Portorož, Slovenia Pavement prediction performance models and relation with traffic fatalities and injuries Dr Veronique CerezoDr Veronique Cerezo CETE.

Slides:

Advertisements

Similar presentations

Speed-Flow & Flow-Delay Models Marwan AL-Azzawi Project Goals To develop mathematical functions to improve traffic assignment To simulate the effects.

Advertisements

Developing an Objective Measure for Flushing on Chipseals Dave Whitehead – Senior Asset Manager NZTA National Office.

DI V AS ANR Safe Highways of the Future, February 2008, Brussels, Belgium, Improving the Credibility of, and Compliance with, Speed Limits: a.

Probabilistic Models of Motorcyclists' Injury Severities in Single- and Multi-vehicle Crashes Peter T. Savolainen, Ph.D. Wayne State University Fred Mannering,

ROAD TRAFFIC ACCIDENTS & SAFETY DR.WAQAR ALI 1. FACTS 2.

SWOV Cambodia National Road Safety Action Plan National Targets and Performance Indicators.

ESTONIAN ROAD ADMINISTRATION Pärnu mnt. 463a Tallinn, Estonia Tel (0) Fax (0)

Presentation of the Project „ Preparation of ceasing of dangerous junctions Zoltán Jákli KÖZOP Head of Completition Department Magyar Közút NZrt.

Jim Sherwood, U. S. Federal Highway Administration, Turner Fairbank Highway Research Center, Infrastructure Research and Development Roya Amjadi, U. S.

Analysis and Multi-Level Modeling of Truck Freight Demand Huili Wang, Kitae Jang, Ching-Yao Chan California PATH, University of California at Berkeley.

Inter-group differences in road-traffic crash involvement Accident Analysis and Prevention 40 (2008) 2000–2007.

Study on applying MODIS image into drought indicator analysis in Taiwan Yuh-Lurng Chung, Chaur-Tzuhn Chen Chen-Ni Hsi, Shih-Ming Liu Yuh-Lurng.

CONNECTIVITY “The connectivity of a network may be defined as the degree of completeness of the links between nodes” (Robinson and Bamford, 1978).

Accident simulation and analysis using Vehicle Infrastructure Interaction Simulation Stephan Kunz Young Researchers Seminar 2009 Torino, Italy, 3 to 5.

Spring INTRODUCTION There exists a lot of methods used for identifying high risk locations or sites that experience more crashes than one would.

PERFORMANCE MODELS Lecture 16. Understand use of performance models Identify common modeling approaches Understand methods for evaluating reliability.

Monotony of road environment and driver fatigue: a simulator study Anil Divvela Kenny Stauffer.

How to Crawl the Web Junghoo Cho Hector Garcia-Molina Stanford University.

Calculating and Interpreting the Correlation Coefficient ~adapted from walch education.

Portorož, Slovenia MARVin–Model for Assessing Risks of Road Infrastructure DI Peter SalehDI Peter Saleh arsenal researcharsenal research Project managerProject.

TISPOL STRIDER seminar “Traffic safety aspects in Latvia” Deputy Head of State Police, Head of Central Public Order Department Artis Velšs 21/04/2015.

Evaluating the Effectiveness of the Safety Investment Program (SIP) Policies for Oregon Literature Review Findings.

Portorož, Slovenia Laboratory test method for the prediction of the evolution of road skid-resistance with traffic Minh-Tan DoMinh-Tan Do LCPCLCPC Research.

W.D.M. Limited North View, Staple Hill, Bristol BS16 4NX Telephone: Web: London wide skid policy November 2009 Martin Sachs,

Evaluation of Alternative Methods for Identifying High Collision Concentration Locations Raghavan Srinivasan 1 Craig Lyon 2 Bhagwant Persaud 2 Carol Martell.

Transport ROAD SAFETY: Towards a European Road Safety Area: Policy orientations on road safety

A PRIORITISATION SCHEME FOR THE SAFETY MANAGEMENT OF CURVES Presented by: Neil Jamieson Research Leader, Tyre-Road Interactions Opus Central Laboratories.

Using the Regression Line Model to Make Predictions Scatter Plot Review.

