16th Jan./2019,
Melia/Hotel/Hanoi,/Vietnam

ASEAN%Japan Seminar on/Utilization/of
Mobile/Phone/Big/Data/for/Transport/Planning

1Applying Mobile Data forTransport Planning           

ASEAN&Transport&Ministers&Meeting• The&ASEAN&Traffic&Ministers&Meeting&was&held&24&times&so&far.
• Japan&also&participated&in&this&ASEAN&Transport&Ministers&Meeting,&proposed&various&action&plans&for&improving&traffic,&and&gained&approval.

2

Past&Achievements&of&ASEANBJapan Transport Partnership3• Issued&ASEANBJapan&Transport&Statistics&Book• Objective:&To&establish&and&implement&effective&transport&policies

Information&Platform&for&the&Transport&Statistics• To&establishing&KPIs&and&are&making&efforts&to&build&traffic&statistics• It&is&not&easy&to&calculate&the&KPIs&of&these&traffic&volume.
• It&is&a&situation&that&the&value&deviates&greatly&over&time,&or&data&can&not&be&collected&in&the&first&place• To&explain&the&method&in&Japan,&but&it&is&a&problem&that&it&takes&enormous&cost&and&a&long&time.

4Present&situation&of&traffic&survey&in&Japan
 Questionnaire&on&the&means&of transportation&Distributed&to&1.4&million& Estimation&of&traffic&behavior&model

5

Necessary&expenses:¥1,700 JPY/&person
 some&millions&US$/&1&survey•••

Tremendous&expenses,&long&period
Reduction&of&collecting&rate
Risk&of&lowering&accuracy•

A"new"method"to"replace"questionnaires"is"being discussed"in"Japan"

 Identifying&traffic&congestion&and&checking&statistics&volume

Large

Hanoi&Morning&Traffic&(October&10&2015)

Small

6
movieCan&you&identify&locations&of&traffic&jam&in&your&city?
Do&you&know&many&people&is&exist&these&traffic&jam&area?&

How&to&estimate&traffic&volume&from&statistical&data
TransportStatistics

7

Identify&the&location&of&traffic&congestion
Establish Transport&policy&planningLarge

 Public&transport&planningLRT,&BRT..
 Highway&construction&planning Urban&development&planning Urban&zoning&planning

Small

Present&transport statistics
do not provide sufficient&information&for&planning

8

1

Traffic volume Survey Using
Mobile Big Data

Mobile&Big&Data&:&“Mobile&Spatial&Statistics”

9
movieEstimation&:&Movement&to&Aeon&Mall&Tsukuba
Traveling to Aeon Mall Tsukuba

Note:&Opened&in&2013

Visited by residents of a large area outside the city as well as inthe city during the afternoon

Ninomiya●Yatabe●●Aeon Mall Tsukuba

Hitachinohigashi, Uchiku City●
Sakae-cho, Ushiku City●
Minami, Ushiku City●

1:00 p.m. – 2:00 p.m.
Friday, July 24, 2015

10

11

What&is&“Mobile&Spatial&Statistics”• New&population&statistics&that&can&find&“what&kind&of&person&has&moved&when,&from&where,&and&to&where”
Disasterprevention

Publictransportation

Urban
Planning

Tourism
encouragement

Customer
Information

New population statistics

OPTION&:&Mobile&Big&Data&(1)&CDR&(Call&Detail&Record)         

Data that indicate which BTS
controls mobile phones for callingand communication

Data of call time (communicationvolume) that telecommunication
carriers need to charge fees for calls
and communication to the users

Mobile&phones&are&just&turned&on.
Not&in&the communication&mode 

Data&is&collected&if&mobile&phones&
are in&the communication&mode.

Both are valid as mobile big data

12

OPTION&:&Mobile&Big&Data&(2)&Data&collected&from&APPs

13• Estimate&the&extent&of&road&congestion&from&usage&data&of&applications! A&variety&of&apps&are&already&in&widespread&use&in&many&ASEAN&countries.
! The&number&of&samples&is&small,&but&they&make&trend&identification&possible.

Data&that&can&be&obtained&from&apps

Traffic Jam (8:00-10:00a.m.)Road

Route16

Data&is&collected&when&the&apps&are&used.

Japan

Graph&Legends+50%~&↑+30%~+50%&↑+15%~+30% ↑Relationship&between&operation&data&and&mobile&spatial&statistics&
Operational&dataPersonal&information

NonBidentification&process

Data&without&personal&ID

" Data&with&which&people&can&be&identified! Mr.&Tato&Yamada" Somebody’s&data! Mr.&X

Anonymous&information

Tabulation&process
Estimated&populationNonB
personal&information" Some&group’s&data! Male&in&40’s,&etc.

Concealing&process

Mobile&spatial&statistics" Data&of&a&group&including&a&specific&number&of&peopleStatisticalinformation

14

15

2

Case study ofMobile Big Data in Japan

Case1.&Train&(Traffic&demand&forecasting&of&TX&railway)

16• Open:&2005• 58km&in&length• 45&minutes• 354,000&riders&use&per dayEstimation&for&Transport&Demand&in&TX&line

17

Holiday

Weekday

Traffic"volume"by"meshOct."2016

Comparison&between&estimated&user&number&of&MBD&and&actual&user&number&of&TX• Good&correlation&between&estimation&and&actual&number&is&observed
400

Thousand&user&/&day/300

120#

109#

250

356

350

342

321

350

200
150

230#

212#

100
50
0

Actual&number&&&&Estimated&numberActual&number&&&&Estimated&number


2013

2016

Pass&user&&&
other
##Comparison"between"estimation"and"actual"number(TX"user)
#

#

#

#

18

Case2.&BRT(Bus&Rapid&Transit)&in&Tokyo&Metropolitan&Area

19" ����� ����� ����������� �� ����������� ������� ����� ����" ������� �� ��������� �� � ����� �������� ��������� ��� ������� ���������?
2008������2017����������?

