Beechurst Avenue Corridor Study Bill Austin, AICP MMMPO Executive - - PowerPoint PPT Presentation

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Beechurst Avenue Corridor Study Bill Austin, AICP MMMPO Executive - - PowerPoint PPT Presentation

Aug 18, 2023 30 likes •414 views

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

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SLIDE 1

Bill Austin, AICP

MMMPO Executive Director

Jing Zhang, AICP, PTP

MMMPO Transportation Planner

Kaken Dey, Ph.D.

West Virginia University

Beechurst Avenue Corridor Study

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Project Introduction Existing Conditions and Proposed Alternatives VISSIM Model

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Project Site. Transportation Network

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WV DOH Beechurst Ave Study (2003)

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SLIDE 5

Falling Run and Beechurst Ave Connection Study

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Project Site

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SLIDE 7

Project Site. Land Use

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Project Site. Traffic Volume (AADT) 22,788 7,265 20,361 23,150 22,810 19,281

20 40 60 80 100 EB WB 100 200 300 400 SB NB

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Project Site. Crash

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Project Site. Pedestrian & Transit

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Project Site. Land Use

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Project Site. Past Planning Effort

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Project Site. Past Planning Effort

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8th Street Campus Dr Campus Dr Hough St Hough St Fayette St Fayette St Walnut St Walnut St Pleasant St Pleasant St Foundry St Foundry St Hurley St

Existing Lane Configuration Transition

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Project Site. Existing Operation

1 1 2 2 3 3 4 4

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Project Site. Existing Lane Configuration

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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
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Alternative Development

  • Segment Alternatives
  • Intersection Alternatives
  • Scenarios
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Alternative Development, Segment

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Alternative Development, Segment

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Alternative Development, Intersection

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Alternative Development, Intersection

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Alternative Development, Intersection

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Alternative Development, Intersection

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Alternative Development, Intersection

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Scenario I, Minimum Impact

Alternative Development, Scenarios

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

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Scenario I, Minimum Impact

No left-turn when

  • pposing traffic is
  • n green

1 1 1

Pleasant St Fayette St Campus Dr 8th St 6th St 3rd St Foundry St

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Scenario II, Minimum Impact + Intersection Improvements

1 1 1

Pleasant St Fayette St Campus Dr 8th St 6th St 3rd St Foundry St

th St

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Scenario III, ROW Impact + Intersection Improvements

1 1 1 2 2

Pleasant St Fayette St Campus Dr 8th St 6th St 3rd St Foundry St

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Scenario IV, ROW Impact + Significant Intersection Improvements

1 1 1 2 2

Pleasant St Fayette St Campus Dr 8th St 6th St 3rd St Foundry St

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Scenario V, 4 lanes-3 lanes mix + Intersection Improvements

1 2 3 3 2 1 1

Pleasant St Fayette St Campus Dr 8th St 6th St 3rd St Foundry St

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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.

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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

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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

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Sim imula lation Procedure

1) Model Development 2) Initial System Evaluation 3) Model Calibration

  • System Calibration
  • Operational Calibration

4) Model Evaluation 5) Model Validation

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Morning Peak Sim imulation Run

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Comparison between Exis isting scenario & & Proposed Improvement scenarios

Performance Measurers

  • Corridor Travel time
  • Corridor Delay
  • Queue length at intersection approaches
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Questions?

Thank You!