Big Data : Exploring Final Frontier in Traffic Data

June 1. 2017

Seong Namkoong Research Fellow

Korea Expressway Corporation Research Institute

+82-31-8098-6341

jake@ex.co.kr

jakenamkoong@gmail.com (secondary)

UNESCAP

Forum on Innovative Data Approaches to SDGs

100 years ago

1920s

50 years ago

Source: http://www.bcpark.net/bbs/207728

50,000 Automobile Registration

Number on 1966

1960s

Source : http://expressway.tistory.com

2000s

420 fold increase

in half a century

21,000,000 Automobile Registration

Number on 2016

Source : http://joongang.co.kr/

Various traffic situations

1993

2007

For now…

Various sources of traffic related data

Handhall

(Expressw

ay)

Control Box

Inductive

Loop

Detector

Piezo

Detect

or

Data Innovation

Individualized

Aggregated

In-vehicle devices

Hi-Pass Traffic Information System

Travel time between

stations (path, section)

Smart Tolling

Speed Enforcement Bus Dedicated Lane

Enforcement

CCTV camera

Video Image

Vehicle Detection System

Video Image

Vehicle Detection Camera

Traffic Signal Violation

Smart era

LTE Subscribers : 46M (88.4%)

Total population : 52M, October, 2015

Source: http://www.100mirror.com/1146

Smartphone car navigation system

Probe Car based

traffic information

services

Smart fare card

Bus stop OD

Mode ID

Distance

Number of transfer

Individualized Traffic Data enables

combining of traffic data

and associated DBs.

Examples

Combining Socio-economic activities

with traffic data

SEGi : Socio Economic Geographical Index

It divides the area into several blocks and provides

the statistics for each block.

Socioeconomic

activities of

people can be

converted to

SEGi data and

then combined

with existing

traffic data.

Individualized traffic data can be linked to the associated

databases.

Other socio-economic activity data

SEGi

Socio Economic Geographical Index

Indiv

idualized

traffic data

I

Traffic related data

Driver Profiling

+

Combining Vehicle Registration DB

with traffic data

AVC : Automatic Vehicle Classification

Model :

Grand Starex Gray

Classified vehicle type

Vehicle classification using vehicle registration information

Vehicle

Video Image Detector

Vehicle Specification DB

Video image (Front/rear)

License plate Number

Vehicle classification using vehicle registration information

Combining telecommunication data

with traffic data

Telecommunication data

Source : International Seminar on Transportation Big-data Service, Korea Transportation

Safety Authority / Korean Society of ITS, June 1 2017.

Conclusion

Existing traffic data shows just the phenomenon of movement.

WHAT Passenger, Freight

HOW Car, Bus, Truck,

Flight, Boat, etc.

WHEN Departure & Arri-

val time, etc.

WHERE Origin & Destina-

tion, etc.

WHO ?

WHY ?

We could know WHO and WHY in mobility

Exploring Final Frontier

Individualized traffic data

Associated Data

Big Data