Patterns of Event Causality Suggest More Effective Corrective Actions Abstract: The Occurrence Reporting and Processing System (ORPS) has used a consistent.

SIRWEC 2010: 15th International Road Weather Conference Quebec City Convention Center, 5-7 February 2010, ROADIDEA Session (Topic R) The Effects.

2007/2/1 CMSC734 Assignment #1 Static Display for Data Presentation Leading Causes of Death Morimichi Nishigaki

Overview of the FHWA Pavement Friction Management Program Virginia Polytechnic Institute and State University Charles E. Via Jr. Department of Civil Engineering.

23e Congrès mondial de la Route - Paris 2007 Network Safety Management – From Case Study to Application François GANNEAU Roads and Motorways Engineering.

Seasonal Influence on Skid Resistance and Equipment Calibration Presented by Author: G Mackey Co-Authors: D Poli and D Holloway #

Highway accident severities and the mixed logit model: An exploratory analysis John Milton, Venky Shankar, Fred Mannering.

Portorož, Slovenia Pavement management system on a French toll network Cécile GiacobiCécile Giacobi ASFASF Pavement expertPavement expert

An Evaluation of the Economics of NZ’s Skid Resistance Policy David Cook Highways & Network Operations NZTA.

HD28/11 UK Skid Resistance Standard. HD28 Team Ramesh Sinhal - HA Louise Caldwell - HA Helen Viner – TRL Stuart Brittain – TRL John Donbavand - WDM.

CMTPL insurance market in Azerbaijan: current trends, bonus-malus system, problems, claims, expectations AIIF Azerbaijan International Insurance.

User perceptions of highway roughness Kevan Shafizadeh and Fred Mannering.

PERFORMANCE MODELS. Understand use of performance models Identify common modeling approaches Understand methods for evaluating reliability Describe requirements.

TYROSAFE Tyre and Road Surface Optimisation for Skid Resistance and Further Effects Karen Scharnigg BASt (Federal Highway Research Institute) 3rd International.

CHAPTER curve fitting with linear functions.

Texting and Driving Statistics.

User perceptions of highway roughness

Exponential Functions. When do we use them? Exponential functions are best used for population, interest, growth/decay and other changes that involve.

Scatter Plots. Scatter plots are used when data from an experiment or test have a wide range of values. You do not connect the points in a scatter plot,

Driving Simulator Validation for Speed Research Stuart T. Godley, Thomas J. Triggs, Brian N. Fildes Presented By: Ben Block Wen Lung Hii.

Session 2 History How did SPF come into being and why is it here to stay? Geni Bahar, P.E. NAVIGATS Inc.

ENVIRONMENTAL AGENCY OF THE REPUBLIC OF SLOVENIA COST benchmark dataset homogenisation: issues and remarks of the “Slovenian team” Presentation.

Chapter 2.4 Paired Data and Scatter Plots. Scatter Plots A scatter plot is a graph of ordered pairs of data values that is used to determine if a relationship.

Road Accident Investigation Teams in Finland Jaakko Rahja Managing Director, M.Sc.

May 2016 Prevalence of Marijuana Involvement in Fatal Crashes: Washington

CERTAIN workshop Kapitanivka CDV - Transport Research Centre (Czech Republic) Division of Infrastructure and Environment Dr. Josef Stryk Ass.

Jiangbi Hu, Transportation Research Center, Department of Civil Engineering,Beijing University of Technology, China A QUANTITATIVE MODEL OF ROAD-SURFACE.

3rd International Road Surface Friction Conference

APPLICATIONS OF POISSON AND CHI-SQUARED (χ 2 ) DISTRIBUTION FOR COMPARATIVE ANALYSIS OF ACCIDENT FREQUENCIES ON HIGHWAYS Dr. S.S. Valunjkar Prof. P. M.

Collisions on our Road Network NRA HD 15 Network Safety Ranking Forbes Vigors Project Manager Road Safety National Roads Authority

1 Address: UIC Safety Database (SDB) System and Results.

DETECTION AND ASSESSMENT OF SAFETY PROBLEMS WITHIN ROAD TRANSPORT DECISION MAKING Prof. Dr. Nikolay Georgiev eng. Violina Velyova ‘Todor Kableshkov’ University.

