28
Application of HSM Predictive Method and IHSDM to Design Decision-Making AN ARIZONA CASE STUDY Presented by: Kohinoor Kar, Ph.D., P.E., PTOE and Mark Poppe, P.E. - Arizona Department of Transportation Taylor Ehrick, EIT and Mike Colety, P.E., PTOE - Kimley-Horn and Associates, Inc.

Application of HSM Predictive Method and IHSDM to Design

  • Upload
    others

  • View
    7

  • Download
    0

Embed Size (px)

Citation preview

Page 1: Application of HSM Predictive Method and IHSDM to Design

Application of HSM Predictive Method and IHSDM to Design

Decision-Making AN ARIZONA CASE STUDY

Presented by: Kohinoor Kar, Ph.D., P.E., PTOE and Mark Poppe, P.E. - Arizona Department of TransportationTaylor Ehrick, EIT and Mike Colety, P.E., PTOE - Kimley-Horn and Associates, Inc.

Page 2: Application of HSM Predictive Method and IHSDM to Design

HIGHWAY SAFETY MANUAL, FIRST EDITION

Page 3: Application of HSM Predictive Method and IHSDM to Design

SUBSTANTIVE VS. NOMINAL

Page 4: Application of HSM Predictive Method and IHSDM to Design

PROJECT LEVEL DECISION-MAKING

Page 5: Application of HSM Predictive Method and IHSDM to Design

OUTLINE

» Interactive Highway Safety Design Model» Case Study – AZ State Route (SR) 264

• Existing Conditions• Proposed Alternatives• Results of Analysis• Economic Analysis• Segment Prioritization

» Lessons Learned

Application of HSM and IHSDM to Design Decision-Making: An Arizona Case Study

Page 6: Application of HSM Predictive Method and IHSDM to Design

INTRODUCTION

» Interactive Highway Safety Design Model (IHSDM)• Developed by FHWA• 6 Evaluation Modules• The Crash Prediction Module is a direct

implementation of the Predictive Method−Highway Safety Manual (HSM) Part C−User-friendly interface−Standardized yet customizable output reports

Application of HSM and IHSDM to Design Decision-Making: An Arizona Case Study

Page 7: Application of HSM Predictive Method and IHSDM to Design

IHSDM INTERFACE

Application of HSM and IHSDM to Design Decision-Making: An Arizona Case Study

Page 8: Application of HSM Predictive Method and IHSDM to Design

IHSDM INTERFACE

Application of HSM and IHSDM to Design Decision-Making: An Arizona Case Study

Page 9: Application of HSM Predictive Method and IHSDM to Design

CASE STUDY – SR 264EXISTING CONDITIONS

» Arizona Pilot Project• Arizona is a support

state for HSM implementation under NCHRP 17-50

• SR 264−Milepost 441 to 466

Application of HSM and IHSDM to Design Decision-Making: An Arizona Case Study

Ganado, AZ

Begin ProjectMP 441.19

End ProjectMP 465.74

Page 10: Application of HSM Predictive Method and IHSDM to Design

CASE STUDY – SR 264EXISTING CONDITIONS

» Rural Minor Arterial » Navajo Nation, Arizona » Undivided Two-Lane,

Two-Way Road » 12-foot travel lanes » 0-1-foot shoulders » Intermittent right and left

turn lanes » Intermittent passing lanes

Application of HSM and IHSDM to Design Decision-Making: An Arizona Case Study

Page 11: Application of HSM Predictive Method and IHSDM to Design

CASE STUDY – SR 264EXISTING CONDITIONS

» Project Constraints• Limited Right-of-Way

−Additional Right-of-Way cannot be obtained from Navajo Nation at this time

• Large Cross Culverts• Existing Steep Side Slopes

Application of HSM and IHSDM to Design Decision-Making: An Arizona Case Study

Page 12: Application of HSM Predictive Method and IHSDM to Design

EXISTING TRAFFIC AND CRASH DATA

Application of HSM and IHSDM to Design Decision-Making: An Arizona Case Study

Page 13: Application of HSM Predictive Method and IHSDM to Design

ALTERNATIVE ANALYSIS

» Analyzed following alternatives: • Widen to 5-foot shoulders • Widen to 8-foot shoulders • Improve superelevation per AASHTO

recommendations » Shoulder widening alternatives also

included: • Centerline and shoulder rumble strips • Flattening of side slopes • Installing guardrail

Application of HSM and IHSDM to Design Decision-Making: An Arizona Case Study

Page 14: Application of HSM Predictive Method and IHSDM to Design

ALTERNATIVE ANALYSIS

» Predictive Method includes:• Safety Performance Function (SPF)

−Roadway geometry/characteristics and traffic conditions determine roadway’s base condition

• Crash Modification Factors (CMFs)−CMFs for 13 road elements are applied to SPF

to create site-specific function• Local Calibration Factor (C)

−Accounts for jurisdictional/regional variations in climate, driver population, etc.

