Our Activities in Smart Mobility Field - GNSS ASIAjapan.gnss.asia/sites/default/files/up_img/6.NTTDATA.pdf · Mobile big data analysis NTT DoCoMo offers a service of providing mobile

Copyright © 2015 NTT DATA Corporation

June 2016 NTT Data Corp.

Naoki ISO

Our Activities in Smart Mobility Field

2Copyright © 2015 NTT DATA Corporation

Our Activities in Smart Mobility Field

１．Introduction of NTTDATA Corporation

２．Traffic lights/lane Control System

３．Seamless Indoor/Outdoor Positioning System

４．Expansion plan of our solution

Agenda


NTT Group

Total Asset：¥20.7024 trillion

Operating Revenues：¥11.0953 trillion

Number of Employees：241,600

Number of Consolidated Subsidiaries：917

(AS of Mar. 31, 2015)

NIPPON TELEGRAPH AND

TELEPHONE CORPORATION

(Holding Company)

※ 【】 NTT's Voting Rights Ratio （as of Mar. 31, 2015)


TELEPHONE WEST

CORPORATION

【100%】


TELEPHONE EAST

CORPORATION

【 100% 】

NTT Communications Corporation

【100%】

Dimension Data Holdings plc.

【100%】

NTT DOCOMO, INC.

【63.3%】

NTT DATA CORPORATION

【54.2%】

Managed ICT / Data center Network

Software (Application Layer)・Planning management strategies for the

NTT Group

・Encouraging fundamental R&D efforts

Tele

com

munic

ations

carr

ier

B t

o B

IT

se

rvic

e

NTT Group Structure

http://www.ntt-east.co.jp/en/

http://www.ntt-west.co.jp/english/


Corporate Data

■ Name:

NTT DATA Corporation

■ Head Office:

Toyosu Center Building,

3-3, Toyosu 3-chome,

Koto-ku, Tokyo 135-6033, Japan

■ Established:

May 23, 1988

■ Common Stock:

¥142,520 million (as of March 31, 2015)

■ Fiscal Year:

April 1 to March 31 of the following year

■ Business Areas:

- System integration

- Networking system services

- Other business activities related

to the above

1988 NTT DATA Communications Systems Corporation spun

off into a separate company from NTT

1995 Listed on the Second Section of the Tokyo Stock Exchange

1996 Changed English name to NTT DATA Corporation

Listed on the First Section of the Tokyo Stock Exchange

2007 Achieved consolidated net sales of ¥1 trillion2008 20th anniversary of establishment2012 Start of four-year Medium-Term Management Policy

(covering the period to March 31, 2016)2013 25th anniversary of establishment2015 Achieved consolidated net sales of ¥1.5 trillion

Overview of NTT DATA History

Copyright © 2015 NTT DATA Corporation 5

Traffic lights/lane control system


Future possibilities of our solutions

ControllingForecastingVisualizingGathering data

Congestion Display

Accident display

Regulation traffic light/lane

Forecastingcongestion

Sensor data

Multi-agentSimulation

9

8

1

6

3

４

8

1

４

×自動車事故

×事故渋滞

Traffic information(text)

Control traffic lights/lane with forecasting and simulation.

To change the existing way of traffic control


Dynamic traffic control

changes the phase after use up green or red time.

changes phase and extend green time aligning car arrivals

Platoon: group of carsThe top car arrives at the intersection 10sec. Later

Now

10 second later

Now

Anticipated arrival time = rest of distance / current average speed)

Fixed time method

Dynamic control method

Cars stop unless green is good timing

By turning the light green in exact timing, platoon can pass smoothly at

the intersection


Field study project in Jilin city China

Improve current bus travel time in peak time zone

Confirmation of effectiveness of congestion easingby traffic signal optimization with simulation

1. Decide the optimal traffic signal control by the simulator

2. Set the control parameters into traffic signals3. Evaluate its effectiveness

Target

Objective

Action

Bus GPS data： 165 unitsBus route： 8 lines

Traffic lights： 6 intersectionsScale

<target area> <Field study overview>

吉林大街

解放大路

We collaborated with Jilin city government and local company in Jilin. We conducted the field study in the city center .

