A Data Model for University-based Traffic Safety Research 29 th International Forum on Traffic Records July 13 - 17, 2003 Zachary Hans, P.E.

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Presentation transcript:

A Data Model for University-based Traffic Safety Research 29 th International Forum on Traffic Records July , 2003 Zachary Hans, P.E.

Overview Introduction Extent of Research Key Components Character of Safety Activities

Introduction CTRE is the focal point for transportation at Iowa State University. Traffic safety activities include – Applied Research – Software development/deployment – Education – Crash data mining and presentation

Extent of Research Begins with crash data collection. Ranges from site specific to system wide. Can be qualitative in nature. Encompasses multiple disciplines.

Key Components Rich, Statewide Crash and Roadway Databases – GIS-based – All public roads – 10 years (crashes) – ~100 attributes (crashes) Analysis Tools Multidisciplinary and interagency cooperation.

Character of Safety Activities Crash Data Collection & Sketch-level Analyses Best Practices & Policy Assessment High Crash Location Identification & Ranking Project & Site Review Targeted Enforcement

Incident Location Tool – Graphic User Interface Map Manipulation Buttons Command Menus Map Window Crash Data Collection Incident Location Tool GIS-based ~220 agencies – ~50% Crashes Drivers Services – Remaining 50% TraCS Utility, used by several states  Improved crash locations, resulting in improved analyses.

Sketch-level Analysis Incident Management & Analysis Tool (IMAT) GIS-based Designed for novice users & simple spatial analyses FREE from Iowa DOT, incl. training  Facilitates quick and easy frequency-based analyses for all user levels.

Best Practices Assessment Evaluate the possible safety-related impacts of different policies and practices (design, traffic control, and maintenance). – Quantify the magnitude of a problem. – Investigate differences in crash history. – Develop guidelines and recommendations.

Access Management 40% Ave Reduction in Crash Rates after Access Management Strong Correlation between Commercial Driveway Density and Crash Density Best Practices

There is a strong correlation between access density and broadside collisions Courtesy of Dave Plazak, CTRE Poor Management Good Management Access Management

Red Light Running Scope, Impact, and Possible Implications Best Practices

Angle Parking …on Iowa’s Low Volume Primary Extensions in Small Towns Findings: No compelling justification for blanket prohibition Parking TypeSitesRate (HMVMT) Rate (MEV) Diagonal, Both Parallel, Both Diagonal, One Parallel & Diag None Best Practices

Accommodating Older Drivers Assessing Older Driver Mobility Issues Best Practices

Development of Guidelines Handbook of Simplified Practice for Traffic Studies Traffic Control Strategies in Work Zones with Edge Dropoffs Traffic Control Devices and Pavement Markings: A Manual for Cities and Counties Best Practices

Policy Assessment Evaluate the possible safety-related impacts of different policies or legislative mandates, such as… – Blood Alcohol Content (BAC) – 0.08 v – In-vehicle restraint requirements – Age, Seating Position

High Crash Location Identification and Ranking What qualifies as a high crash location? How should locations be compared? Identification of high crash locations, given certain criteria

High Crash Location Ranking Evaluation of the Iowa DOT’s Safety Improvement Candidate List Process – Impact of fatalities on ranking – Influence of different weighting frequency, rate, value loss on ranking – Develop a new weighting system

Number of Locations Dropped When Crash Frequency Varied Change in Rank When First Fatality Is Changed to Major Injury Safety Candidate Site Evaluation Impact on Ranking

Systematic Identification of High Crash Locations 1.Horizontal Curves 2.Four-lane, Rural Expressway Intersections 5.Urban, Four-lane Undivided Corridors 3.Fixed Objects 4.Head-on

High Crash Curves Curve length and degree of curvature are significant causal variables. Statewide Average – 1.4/mvm – f=1.9 – $55,000 Loss Top 30 Average – 11.5/mvm – f=9.5 – $490,000 Loss – 5% of crashes (1% of curves) – 11% of all fatalities Worst – 27.4/mvm – f=14 – $960,000 Loss

BEFORE AFTER High Crash Curves: Low Cost Mitigation Improved Signage

Iowa DOT District 1 Rural Two-Lane Primary Road Fatalities and Major Injuries ( ) Disclaimer: The Center for Transportation Research and Education presents these data as preliminary. 20 unlocated injury severities not represented. (0 Fatal, 20 Major Injuries)

Project & Site Review Evaluate the safety-related impact of a project Compare facilities of similar types. Identify locations with specific problems.

Before After Widening

Disclaimer: The Center for Transportation Research and Education presents these data as preliminary. Iowa-141 Fatalities & Major Injuries ( ) (Between I-35/I-80 & Iowa-17) Crash Rate/100 Million VMT: For the Study area ( ) = Statewide Rural Primary ( ) = 122

City of Des Moines 1995 to 1999 Ages 5 to 19 August 15 to June 15 Monday to Friday 7:00 a.m. to 5:00 p.m. School-Age Pedestrian Crashes Middle Schools

Targeted Enforcement Provide law enforcement with corridor crash history to facilitate collaborative enforcement events. Provide law enforcement with locations of specific types of crashes to refine enforcement efforts.

Rural Alcohol- Related Fatal and Major Injury Crashes Rural Alcohol- Related Crashes: Corridors Ranked by Frequency

Other Safety-Related Efforts Iowa Traffic Safety Data Service (ITSDS) – Funded by GTSB and Iowa DOT – Aides agencies in obtaining, mapping, and evaluating crash information. – FY02: 63 requests from 23 agencies Safety Circuit Rider – Provides conferences, workshops, technical advice for traffic safety related topics – 2001: 54 workshop presentations with 1500 participants Law Enforcement Liaison

Review Traffic safety research begins with the data. Key research components are extensive crash and roadway databases, analysis tools and multidisciplinary approach. Research activities range from site specific to system wide analyses and may promote end user interpretation.

Questions? Zachary Hans, P.E Center for Transportation Research and Education Iowa State University 2901 S. Loop Drive, Suite 3100 Ames, Iowa