% > cost

31 DesMoines, Iowa Validation (cont.) Highlight Findings: Outputs performing in directions and approximate ranges expected Highlight Findings: Outputs performing in directions and approximate ranges expected – Total user cost for diversion > where diversion > and limited route options available – Total user cost declines with night construction

32 Phoenix, AZ Validation The Phoenix program of projects includes six projects: The Phoenix program of projects includes six projects: – A: 202L Red Mountain Fwy – 101L to Gilbert Rd. 3 ln fwy, adding HOV Lane – B: 202L Santan Fwy – I-10 to Gilbert Rd. 3 ln fwy, adding HOV lane, HOV directional ramps at I-10 and 101L – C: SR 101 HOV Addition – SR 202 Red Mountain to Princess Dr. – D: Twin Peaks T.I. – I-10 at MP 245 Add traffic interchange to I-10 / MP 245 for access to I-10 from Teaks Peaks Rd. – E: I-10 Kino Blvd to Valencia Rd – F: 202 Red Mountain Design Build –Addition of EB:I-10 to 101, WB 101 to Scottsdale Rd WISE Application WISE Application – 202 (approx. 14 miles long) and 101 (approx. 15 miles long) corridors are freeways with limited access – Interchanges are predominantly closer than one mile – Each corridor represented by dozens of key roadway segments. Data Preparation: Same steps as DesMoines, Iowa Data Preparation: Same steps as DesMoines, Iowa

33 Phoenix, AZ Validation (cont.) 6 Scenarios Tested 6 Scenarios Tested – Daytime Base Scenario – Scheduling Project 1 after Project 8 with diversion @ 5%, 10%, 5%, 15% with demand strategy for Project 8 – Diversion developed in TransModeler and fed back into WISE for comparison of scenarios

34 Phoenix, AZ Validation (cont.) Highlight Findings: Highlight Findings: – As expected, Scenarios 3 and 4 have the highest values and are almost identical – Diversion varies greatly by segment, depending on congestion, availability of alternative routes, etc.

35 Orlando, FL Pilot Test Project Description Project Description – Reconstruction of I-4, SR 400 to accommodate 3 General Use Lanes, auxiliary lanes, and 2 Managed Lanes for eastbound and westbound (affects 14 interchanges, 5 bridges). Project corridor is approx. 20 miles long. WISE Application WISE Application – 4 key roadway segments selected from project corridor. Data Preparation- same steps as DesMoines and Phoenix Data Preparation- same steps as DesMoines and Phoenix

36 Orlando, FL Pilot Test (cont.) – Orlando Code Network

37 Orlando, FL Pilot Test (cont.) 5 Scenarios Tested 5 Scenarios Tested – Base Scenario – Project 1 and 3 with user-supplied diversion @ 5% – Project 1 and 3 with user-supplied diversion @ 5% and 2% demand reductions for 5 mile radius – Project 1 and 3 with night construction – Diversion calculated by TransModeler

38 Project: Construct Managed Lanes on I-4 EXISTING FUTURE

39 High-fidelity, microscopic treatment of 21-mile I-4 corridor Mesoscopic simulation of alternative routes Speed reduction at project locations to reflect work zones Dynamic traffic assignment (DTA) to estimate diversion TransModeler I-4 Hybrid Traffic Simulation Approach

40 Alternative Routes

41 Potential Extensions of the Analysis Analyze impacts of work zone and work zone scheduling Test ITS strategies to mitigate their effects Assess needs on alternative, parallel facilities during construction Analyze performance and operation of managed lanes after construction

42 Orlando, FL Pilot Test (cont.) Highlight Findings: Highlight Findings: – Increased user cost when diversion forced, with no viable alternate routes – Total user cost declines with night construction – Same user costs when no viable alternate routes available, without the intervention of night construction

43 Worcester, MA Pilot Test Project Description Project Description – Reconstruction of 4 areas along Route 9: re-docking or replacement of bridges, intersection improvement WISE Application WISE Application – Washington Square traffic circle defined as intersection – I-290 coded as 2-way intersections instead of interchange Data Preparation- Same steps as other pilot and validations Data Preparation- Same steps as other pilot and validations

44 Worcester, MA Pilot Test (cont.) Highlight Findings: Highlight Findings: – Simultaneous construction of neighboring projects increases congestion and makes diversion more difficult – Total user cost declines with night construction

45 Summary Findings WISE adequately optimizes the sequence of a program of projects across a network WISE adequately optimizes the sequence of a program of projects across a network WISE facilitates testing of different scenarios and strategies, permitting comparison of user and agency costs and customization of agency-defined values and inputs WISE facilitates testing of different scenarios and strategies, permitting comparison of user and agency costs and customization of agency-defined values and inputs WISE NexTA limitations (e.g. 2-way road stick network) inhibits its easy application, as identified in the Phase IV Validation and Pilot WISE NexTA limitations (e.g. 2-way road stick network) inhibits its easy application, as identified in the Phase IV Validation and Pilot

46 Implementation Recommendations Modify the WISE tool to interface directly with virtually any commercial or non-proprietary network system, rather than require conversion to meet WISE specifications Modify the WISE tool to interface directly with virtually any commercial or non-proprietary network system, rather than require conversion to meet WISE specifications Increase WISE flexibility to define construction projects/ roadway segments Increase WISE flexibility to define construction projects/ roadway segments Increase WISE capacity to handle more zones Increase WISE capacity to handle more zones Improve Planning Module’s diversion estimates, with feedback from network models if available Improve Planning Module’s diversion estimates, with feedback from network models if available

47 Questions?


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