big data: exploring final frontier in traffic data. kecri_dr. seong... · control box inductive...
TRANSCRIPT
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Big Data : Exploring Final Frontier in Traffic Data
June 1. 2017
Seong Namkoong Research Fellow
Korea Expressway Corporation Research Institute
+82-31-8098-6341
[email protected] (secondary)
UNESCAP
Forum on Innovative Data Approaches to SDGs
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100 years ago
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1920s
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50 years ago
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Source: http://www.bcpark.net/bbs/207728
50,000 Automobile Registration
Number on 1966
1960s
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Source : http://expressway.tistory.com
2000s
420 fold increase
in half a century
21,000,000 Automobile Registration
Number on 2016
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Source : http://joongang.co.kr/
Various traffic situations
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1993
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2007
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For now…
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Various sources of traffic related data
Handhall
(Expressw
ay)
Control Box
Inductive
Loop
Detector
Piezo
Detect
or
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Data Innovation
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Individualized
Aggregated
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In-vehicle devices
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Hi-Pass Traffic Information System
Travel time between
stations (path, section)
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Smart Tolling
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Speed Enforcement Bus Dedicated Lane
Enforcement
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CCTV camera
Video Image
Vehicle Detection System
Video Image
Vehicle Detection Camera
Traffic Signal Violation
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Smart era
LTE Subscribers : 46M (88.4%)
Total population : 52M, October, 2015
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Source: http://www.100mirror.com/1146
Smartphone car navigation system
Probe Car based
traffic information
services
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Smart fare card
Bus stop OD
Mode ID
Distance
Number of transfer
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Individualized Traffic Data enables
combining of traffic data
and associated DBs.
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Examples
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Combining Socio-economic activities
with traffic data
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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.
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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
+
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Combining Vehicle Registration DB
with traffic data
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AVC : Automatic Vehicle Classification
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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
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Vehicle classification using vehicle registration information
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Combining telecommunication data
with traffic data
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Telecommunication data
Source : International Seminar on Transportation Big-data Service, Korea Transportation
Safety Authority / Korean Society of ITS, June 1 2017.
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Conclusion
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Existing traffic data shows just the phenomenon of movement.
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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
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Exploring Final Frontier
Individualized traffic data
Associated Data
Big Data