An Exploration of Water Poverty in Lao People’s Democratic Republic Marko Kallio ProGIS Seminaari 8 November 2016.

Isabelle Laplace (ENAC), Chantal Roucolle (ENAC), Aliya Ussinova (TSE)

Do SKU and Network Complexity Drive Inventory Levels?

ANALYSIS OF TEMPERATURE INFLUENCE ON SKID RESULTS

Number of Kilometers Driven 1987 to 1999

Network Screening & Diagnosis

Jan Horálek (CHMI) Peter de Smet, Frank de Leeuw (RIVM),

Section 1.4 Curve Fitting with Linear Models

Load forecasting Prepared by N.CHATHRU.

An evaluation of the effects of lowering blood alcohol concentration limits for drivers on the rates of road traffic accidents & alcohol consumption A.

Presentation transcript:

Portorož, Slovenia Pavement prediction performance models and relation with traffic fatalities and injuries Dr Veronique CerezoDr Veronique Cerezo CETE of Lyon – Research team n°12 (LCPC)CETE of Lyon – Research team n°12 (LCPC) ResearcherResearcher

Portorož, Slovenia Table of content oContext of the study and objectives oMethodology oEvolution laws oLink with accidents oNext steps

Portorož, Slovenia Context of the study oFrench road management policy = regular measurements of road characteristics  lot of data available oA part of accidents are due to infrastructure characteristics (skid resistance, geometry…)  correlations?  threshold values?

Portorož, Slovenia Objectives oDetermining evolution laws  predict road skid resistance evolution with time  increase management efficiency oCorrelations with accidents  detect threshold values of skid resistance How to do that?

Portorož, Slovenia Methodology oExtensive literature review oCreation of a database roads with traffic > veh./day 5 types of pavement surfaces  500 km (path = 20 m) SFC and MPD Geometry (radius…) Accidents data (2000 – 2006)

Portorož, Slovenia Methodology SFCMPD

Portorož, Slovenia Methodology oStatistical analysis and correlations SFC evolution laws depending on age and traffic Inclusion of geometry in the analysis Comparison with accidents occurrence oNext steps to complete the study

Portorož, Slovenia Evolution laws (1) oGlobal analysis and analysis for each pavement type oNon-linear regressions depending on: Age (months) Total Traffic (TT = 30*ADT*AGE) NE (equivalent axles 13t = 365*TRA*AGE*CAM) oGlobal decrease of SFC with a logarithmic shape of the curves

Portorož, Slovenia Evolution laws (2) oCoefficients of regression variable (0,09 – 0,50)

Portorož, Slovenia Evolution laws (3) oImportant seasonal effects  corrections? Roads of the database covers a wide area Lack of reference surfaces  way of improvement o Geometry included: straight lines / curves Data merged by considering classes of radius (0-150 m, m, m, > 600 m) Classes chosen with safety studies

Portorož, Slovenia Evolution laws (4) oSimilar work  similar results with geometry Global decrease of SFC with a logarithmic shape of the curves in straight lines and in curves Coefficients of regression weak  is the test tracks the same in curves (especially with low radius of curvature)?  is SFC adapted to analysis in straight lines?

Portorož, Slovenia Link with accidents (1) oAccident rate: number of accidents per year for 10 8 vehicles.km on an itinerary Wet surfaces considered oSFC values grouped in classes of 0.10 SFC units oRadius grouped in classes of 100 m units

Portorož, Slovenia Link with accidents (2) oSome correlations Threshold value for SFC = 0,5 Rural roads Average daily traffic around veh./day

Portorož, Slovenia Link with accidents (2) oSpecial results… Rural roads Average daily traffic > veh./day  accidents are mainly due to human behaviour ???

Portorož, Slovenia Concluding remarks oFirst part of the study presented in SURF 2008 oNext steps: Increase the database size with roads having traffic < veh./day References surfaces: seasonal effects corrections More complex statistical methods Use other safety indicators (accidents on wet surfaces compare to accidents on dry surfaces…)

Portorož, Slovenia THANK YOU FOR YOUR ATTENTION…