Kent içi Yol Güvenliği Yönetimi (Urban Road Safety Management) - Andre Münch - PTV Group - Transist 2014

www.ptvgroup.comwww.ptvgroup.com

Andre Münch

Road Safety Laboratory Seminar

Istanbul 2014-12-19

URBAN ROAD SAFETY

MANAGEMENT

www.ptvgrpoup.com I Page 2A. Muench Road Safety Laboratory EMBARQ workshop Istanbul| 2014-12-19

ROAD SAFETY ACTION FIELDS

User Behaviour

Road Infrastructure

Vehicle

What can cities do?


URBAN ROAD SAFETY MANAGEMENT

Education

EngineeringEnforcement

www.ptvgrpoup.com I Page 4

ROAD INFRASTRUCTURE SAFETY MANAGEMENT

Road Safety

InspectionBlack Spot

Management

(BSM) (RSI)

EU Directive 2008/EC/96


ROAD INFRASTRUCTURE SAFETY MANAGEMENT

Accident Data collection

Road Safety

InspectionBlack Spot

Management

(BSM) (RSI)


ROAD SAFETY IN BU TRAFFIC – PTV VISTAD

WELL KNOW IN GERMANY AS EUSKA – ACCIDENT DATABASE


ACCIDENT DATA WE NEED FOR ROAD SAFETY ANALYSIS

SO

UR

CE

: P

IAR

C R

OA

D A

CC

IDE

NT

IN

VE

ST

IGA

TIO

N

GU

IDE

LIN

ES

FO

R R

OA

D E

NG

INE

ER

S -

Au

gu

st 2

00

7


Traffic Police Saxony, Germany

Police Chief Inspector

Accident report – registration

of statistically accident data


HIS

Police Chief Inspector

Traffic Police Saxony

PTV comment:

This is an example of the police in Saxony Germany.

They are really strong involved in road safety analysis and black spot management!


Accidnet data workflow for analysis


ACCIDENT RECORD IN GERMANY (FEDERAL STANDARD)Kind of collision

Kind of location

(junction,

gradient,etc.)

Traffic light

Speed limit

Daylight?

Road surface

and a lot of others...

Defined by statistic law

in Germany

The guideline provides

also plausibilty checks

for data entry.

SO

UR

CE

: G

erm

an

y D

eS

tatis

Sta

tistisch

es B

un

desam

t, W

iesbad

en 2

00

7:


DATA VALIDATION BASED ON SOFTWARE PTV VISTAD

Characteristics

of crash locationCharacteristics

of crash location


ACCIDENT DATA QUALITY ASSURANCE


ACCIDENT DATA OF GERMANY - A SOLID NATIONAL BASE

> Police authorities of 11 federal states

generate accurate accident data with

PTV Vistad

> Cover 70% of all police recorded

accidents in Germany

> About 1000 users

> 15 years experience with applications

for police authorities

PTV Vistad is well known in Germany

as EUSKA - the accident database

in use (state wide)other or no system


ROAD SAFETY MANAGEMENT – COLLABORATION

BASED ON SOFTWARE SOLUTIONS

Police authorities use their own solutions

e.g. PTV Vistad for accident data

collection, validation as well as reports,

analysis

Road Safety experts

use PTV Visum Safety

advanced analytical tool


In-depth analysis

Identification of black spots

Finding Countermeasures

Evaluation

Automatic detection

Pre-defined tables, stick

diagrams, collision diagrams,...

Additional guidelines with

best practice measures

Comparison of accidents

before and after measure

Black Spot Management


SAFE OR UNSAFE

INTERSECTION?


SAFE OR UNSAFE

INTERSECITON DESIGN?

View point:


SAFE OR

UNSAFE



SAFE OR

UNSAFE


24 crashes in one year


12 crashes with injuries in 3 years

3 severity injuried

9 slightly injuried


SAFE OR UNSAFE

INTERSECTION?


NETWORK SAFETY MANAGEMENT

Network analysis

Show accident density:

„Accidents per year per km“

Show accident rate:

„Accidents per mio. vehicles per km“

List these figures and sort them to

find the worst roads in your network


2424

NETWORK SAFETY MANAGEMENT:

WHAT DOES SAFETY POTENTIAL TELL ME ABOUT

MY ROAD NETWORK?

More than

50 % of avoidable accident costs

occur on only

10% of the road network!

