• No results found

Road Accident Data Collection and Management System in Korea

N/A
N/A
Protected

Academic year: 2021

Share "Road Accident Data Collection and Management System in Korea"

Copied!
50
0
0

Loading.... (view fulltext now)

Full text

(1)

Road Accident Data Collection and

Management System in Korea

Dr. Jaehoon SUL

Dr. Lyoong OH

1. Traffic Cop Accident Information System

(TCS)

Road Accident Data Collection and

Management System in Korea

(2)

Road Accident Data Collection and

Management System in Korea

CONTENTS

1.Traffic Cop Information Management System

(TCS)

2. Traffic Accident Analysis System

(TAAS)

3. Transport Safety Information Management

(3)

2

2

1. Traffic Cop Information Management System

(4)

1. System Overview

‘TCS’ is managed by National Police Agency

(old name ‘TAMS’ ).

TCS is composed of following 8 sub-systems.

1. Driving License System

2. Driver Penalty Point System 3. Traffic Enforcement System 4. Road Accident System

5. Driving School System 6. Road Repairing System 7. Statistics System

(5)

4

4

1. System Overview

Criminal Information System

Crime DB

Driving License Penalty Point System

Point DB General People Accident Data Input Accident Data Input Accident Analysis Accident Analysis Road Accident Register Road Accident Register Statistics Statistics GIS Input / Analysis GIS Input / Analysis

Road Accident Information System

The function of road accident sub-system is as follows:

1. Input of Road Accident Data 2. Linking and Checking with Related System 3. Analysis of Road Accident Data 4. Statistics and Documentation

(6)
(7)

6

6

(8)
(9)

8

8

(10)
(11)

10

10

(12)

8. Input of Other Related Data

(13)

12

12

(14)
(15)

14

14

(16)
(17)

16

16

(18)
(19)

18

18

15. Road Accident Site Map and Accident Diagram

실 작성도면 (견본)

(20)
(21)

20

20

(22)
(23)

22

22

(24)

2. Traffic Accident Analysis System

(TAAS)

(25)

24

¾

¾ To To integrate all accident data from each organization

¾ To manage the accident data by reliable public authority ¾ Systemic sharing of the accident data

1. Introduction

(1) Objectives

(26)

25

(2) Components & Diagram

- The System components

TAAS (Traffic Accident Analysis System) web-based system

-- Web service system based on traffic accident DB Web service system based on traffic accident DB

• Integrate traffic accident DB between Police, Insurance companies, and Mutual aid associations

∙ Dualistic Components with Police DB Accident data reported from police

-- The functions of AnalysisThe functions of Analysis

• Statistical search of traffic accident based on R-OLAP • Spatial analysis of traffic accident based on GIS

-- The name of the web site and the web addressThe name of the web site and the web address

• Traffic Accident Analysis System (TAAS)

(27)

26

(2) Components & Diagram

- The System Diagram

TAAS (Traffic Accident Analysis System) Web-based system

Spatial Analysis System Integrated

Data

C/S-based System

Data Collection System

Standard Format Data refine, integrating

Statistical Analysis System

Statistical Analysis using R-OLAP

Web-service System

Data sharing on the internet

Basic function of GIS Displaying on the map In-depth Analysis Management the accidents

Basic function of GIS In-depth Analysis Displaying on the map

(28)

27

(3) Integrated data for 2010

Category accidentsInjury

Casualties

killed

Injured

Sub total Seriously Slightly Reporting-only Police 226,878(23.2%) 5,505(100%) 352,458(23.0%) 116,902(64.2%) 223,665(21.5%) 11,891(3.8%) Insurance companies 698,283(71.3%) 0 1,099,596(71.7%) 52,817(29.0%) 768,694(73.8%) 278,085(89.6%) Mutual aid associations 54,146( 5.5%) 0 81,555(5.3%) 12,255( 6.7%) 48,799(4.7%) 20,501(6.6%) Total 979,307(100%) 5,505(100%) 1,533,609(100%) 181,974(100%) 1,041,158(100%) 310,477(100%)

9 killed : who killed within 30 days as result of an injury accident

9 seriously injured: who needs a medical treatment for a period of more than 3 weeks

9 slightly injured: who needs a medical treatment for a period of more than 5 days and less than 3 weeks 9 reporting-only injured: who needs a medical treatment for a period of less than 5 days

(29)

28

2. Statistical Analysis System

¾ Road Traffic Situation Statistics (20 subdirectories)

- Population, Vehicle, Length of the road, Licensed drivers, and so on - Traffic safety index

traffic safety index, the cost of traffic accident, and so on

¾ Police DB (201 subdirectories)

- Trends of traffic accident, Search traffic accident statistics,

The basic traffic safety plan, The traffic accident statistic of OECD members

¾ Integrated DB (314 subdirectories)

- Search traffic accident statistics, traffic accident statistics by region, The basic traffic safety plan, and so on

(30)

29

(1) Main Contents

¾ Zoom of traffic accident statistics

- Road traffic accidents Status

• Total traffic accident status, serious accident, Fatality accident, drunk driving accident, woman driving accident, child’s accident,

accident in child safety area, senior’s accident, senior driving accident and so on

- The rate of accident by region

• Fatality per 10 thousand cars, Fatality per 100 thousand people, Fatality per 10 kilometer of road, and so on

- The traffic safety index by region

• The traffic accident safety index by local governments

- The traffic accident status of OECD members

(31)

30

(32)

31

(33)

32

(34)