「© OpenStreetMapへの協力者」


Result of field study project in Jilin city

Before optimization After

Improvement of latency

As a result, we achieved to alleviate congestion. The average speed of all vehicles traveling through the intersections improved 1–2 km/h, and the improvement of bus travel time was 7% on average and 27% at best.

90%

95%

100%

105%

110%

115%

120%

125%

130%

percen

tage

130routeTarget area

Average

７％improvement

２７％improvement

Improvement of travel time of bus

「© OpenStreetMapへの協力者」


Next generation traffic control R&D

Arterial -> SCOOT

Area without any sensor -> our algorithm

detectordetector

Imtech SCOOT algorithm

• Sensor based• Dynamic control• Facility is costly• Local control• 40 yrs history

NTT data simulation based algorithm

• GPS+sensor• Near realtime

processing• Optimization

in wide area

• Develop a new algorithm: wide area & real time optimization• Integrate our simulation w/ Imtech T&I real traffic control system

Integration


Seamless Indoor/Outdoor Positioning System


Overview of Seamless Indoor/Outdoor Navigation

Ref. Press release by Ministry of Land, Infrastructure and Transport

Can not use GNSS- Impossible to caluculate

Outdoor

Indoor

Location ServiceOver wide area

Positioning

Governmet/CommercialWidely provided

・Maps by each building owner・disunion for mapping・continuous management system

Mapping

Existing a lot of location services

※Services are limited

High-Accuracy Positioning Society by Seamless Indoor/Outdoor Positioning System

Use GNSS - Stable Accuracy


Field study project in Near Tokyo Station

Beacon

SmartPhone

Positioning Server

Wi-Fi

Installing indoor

positioning devices

Sig

nal

strength

Positio

n

PDR using sensor inside Smartphone

About 300 BLEs

Navigation

ApplicationIndoor/Outdoor

Seamless Mapping

BLE/Wifi position

SmartPhone position Logs


User Location map

③ 4 PM ~ 8 PM① 6 AM~ 10 AM ② 11AM ~ 3 PM

It will make it possible to analyze the data of collected location-related information in

order to resolve congestion at event sites or provide smooth evacuation guidance

during emergencies.


Mobile big data analysis

NTT DoCoMo offers a service of providing mobile big data. This data is the statistics of population derived from mobile phone positioning data.

We developed analysis technology to estimate traffic demand

Mobile big data

Statistics of population that is gathered from mobile phone and include age, area, gender of users of mobile phone

Increase 5 people

Mobile big data

年月日時刻 4次地域メッシュ

居住地年齢層

性別人口

2016/7/24

8:00 544000984 茨城県つくば市谷田部

20 男 20

2016/7/24

9:00 544000984 茨城県つくば市谷田部

20 男 25

2016/7/24 9:00

Estimate traffic demand

Estimate movement of people by analyzing the deference of # of people by time zone

movement


QBIC ( QZSS Business Innovation Council)


17

(1)QBIC has been organized with support of industries,

governments, research institutes/universities, July 2013.*QZSS Business Innovation Council

(2) Objective is to support business development of

industries in Japan and Asia-Oceania Region using

QZSS/GNSS, thus giving social and economic benefits

to the region.

(3)Main activities are planned as follows;a. Overseas Business Development : to Asia-Pacific region

b. User Environment Preparation : visualization of positioning

environment, necessarily legal regulation

c. Standardization : standardization of satellite signal/user interface,

receiver, device, and application

d. Social Demonstration Preparation : Utilization experiments

QBIC QZSS Business Innovation Council

QBIC ( QZSS Business Innovation Council)



Documents

Our Activities in Smart Mobility Field - GNSS ASIAjapan.gnss.asia/sites/default/files/up_img/6.NTTDATA.pdf · Mobile big data analysis NTT DoCoMo offers a service of providing mobile