??

2023��������                                           �����������������������������������������������������������������������20

What6is6possible6using6Mobile6Big6Data
Using MobileBig Data������������
����������������
������ODBPattern

Using MobileBig Data������������

����������

������������������������" �� ������ �������� �� �������� ��������� �� ������� ������ �������������� ��� ���� ���������� ��������

It became possible to predicttime-dependent traffic demandby bus stop" ������ �������� ��� ����� ���������������������� ���� ��� ����� ������������ ����� ��� ������ ��������" ���� ������ ����   ����� ���� ������� �� ���� �������� �� ������ �������� ����   �� ������ �����

21

Case&3&AI&Taxi

An example of a taxi operator in Japan(Tokyo)• Travel distance of vehicles forbusiness use in December 2016

Approx. 29,140,000 km
727 trips aroundthe equator• Of the total, how long did the taxi
cabs run with no passengers?

Approx.15,540,000 km
53.3
388 trips withno passengers

22

AI&Taxi&System&and&Achievements
MBD

Operation data of taxis

6,723
yen/day
Average of those
who introduced AItaxi
Overallaverage

Autoregressive/model / deep/learning

Nov.
2016

Dec.
2016

Sales increased 49%
after introducing AI taxi

233

Sample Analysis for
Data of Transerco, Vietnam

24

Sample&analysis&for&sample&data&of&Transerco
��.����������.��.��������.���.�.�����.��.����.��������.��.����������

1. Bus"stops

No.
12
3

2. RouteLine
1111Name"of"bus"stops

Direc
Name"of"Bus"Stopstion
1 (A)&BX&Gia&Lâm&B Tuyến 01
1 549&Nguyễn&Văn&Cừ&(cột&trước)1 Cty&Cầu&5&Thăng&Long&B 307&Nguyễn&Văn&Cừ
1 135&Nguyễn&Văn&Cừ

3. Location•All&bus&on&LineB2&for&1&week

for&monitoring

Short"NameĐối diện KCN&Quang&Minh&(Melinh Palaza)&B Km&
Khu công nghiệp ng&Minh
8+100&Cao&tốc BTLBNB
Nhà máy tấm lợp VitMetalB Km&8+850&Cao&tốc BTLBNB Tổ&7&Thị&Trấn&ng&Minh
Soát vé cao tốc Bắc Thăng Long&B Km&10+230&Cao&tốcTrạm&soát&vé&Bắc&Thăng&Long
BTLBNB

for&Mobile&Apps

No. Longitude Latitude
12
34

105.8785 21.048159
105.88347 21.0497
105.87528 21.04555
105.87045 21.042352

Longitude

Latitude105.78053 21.185933
105.78073 21.192593
105.77978 21.205018

25

Route&MAP
Existing
Route(Excel)
transform/&import

Database(PostGIS)
visualize

GIS(QGIS)
export• Where&is&LineB2?
• Where&am&I&now?
• Vietnamese only…
• Paper&on&a&board…

importGoogleMaps

We&share&the&route&map&during&visits!

Hanoi&Bus&Velocity&(01st&Feburary 2018)

LegendVelocity[km/h]

26
movie27

Delay&analysis

Visualize"velocity"on"mapsand"make"a"movie.

Frequent
Stop(Signal?)
2/1(Thu)&8:00B9:00
LegendHeavyCongestion

Velocity[km/h]

Proposed&A&New&Solutions&For&Transportation&Problem&Using&Mobile&Phone's&Big&Data
At&now,&we&can&know&number&of&bus&user.

28

We&can&know&number&of&person&who&do&not&use&bus&by&future&analysis.

We&can&identify&the&bus&routes&where&traffic&demand&is&lareeMore&effective&and&reasonable&planning&and&design&for&bus&operation&than&ever.

29

Thank you for6your6attention

This&survey&was&conducted&with&support&from&the&Nippon&Foundation.

30

AboutBus

Japan%Transport%and%Tourism%Research%Institute%is&an&independent,&nonBprofit&foundation&established&in&1968&under&the&auspices&of&Japan&Ministry&of&Land,&Infrastructure&and&Transport.&The&Institution&conducts&research&to&contribute&to&the&formulation&and&proposal&of&new&transport&related&policies&for&both&domestic&and&international&societies&from&the&view&point&of&answering&the&needs&of&the&new&socioB
economic&environment&in&and&around&Japan.&The&research&is&based&on&scientific&knowledge&and&approach&while&the&research&projects
undertaken&concern&policy&issues&relevant&to&actual&social&needs.&The&results&of&the&studies&are&intended&to&be&practical&and easily&
understood&by&those&parties&and&individuals&at&the&frontBline&of&transport&administration&and&transport&business.
The%Research%and%Consulting%Office conducts&research&that&forms&the&basis&of&comprehensive&policymaking&aimed&at&tackling&various&transport&problems.&Its&main&activities&revolve&around&research&on&topics&entrusted&to&it&by&the&central&governments,&local&governments,&
and&various&organizations.&The&results&of&its&research&are&applied&as&basic&data&by&the&transport&sector,&general&industrial&sectors,&and&public&offices.&The&Office&also&cooperates&with&research&undertakings&in&various&fields&by&providing&individualized&information&and&resources.

Contact

The%Japan%Transport%and%Tourism%Research%Institute,
The%Research%and%Consulting%OfficeWeb
EBmailhttp://www.jterc.or.jp/eng/index.html
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