Role of SPFs in SafetyAnalyst Ray Krammes Federal Highway Administration.

Slides:



Advertisements
Similar presentations
Interactive Highway Safety Design Model (IHSDM)
Advertisements

HSM: Celebrating 5 Years Together Brian Ray, PE Casey Bergh, PE.
HSM Implementation Tools Safety Analyst
DISTRICT PILOT PROJECT PRESENTATION MAY 2, Highway Safety Manual Implementation.
SafetyAnalyst Michael S. Griffith FHWA July 2003.
SafetyAnalyst Overview Presentation Michael S. Griffith FHWA June 2003.
Slide 1 ENCE688F and Highway Safety Manual Dr. Mohamadreza Banihashemi Senior Transportation Research Engineer II GENEX Systems University of Maryland.
Session #4, Forrest Council, Slides. The Potential Impacts of a Towaway Reporting Threshold on Driver/User and Roadway Safety Programs Forrest M. Council.
Investigation of Varied Time Intervals in Crash Hotspot Identification Authors: Wen Cheng, Ph.D., P.E., Fernando Gonzalez, EIT, & Xudong Jia; California.
Enhanced Safety Prediction Methodology and Analysis Tool for Freeways and Interchanges James A. Bonneson August 2012 NCHRP Project
Spring  Types of studies ◦ Naïve before-after studies ◦ Before-after studies with control group ◦ Empirical Bayes approach (control group) ◦ Full.
Spring INTRODUCTION There exists a lot of methods used for identifying high risk locations or sites that experience more crashes than one would.
Evaluation Tools to Support ITS Planning Process FDOT Research #BD presented to Model Advancement Committee presented by Mohammed Hadi, Ph.D., PE.
Incorporating Safety into the Highway Design Process.
Incorporating Temporal Effect into Crash Safety Performance Functions Wen Cheng, Ph.D., P.E., PTOE Civil Engineering Department Cal Poly Pomona.
Session 10 Training Opportunities Brief Overview of Related Courses in USA / Canada Geni Bahar, P.E. NAVIGATS Inc.
Road Safety Management Process
SCOHTS Meeting Robert Pollack - FHWA April 28, 2010.
Role of SPFs in the Interactive Highway Safety Design Model (IHSDM) Mike Dimaiuta LENDIS Corporation.
The Empirical Bayes Method for Safety Estimation Doug Harwood MRIGlobal Kansas City, MO.
Network Screening 1 Module 3 Safety Analysis in a Data-limited, Local Agency Environment: July 22, Boise, Idaho.
2-1 LOW COST SAFETY IMPROVEMENTS The Tools – Identification of High Crash Locations – Session #2.
Evaluation of Alternative Methods for Identifying High Collision Concentration Locations Raghavan Srinivasan 1 Craig Lyon 2 Bhagwant Persaud 2 Carol Martell.
Safety management software for state and local highway agencies: –Improves identification and programming of site- specific highway safety improvements.
SPFs Applications by State DOTs John Milton Ph.D., P.E., Washington State Department of Transportation National Safety Performance Function Summit July.
HSM Use and Training Karen K. Dixon, Ph.D., P.E. Oregon State University.
Introduction: Overview of Roadway Safety Management Safety Analysis in a Data-limited, Local Agency Environment: July 22, Boise, Idaho 1 Module.
Freeway Congestion In The Washington Region Presentation to National Capital Region Transportation Planning Board February 15, 2006 Item # 9.
Jason J. Siwula, PE – Safety Engineer DOES 24+0=22+2? AN INTRO TO HSM METHODS.
Overview of the AASHTO Highway Safety Manual Kevin J. Haas, P.E.—Traffic Investigations Engineer Oregon Department of Transportation Traffic—Roadway Section.
Data Palooza Workshop May 9, 2013 Rabinder Bains, FHWA – Office of Policy and Government Affairs.
9-1 Using SafetyAnalyst Module 4 Countermeasure Evaluation.
1 Element 1: The Systemic Safety Project Selection Process Element 1: 4-Step Project Selection Process.
NC Local Safety Partnership Selecting Interventions.
The Highway Safety Manual: A New Tool for Safety Analysis John Zegeer, PE Kittelson & Associates, Inc. HSM Production Team Kittelson & Associates, Inc.
Strategic Highway Research Program 2 Project L07 Identification and Evaluation of the Cost- Effectiveness of Highway Design Features to Reduce Nonrecurrent.
University of Minnesota Intersection Decision Support Research - Results of Crash Analysis University of Minnesota Intersection Decision Support Research.
Putting Together a Safety Program Kevin J. Haas, P.E.—Traffic Investigations Engineer Oregon Department of Transportation Traffic—Roadway Section (Salem,
July 29 and 30, 2009 SPF Development in Illinois Yanfeng Ouyang Department of Civil & Environmental Engineering University of Illinois at Urbana-Champaign.
Interactive Highway Safety Design Model (IHSDM) By Josh Hinds.
Use and Modification of Default SPFs in the IHSDM Mike Dimaiuta LENDIS Corporation.
Calibrating Highway Safety Manual Equations for Application in Florida Dr. Siva Srinivasan, Phillip Haas, Nagendra Dhakar, and Ryan Hormel (UF) Doug Harwood.
Calibration of SPFs in the HSM, IHSDM, and SafetyAnalyst Doug Harwood Midwest Research Institute.
Center for Risk Management of Engineering Systems University of Virginia, Charlottesville 176 Alternative Database System HSIS (Highway Safety Information.
1 CEE 763 Fall 2011 Topic 3 – Safety Management Process – Other Steps CEE 763.
NCHRP Crash Reduction Factors for Traffic Engineering and ITS Improvements UNC HSRC VHB Ryerson University (Bhagwant and Craig)
Transportation Research Board Planning Applications Conference, May 2007 Given by: Ronald T. Milam, AICP Contributing Analysts: David Stanek, PE Chris.
Fall  Crashes are “independent” and “random” events (probabilistic events)  Estimate a relationship between crashes and covariates (or explanatory.
Highway Safety Analysis: Engineering Kenneth Epstein, P.E. Federal Highway Administration Office of Safety Programs Safety Data and Analysis Tools Workshop.
1 Ian Skinner Crash information Systems Integrating geographical and statistical analysis for maximum benefit.
Impact of Intersection Angle on Safety HSIS Annual Liaison Meeting David Harkey, Bo Lan, Daniel Carter, Raghavan Srinivasan, Anusha Patel Nujjetty May.
MAINE Highway Safety Information System Liaison Meeting Chapel Hill, North Carolina September , 2015 Darryl Belz, P.E. Maine Department of Transportation.
1 THE HIGHWAY SAFETY MANUAL Michael S. Griffith Federal Highway Administration July 26 th, 2004.
Session 2 History How did SPF come into being and why is it here to stay? Geni Bahar, P.E. NAVIGATS Inc.
Role of Safety Performance Functions in the Highway Safety Manual July 29, 2009.
Integrates and automates the transportation safety planning and management Software analysis tools to assist highway agencies to implement their SHSP and.
Evaluating the performance of three different network screening methods for detecting high collision concentration locations using empirical data Prepared.
FHWA: Revision of Thirteen Controlling Criteria for Design; Notice for Request and Comment. Comments Due: December 7, 2015 Jeremy Fletcher, P.E., P.S.M.
The New 2010 Highway Capacity Manual An Overview.
HSM Applications to Suburban/Urban Multilane Intersections Prediction of Crash Frequency for Suburban/Urban Multilane Intersections - Session #9.
LOW COST SAFETY IMPROVEMENTS Practitioner Workshop The Tools – Identification of High Crash Locations – Session #2.
1 The Highway Safety Manual Predictive Methods. 2 New Highway Safety Manual of 2010 ►Methodology is like that for assessing and assuring the adequacy.
SAFETYANALYST Integrates and automates the transportation safety planning and management Software analysis tools to assist highway agencies to implement.
Impact of Intersection Angle on Safety
Highway Safety Improvement Program
Using CMF’s in Benefit/Cost Analysis and Project Prioritization
Using CMFs in Planning for Virginia’s Project Funding Prioritization
Network Screening & Diagnosis
Highway Safety Improvement Program
Clark County, WA Safety Management Program
Presentation transcript:

