beechurst avenue corridor study
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Beechurst Avenue Corridor Study Bill Austin, AICP MMMPO Executive - PowerPoint PPT Presentation

Beechurst Avenue Corridor Study Bill Austin, AICP MMMPO Executive Director Jing Zhang, AICP, PTP MMMPO Transportation Planner Kaken Dey, Ph.D. West Virginia University Project Introduction Existing Conditions and Proposed Alternatives


  1. Beechurst Avenue Corridor Study Bill Austin, AICP MMMPO Executive Director Jing Zhang, AICP, PTP MMMPO Transportation Planner Kaken Dey, Ph.D. West Virginia University

  2. Project Introduction Existing Conditions and Proposed Alternatives VISSIM Model

  3. Project Site. Transportation Network

  4. WV DOH Beechurst Ave Study (2003)

  5. Falling Run and Beechurst Ave Connection Study

  6. Project Site

  7. Project Site. Land Use

  8. Project Site. Traffic Volume (AADT) 100 22,788 80 60 40 7,265 20 0 EB WB 20,361 400 19,281 23,150 300 200 22,810 100 0 SB NB

  9. Project Site. Crash

  10. Project Site. Pedestrian & Transit

  11. Project Site. Land Use

  12. Project Site. Past Planning Effort

  13. Project Site. Past Planning Effort

  14. 8 th Street Existing Lane Configuration Transition Campus Dr Hough St Fayette St Walnut St Hough St Campus Dr Pleasant St Fayette St Foundry St Walnut St Pleasant St Foundry St Hurley St

  15. Project Site. Existing Operation 1 2 1 3 4 2 3 4

  16. Project Site. Existing Lane Configuration

  17. Key Issue Corridor Capacity • Northbound through movement • Intersection configuration Multi-model Transport • Trail connection • Transit and pedestrian facility • PRT Station Transfer Land Use • Infill/Redevelopment • Neighborhood Development • University Development

  18. Alternative Development • Segment Alternatives • Intersection Alternatives • Scenarios

  19. Alternative Development, Segment

  20. Alternative Development, Segment

  21. Alternative Development, Intersection

  22. Alternative Development, Intersection

  23. Alternative Development, Intersection

  24. Alternative Development, Intersection

  25. Alternative Development, Intersection

  26. Alternative Development, Scenarios Scenario I, Minimum Impact Scenario II, Minimum Impact + Intersection Improvements Scenario III, ROW Impact + Intersection Improvements Scenario IV, ROW Impact + Significant Intersection Improvements Scenario V, 4 lanes-3 lanes Mix + Intersection Improvements

  27. Scenario I, Minimum Impact 6 th St 8 th St 3 rd St 1 1 Campus Dr 1 Fayette St No left-turn when Pleasant St opposing traffic is on green Foundry St

  28. Scenario II, Minimum Impact + Intersection Improvements 6 th St 8 th St th St 3 rd St 1 1 Campus Dr 1 Fayette St Pleasant St Foundry St

  29. Scenario III, ROW Impact + Intersection Improvements 6 th St 8 th St 3 rd St 1 1 Campus Dr 1 2 Fayette St 2 Pleasant St Foundry St

  30. Scenario IV, ROW Impact + Significant Intersection Improvements 6 th St 8 th St 3 rd St 1 1 Campus Dr 1 2 Fayette St 2 Pleasant St Foundry St

  31. Scenario V, 4 lanes-3 lanes mix + Intersection Improvements 6 th St 1 8 th St 3 rd St 1 2 Campus Dr 1 2 3 Fayette St Pleasant St Foundry St 3

  32. What is VISSIM?  VISSIM is a microscopic, time step, and behavior based traffic simulation computer program  VISSIM models urban traffic and public transit operations  VISSIM can analyze traffic ( cars, trucks, pedestrians ) and transit ( buses, trains, trams ) operations under constraints such as lane configuration, traffic composition, traffic signals, transit stops, etc.

  33. VIS ISSIM Mic icrosimula lation Appli lications • Junction Geometry • Signal control • Traffic-actuated signal control • Multimodality • Multimodal Systems • Motorway Traffic • Active Traffic Management • Public Transport • Distribution-based dwell time • Public transport priority • Emissions Modelling • Mesoscopic and Hybrid Simulation • Virtual testing of autonomous vehicles

  34. Beechurst Ave Stu tudy- Existing & Future Scenarios Existing Condition • Morning Peak network development • Geometric data- used Google Maps and field data • Volume data- MMMPO provided • Speed, travel time data, signal timing- MMMPO provided • Evening Peak Future Scenarios • Scenarios- (1) to (6) 10/24/2017 34

  35. Sim imula lation Procedure 1) Model Development 2) Initial System Evaluation 3) Model Calibration • System Calibration • Operational Calibration 4) Model Evaluation 5) Model Validation

  36. Morning Peak Sim imulation Run

  37. Comparison between Exis isting scenario & & Proposed Improvement scenarios Performance Measurers • Corridor Travel time • Corridor Delay • Queue length at intersection approaches

  38. Questions? Thank You!

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