Copyright © 2015 NTT DATA Corporation June 2016 NTT Data Corp. Naoki ISO Our Activities in Smart Mobility Field
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
3Copyright © 2015 NTT DATA Corporation
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)
NIPPON TELEGRAPH AND
TELEPHONE WEST
CORPORATION
【100%】
NIPPON TELEGRAPH AND
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
4Copyright © 2015 NTT DATA Corporation
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
6Copyright © 2015 NTT DATA Corporation
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
7Copyright © 2015 NTT DATA Corporation
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
8Copyright © 2015 NTT DATA Corporation
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」
9Copyright © 2015 NTT DATA Corporation
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」
10Copyright © 2015 NTT DATA Corporation
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
12Copyright © 2015 NTT DATA Corporation
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
13Copyright © 2015 NTT DATA Corporation
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
14Copyright © 2015 NTT DATA Corporation
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.
15Copyright © 2015 NTT DATA Corporation
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
17Copyright © 2015 NTT DATA Corporation
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)