Application of HSM and IHSDM to Design Decision-Making: An Arizona Case Study

Page 15: Application of HSM Predictive Method and IHSDM to Design

ALTERNATIVE ANALYSIS

» Notable variations from base condition• Shoulder Width• Roadside Hazard

Rating• Centerline

Rumble Strips

Application of HSM and IHSDM to Design Decision-Making: An Arizona Case Study

Page 16: Application of HSM Predictive Method and IHSDM to Design

ALTERNATIVE ANALYSIS

» 17 Curves within project limits• Existing superelevation rates

−Range from 1.4% to 2.1% less than the AASHTO Method 5 recommend value

» Evaluate crash reduction associated with improved superelevation rates• Full reconstruction• Differential overlay

Application of HSM and IHSDM to Design Decision-Making: An Arizona Case Study

Page 17: Application of HSM Predictive Method and IHSDM to Design

EXPECTED CRASH RESULTS

Application of HSM and IHSDM to Design Decision-Making: An Arizona Case Study

Page 18: Application of HSM Predictive Method and IHSDM to Design

EXPECTED CRASH RESULTS (CONT’D)

» Crash reduction benefit of wider shoulders has diminishing returns as shoulder width increases

Application of HSM and IHSDM to Design Decision-Making: An Arizona Case Study

Page 19: Application of HSM Predictive Method and IHSDM to Design

REGION-SPECIFIC CRASH SEVERITY PROPORTIONS

» Default HSM crash severity proportions based on State of Washington data

» For SR 264, developed proportions using region-specific data:• Three rural two-lane, two-way state

highways located within Navajo Nation and Hopi Tribe lands

Application of HSM and IHSDM to Design Decision-Making: An Arizona Case Study

Page 20: Application of HSM Predictive Method and IHSDM to Design

REGION-SPECIFIC CRASH SEVERITY PROPORTIONS

Application of HSM and IHSDM to Design Decision-Making: An Arizona Case Study

Page 21: Application of HSM Predictive Method and IHSDM to Design

ECONOMIC ANALYSIS OF ALTERNATIVES

» Performed Benefit-Cost ratio analysis to compare alternatives

» Calculated annual average number of crashes using crash data and crash severity distribution

» Annual averages from IHSDM analysis X Crash Reduction Factor (CRF) = total reduction in crashes

» Total reduction X unit cost = annual expected benefit in dollars

» Calculated costs for each alternative and annualized costs

Application of HSM and IHSDM to Design Decision-Making: An Arizona Case Study

Page 22: Application of HSM Predictive Method and IHSDM to Design

ECONOMIC ANALYSIS OF ALTERNATIVES (CONT’D)

Application of HSM and IHSDM to Design Decision-Making: An Arizona Case Study

Page 23: Application of HSM Predictive Method and IHSDM to Design

ECONOMIC ANALYSIS OF ALTERNATIVES (CONT’D)

Application of HSM and IHSDM to Design Decision-Making: An Arizona Case Study

Page 24: Application of HSM Predictive Method and IHSDM to Design

ECONOMIC ANALYSIS OF ALTERNATIVES (CONT’D)

» 8-foot shoulders provide greatest safety benefit with maximum cost

» 5-foot shoulders provide the greatest safety benefit per dollar spent

» Superelevation Improvement benefits are outweighed by costs

Application of HSM and IHSDM to Design Decision-Making: An Arizona Case Study

Page 25: Application of HSM Predictive Method and IHSDM to Design

SEGMENT PRIORITIZATION

» Split project into two separate construction segments due to budget

» Prioritized each segment based on potential crash reduction

» SR 264 segment limits: • Segment I - MP 441.19 to MP 452.00 • Segment II - MP 452.00 to MP 465.74

Application of HSM and IHSDM to Design Decision-Making: An Arizona Case Study

Page 26: Application of HSM Predictive Method and IHSDM to Design

EXPECTED CRASH RESULTS (CONT’D)

» Segment II has greater crash reduction» Construct Segment II prior to Segment I» Small percentage difference (2.9%) in

crash reduction – consider other factors

Application of HSM and IHSDM to Design Decision-Making: An Arizona Case Study

Page 27: Application of HSM Predictive Method and IHSDM to Design

LESSONS LEARNED

» IHSDM provides user-friendly interface for implementing HSM Predictive Method

» IHSDM can be used to quantify safety benefits for various proposed improvements

Application of HSM and IHSDM to Design Decision-Making: An Arizona Case Study

Page 28: Application of HSM Predictive Method and IHSDM to Design

THANK YOU

» Mark Poppe• [email protected]

» Kohinoor Kar• [email protected]

» Mike Colety• [email protected]

» Taylor Ehrick• [email protected]