Role of SPFs in SafetyAnalyst Ray Krammes Federal Highway Administration

FHWA Tools Supporting Implementation of the HSM July 29 and 30, HSM PartSupporting Tool B: Roadway Safety Management Process SafetyAnalyst C: Predictive Methods IHSDM D: Accident Modification Factors CRF/AMF Clearinghouse

Relationship among HSM, SafetyAnalyst and IHSDM July 29 and 30, HSMLevel of Analysis Tool Part B – Roadway Safety Management Process System-Wide (Network-Level) SafetyAnalyst Part C – Predictive Methods Specific Roadway (Project-Level) IHSDM

SafetyAnalyst Analytical tool to support safety management decision making by State and local highway agencies Automates many of the best statistical approaches described in the Highway Safety Manual (Part B) Integrates all parts of the safety management process in a single, modular software package 4 July 29 and 30, 2009

Relationship between the HSM and SafetyAnalyst July 29 and 30, 20095

Use of SPFs in SafetyAnalyst SafetyAnalyst methods are based on expected accident frequency at sites Expected accident frequency at a site is a weighted average of observed and predicted accident frequencies Weights based on Empirical-Bayes methods Predicted accident frequencies are based on SPFs 6

SPFs in SafetyAnalyst Negative Binomial Regression models SPFs for 45 site subtypes: – 17 subtypes of roadway segments – 12 subtypes of intersections – 16 subtypes of ramps Based on HSIS data from 4 States – Default SPFs are a function of ADT only – Developed for Total and F & I accidents – Calibration procedures available to account for local conditions – User-defined SPFs may be input 7