33

3. GIS Spatial Analysis System

¾ Basic Menu

- Map Search, Search examples of serious traffic accident, Search fatality accident, Search individual accident

¾ The function of general analysis

- search traffic accident by region, search traffic accident by police station units, search traffic accident by route, Prone area of traffic accidents (pedestrians jaywalk accidents)

¾ The function of In-Depth Analysis (spatial analysis)

- radius analysis, square analysis, polygon analysis

¾ The function of In-Depth Analysis (the analysis of prone area of the

traffic accidents)

- Prone area of traffic accidents, Investigate for cause of traffic accident

(35)

34

(2) Service Type

- GIS Accidents Theme

(36)

35

(2) Service Type

- GIS Search examples traffic accidents

(37)

36

(2) Service Type

- GIS Search Traffic accidents by region

(38)

37

(2) Service Type

- GIS Search individual accident

(39)

38

(2) Service Type

- GIS traffic accident-Prone areas

(40)

3. Transport Safety Information Management

Complex System (TMACS)

(41)

☞ Institutional Barriers

ƒ having no access to public assets like accident data, ƒ having no integrated safety data,

ƒ being separable in constructing and operating traffic facilities ƒ all that lead to ineffective traffic safety and investment plan

☞ Data Unreliability

ƒ accident data too short for road safety engineering

ƒ unreliable due to disparity between police and insurance

39/47

1. Background

‘TMACSTMACS’’ is managed by is managed by KOTSA(KoreaKOTSA(Korea Transport Safety Authority) under Ministry of Transport Safety Authority) under Ministry of Land and Transport.

(42)

Transport Companies Transport Guild Seoul TOPIS Expressway Corporation Local Authorities Insurance Association Meteorological Administration Transport Institute Police TAMS

?

Hospital/ Clinic

?

TMACS

?

2. System Overview

(43)

41/47 Diverse Accident Reports (35 Indicators) Transport Company Management Data Tachometer Data Vehicle Registration Vehicle Inspection Vehicle Performance

Road Environment Road Facilities Regulations Project Evaluations Demography/Topography Correction Norm Batch Transfer Refining Loading Extraction

Data Collection Processing/Refinement Integration

Accident DB Company DB Vehicle DB Road DB Driver DB Investigation DB Traffic Accident Information Road Safety Information

2. System Overview

(44)

3. Applications

Hot-Spots(Black-spots) Accident Map

Scheme Options Investment Plan

(45)

Accident Sketch

3. Applications

(46)
(47)

4. Services

Main Display of Provided Services

(48)

Government

Local Authorities

Research Institute

Institute

University

Provide raw data for fact-finding, modeling of phenomena

National Road and Traffi Safety Plan

Provide Raw Data

Criteria to Evaluate Polic Performance

Transport Companies

Indication of safety strategies and measures

Provide back data for local traffic safety plan

National Road Agencies Special Greater Cities Cities, Counties, Wards Provide ID (power user)

Data mining as needed Support collision diagram Offer GIS coordinates

Notifying hot-stretches Releasing accident map Publishing risk road ratings

Related Agencies

Integrate all safety data Local accident investigation

MLIT TMACS Others Road Agencies Drivers Vehicle Manufacturer Insurance Association Transport Guild Expressway Corporation Meteorological Administration MOSPA

(49)

When it comes to severe accidents on roads, local authorities which are installing, supervising road and traffic facilities are obliged to make a scrutiny into factors whether it being caused by deficits of facilities, lack of safety equipments like road markings, signs, signals etc.

Local authorities which are obliged to make a local accident investigation ought to submit the results to TMACS for means of sharing and disseminating experiences with other agencies.

Local authorities have to qualify safety projects thoroughly from planning, over determination, legislation to execution.

All safety related agencies including local police have to prevent deterrents in cooperation,

coordination, organization, communication in terms of sharing safety information whatever it might be.

All safety related agencies should not monopolize public assets like accident data and make sure end-users have an easy access to data extensively.

Local authorities have to appraise projects thoroughly after investment in terms of safety savings which is to help make a more efficient safety plan for next projected period.

6. Summary

(50)

NPA

NPA (National Police Agency), (National Police Agency),

KoROAD

KoROAD (Korea Road Authority) (Korea Road Authority)

KOTSA

References

Related documents

This UK study explored the processes and outcomes of a mentoring project that involved year 10 (Y10) mentors from a large secondary school mentoring Year six (Y6) pupils in

La Food and Drug Administration (FDA) aprobó en junio del 2016 el uso de un test de PCR cuantitativa (cobas EGFR Mutation Test v2, Roche) para la detección de mutaciones de

The growing interest in biofuels and the sugar industry ’ s requirements for high quality land and water resources have made sugar central to recent debates around land and water

4 oz grilled chicken 2 Tbs chopped green onion 2 Tbs dried cranberries 1 Tbs pine nuts 1 Tbs slivered almonds Slimdown Smoothie 1 scoop Perfect Fit Protein ½ cup unsweetened almond

Country of residence Number of registered voters Estimated total Mexican population (incl... appears  as  an  interesting

For example, Group 2 had already established the use of blogs within school prior to their tablet implementation and so were already used to using digital technologies to share their

If a customer is being provided with an electronic copy of his or her insurance policy that is contained on a CD, the agency should be sure to send or hand deliver that CD along

Diet composition of the Little Blue Heron Egretta caerulea (Linnaeus, 1758) during the breeding season in the colony of Marinheiros Island, Patos Lagoon estuary, state of Rio