Source: GDV, Germany

Sourc

e:

Kers

tin

Lem

ke B

AS

t, G

erm

any,

2006


PTV VISUM SAFETY COVERS ALL LEVELS

RURAL URBAN

MIC

RO

SC

OP

ICM

AC

RO

SC

OP

IC

BS

MN

SM


ADMINISTRATIONAL LEVELS OF SAFETY MANAGEMENT

Transportation Masterplan

Network Safety Management

Road Safety Impact AssessmentSTRATEGIC

MANAGING

OPERATIONAL

Planning

Authority

Traffic

Management

Control Center

Road

Administration

Transportation Planning

Traffic Management

Accident Prediction Modelling

Traffic Engineering

Traffic Simulation


Safe and sustainable

road networks






MANAGING

OPERATIONAL

Planning

Authority

Traffic

Management

Control Center

Road

Administration


Traffic Management


Traffic Engineering

Traffic Simulation



road networks


SPEED MANAGEMENT IN CITIES

Autor I Thema I Datum (Eingabe per "Einfügen > Kopf- und Fußzeile")


ACCIDENTS WITH INJURIES DENSITY AND SPEED

0

1

2

3

4

5

40 42 44 46 48 50 52 54 56 58 60

UD

(P)

[U/km*a]

vm [km/h]

Refer to ADT = 15.000 veh/day

High commercialenvironment

Low commercialenvironment

So

urc

e S

ch

ue

ller,

H. 2

011

Mo

de

ling

sp

ee

ds

and

accid

en

tso

n u

rba

n s

tre

ets

Acc

den

sity

[Acc/k

m*a

]

Speed m [km/h]


SPEEDING BEHAVIOUR AT CRASH SITES

Example: crashes with cyclists and speeds on CS2






MANAGING

OPERATIONAL

Planning

Authority

Traffic

Management

Control Center

Road

Administration


Traffic Management


Traffic Engineering

Traffic Simulation



road networks


STRASBOURG, PROJECT PONT KUSS

Old City Center

Main Station

Petite France

Bridge

Pont Kuss


STRASBOURG, PONT KUSS



PT

Vehicles• Incl.cyclists

Cyclists



Initial Analysis

2 x 2 m walkway

for 1850 ped/h

vs.

7 m road

for 250 veh/h



Initial Analysis



Re Design intersection and bridge Pont Kuss

Current new



Results: Animation [Used for Public Information]

This video at http://youtu.be/YzPYwfHe0VU

http://youtu.be/YzPYwfHe0VU






MANAGING

OPERATIONAL

Planning

Authority

Traffic

Management

Control Center

Road

Administration


Traffic Management


Traffic Engineering

Traffic Simulation



road networks


S

t

a

ROAD SAFETY IMPACT ASSESSMENT (RIA) AND

ACCIDENT PREDICTION MODELS (APM)

Standardized valuation method for comparing newly planned alternative schemes

Estimations of e.g. accident cost rates for different types of infrastructure (nodes and links)

Cost-benefit-analysis of new constructions or reconstructions

Accident costs in Euro

per 1000 vehicle (km)

Refe

rence: M

ee

we

s, E

ckste

in, 2

00

2


ACCIDENT PREDICTION MODELS

Setting up a prediction model

Configurable definition of the

model including road types

Road types can be set and

visualized easily

Aggregating nodes to main

nodes may be necessary


ACCIDENT PREDICTION MODELS

Applying a prediction model

Accident counts, densities and

rates are predicted for links,

nodes and main nodes

Results can be used for visual

or tabular output


EVALUATION OF RESULTS

Comparing results

Compare total

expected accident

count and cost for

different scenarios

Compare two

scenarios visually


?

Urbanization

Accessibility&

affordabilityof transport

services

Motorization

Congestion

Climatechange &

GHG, pollution,

noise

Insufficientroad safety

THE TRANSPORTATION CHALLENGES

OF TODAY AND TOMORROW


?

Urbanization

Accessibility&

affordabilityof transport

services

Motorization

Congestion

Climatechange &

GHG, pollution,

noise

Insufficientroad safety


AND THE TRANSPORT DESCIPLINES

Transportation Network


Public Transport

Traffic Engineering

Traffic Management

Reduction ofGHG, Noise,

Pollution

Road SafetyManagement



AND THE PTV SOLUTIONS

Transportation Network


Public Transport

Traffic Engineering

Traffic Management


Pollution

Road SafetyManagement

Transportation Network /

Model

PTV Visum

PTV Visum for Public Transport

PTV Vissim, PTV Vistro

PTV Optima,PTV Balance

Emission factors & models

PTV Safety


Transportation Network /

Model


Public Transport

Traffic Engineering

Traffic Management


Pollution

Road Safety

ROAD SAFETY IS NOT AN ISOLATED ISSUE

THE INTEGRATIVE APPROACH MAKES IT STRONGER


YOUR CONTACT DATA FOR ROAD SAFETY

Münch, Andre

Director Traffic Safety

Traffic Software

PTV GROUP

PTV AG Karlsruhe

Haid- u. Neu Straße 15

76131 Karlsruhe

Germany

Phone: +49 721 9651-578

E-Mail: [email protected]

[email protected]

safety.ptvgroup.com

www.ptvgroup.com

mailto:[email protected]

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