Roadway Segment SPFs in SafetyAnalyst RURAL Two-lane Multilane – undivided – divided Freeways: – Within interchange area 4 lanes 6+ lanes – Between interchanges 4 lanes 6+ lanes URBAN Arterials – Two-lane – Multilane undivided divided – One-way Freeways: – Within interchange area 4 lanes 6 lanes 8+ lanes – Between interchanges 4 lanes 6 lanes 8+ lanes 8

Intersection SPFs in SafetyAnalyst RURAL 3-leg with: – minor-road STOP control – all-way STOP control – signal control 4-leg with: – minor-road STOP control – all-way STOP control – signal control URBAN 3-leg with: – minor-road STOP control – all-way STOP control – signal control 4-leg with: – minor-road STOP control – all-way STOP control – signal control 9

Ramp SPFs in SafetyAnalyst RURAL Diamond – off-ramp – on-ramp Parclo loop – off-ramp – on-ramp Free-flow loop – off-ramp – on-ramp Free-flow outer connection Direct or semidirect connection URBAN Diamond – off-ramp – on-ramp Parclo loop – off-ramp – on-ramp Free-flow loop – off-ramp – on-ramp Free-flow outer connection Direct or semidirect connection 10

SafetyAnalyst Data Requirements Site characteristics (i.e., inventory data) – Roadway segments – Intersections – Ramps Accidents 11

Roadway Segment Inventory Data Segment number Segment location (linkable to accident data) Segment length (mi) Area type (rural/urban) Number of through traffic lanes (by direction) Presence of median (divided/undivided) Direction of travel (for divided highways if each direction is treated as a separate segment) Access control (freeway/nonfreeway) ADT (veh/day) Within interchange area? (freeways only) 12

Intersection Inventory Data Intersection number Intersection location (linkable to accident data) Intersection location data (minor road) Area type (rural/urban) Number of intersection legs Type of traffic control Major-road ADT (veh/day) Minor-road ADT (veh/day) 13

Ramp Inventory Data Ramp number Ramp location (linkable to accident data) Ramp length (mi) Area type (rural/urban) Ramp type (off- ramp/on-ramp/ freeway-to-freeway ramp) Ramp configuration (diamond/loop/etc.) Ramp ADT (veh/day) 14

Accident Data ACCIDENT-LEVEL DATA Accident case number Accident location (linkable to site data) Accident date (day/month/year) Relationship to junction Accident type and manner of collision Accident severity level Roadway segment, intersection, or ramp number Divided highway (side of road indicator) VEHICLE-LEVEL DATA Initial direction of travel Vehicle maneuver/action 15

For More Information about SafetyAnalyst Go to: Contact: – Ray (202) – Vicki (202) 624-XXXX 16

SafetyAnalyst Modules Module 1 – Network Screening Module 2 – Diagnosis and Countermeasure Selection Module 3 – Economic Appraisal and Priority Ranking Module 4 – Countermeasure Evaluation 17

Module 1 – Network Screening Review highway network (or any portion of the network) to identify sites with potential for safety improvement Identify sites that are candidates for further investigation – Identification does not necessarily imply that the site has an existing safety problem or has more accidents than expected 18

Module 1 Types of Network Screening Basic network screening for sites with high accident frequencies (total accidents or specific severity levels or collision types): – with peak searching on roadway segments – with sliding window on roadway segments High proportion of specific accident type Sudden increase in mean accident frequency Steady increase in mean accident frequency Corridor screening (extended roadway sections) 19

20 Module 2 – Diagnosis and Countermeasure Selection Guide user in the diagnosis of safety problems at specific sites Suggest array of countermeasures that address identified accident patterns User selects recommended countermeasures for further economic evaluation in Module 3

21 Module 2 Diagnosis Tools Collision diagrams – Provides simple collision diagram capabilities – Third-party software can be linked Accident summary statistics – Generates table, bar-charts, and/or pie-charts for range of accident data elements Statistical tests – Test for minimum accident frequencies – Test for high proportions of accidents Diagnosis review questions

Module 3 - Economic Appraisal & Priority Ranking Perform economic analysis of alternative countermeasures for a specific site Perform economic analysis of countermeasures across selected sites Develop priority ranking of alternative improvements Select an optimal mix of sites and countermeasures 22

Module 3 Appraisal & Ranking Measures Cost effectiveness EPDO-based cost effectiveness Benefit-cost ratio Net benefits Construction costs Safety benefits Number of total accidents reduced Number of FI accidents reduced Number of FS accidents reduced 23

Module 4 – Countermeasure Evaluation Determine safety effectiveness (percent reduction in crashes) for specific implemented countermeasures Conduct before-after evaluation of crash frequencies using the Empirical Bayes (EB) approach Conduct before-after evaluation of shifts in crash type proportions Reliable results require multiple sites and multiple years of before and after data for each site 24