Utilization of Traffic/Location Information in Disaster Management

8/10/2019 Utilization of Traffic/Location Information in Disaster Management

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24th

November, 2014

Yu NoguchiEmerging Technologies & Solutions Div.Fujitsu Limited

Utilization of Traffic/Location Information

in Disaster Management

Copyright 2014 FUJITSU LIMITED


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Our Strength

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Fujitsus Products and Services

FUJITSU SupercomputerPRIMEHPC FX10

FUJITSU ServerPRIMERGY

FUJITSU StorageETERNUS

Data centers around the globe

FUJITSU SmartphoneSTYLISTIC

FUJITSU TabletSTYLISTIC

Technology Solutions

Ubiquitous Products Solutions Device Solutions

Services System Platforms

FRAM(Nonvolatile

memory)

Imaging ProcessorGraphic DisplayController

FUJITSU PCLIFEBOOK


System Integration Service

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5: Road Info Systems6: Remote Image Monitoring

8: Disaster Mgmt Info Systems


Fujitsus Expertise in Social Infrastructure Field

MLIT

Regional Development Bureau

River AuthorityNational Roads Authority

Dam Authority

NRA BranchRA Branch

SATCOM

Multiple

Wireless

Networks

1: MLIT Network 4: Telemetry Systems2: Dam Safety Mgmt Systems 3: River Info Systems

6: Remote Image Monitoring

7: Remote Monitor/ControlSystems for Floodgates

5: Road Info Systems

11: Police Command & Control Systems10: Command & Control Systems for Fire Depts.

8: Disaster Mgmt Info Systems

9: Prefectural Govts Wireless Radio Systems

Prefectural

Govts.

Disaster Mgmt

Authorities

Fire Dept. HQ

Relay StationSATCOM

MWNs

Single Wireless Network

Branches/Prefectural Authority

Municipal Govts.

9: Prefectural Govts Wireless Radio Systems

2: Dam Safety Mgmt Systems

3: River Info Systems

4: Telemetry Systems

7: Remote Monitor & Control Systems for Floodgates

11: Police Command & Control Systems

10: Command & Control Systems for Fire Depts.

1: MLIT Network

12: Airport Spot Management System

12.Airport Spot Management System

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Fujitsus Strength

FUJITSU contribute customers success together with customers.We Fujitsu promise to support customers with all of our know-hows and results in all over

the world using our cutting-edge technology.

Results Technologies

Know-hows

Big data handling Cloud computing technology Secure Data Center

Know-hows based on30 years proven experiences of ITS and telematics40 years proven experiences of Disaster Management

First SPATIOWL adoption overseais in an Asian Country

Data Center operation inAsia Region

Asia NIPPONKIZUNA

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Road & Traffic Solutions

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4.3billion (UK)

12trillion (JP)

$15 billion (CA)

Every country has traffic congestion as a social issue.

Traffic has an important role in case of disaster, thus if its damaged oureconomic activity and resilient activity will be affected.

Fujitsus Understanding


Predicted figure of the annualeconomic loss due to traffic

congestion

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The efficient use of transportation infrastructure requires strategic trafficmanagement to control, direct and inform mostly up-dated information for user ofpublic transportation, motorists, pedestrians, etc

To do so, Its essential to grasp traffic relevant real-time / big data from variousroad sensors, TMCs, vehicles, POI, SNS and so on to explore, analyze and predictfor managing the overall traffic information comprehensively.

SPATIOWL, data management & service platformfocusing on location & time information, is

1. the integrated data platform forTraffic & Disaster Management2. run over scalable & globally accessible Fujitsu cloud environment

3. good at handling spatial traffic big data, specificallymoving objects

To Solve the issues

*Origin of the name SPATIOWL:A new word that combines the prefix "spatio," meaning "space," with "owl," an ancient symbol of wisdom. SPATIOWL, the name for Fujitsu's new service,

represents the delivery to customers of services that provide a wide range of benefits by logically organizing space.

Copyright 2013 FUJITSU LIMITED7


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StudiesCase

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Demo


Speed

Traffic condition before/after the earthquake on March 11, 2011

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Demand Forecast in Tokyo Taxi-Tracking Analysis

8,000 taxi probe data (40TB), visualize the traffic / passenger flowby taxi probe.

Figure out the tendency of taxi flow (& passengers behavior).

Forecast traffic demand, optimizing taxi dispatching operation.

Track of taxi departure fromExit B in Tokyo Station

Track of taxi departure fromExit A in Tokyo Station

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Data Integrating of Moving Object

Copyright 2014 FUJITSU LIMITED11


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Urban Transportation Optimization Bus Probe

* Historical data only

50,000 bus probe and urban traffic data (1.7TB*) Real-time data of VD, GVP, CCTV and Historical data

Visualize urban traffic flow and congestion tendency

Improve urban traffic congestion Efficient dispatch buses in case of emergency

Speed difference is 18km/h andthis fact indicates its preferable toutilize different data to figure moreaccurate and cover wider areas.

VD data showsTraffic speed 45km/h

GVP(Bus) data showsTraffic speed 27km/h

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Utilize smartphone as portable urban transport monitoring sensor. Highway patrols upload incidents through smartphone to TCC.

Contribute to establish easier and cost-effective traffic monitoring

system as well as visualizing urban traffic condition.

Traffic Monitoring Utilizing Smartphone

Platform (SPATIOWL)Highway Patrol

Driver

Alternative Route Information

Emergency

Smartphone

TCC

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Highway Operator in Regional City (South East Asia) Employee200

Role

Operate highway

Maintain highway, manage assets

ICT Completion : Basic facilities (CCTV etc.), Toll Collection System is operated

Issues

Density of Highway is low compare to normal roadNormal road is quite congested

Measures

To attract potential users to highway with providing congestion status and travel

time between interchangesIn the meantime, contribute congestion mitigation on normal roads and

environmental improvement (Exhaust gas etc..)

Customer Profile

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System Overview

System Structure

SPATIOWLProbeInformationInterFa

ce

Probe DataProcessing

ProbeData

CreateTraffic Info

CalculateTravel Time

Patrol Cars

Visualized congestion status on Toll Road Calculate Travel time

Real-time Monitoring

EmergencyCall

Smart Phone

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Social EnvironmentPower Supply : High (No blackout)

Network : High (Wireless/Mobile network are available)

Digital Map : High (Google map, Open Street map)

Penetration rate of smartphones : Not high

Customer Environment

Teaming for Operation : High ICT Engineer : 2 peoples (in-house)

Daily operation with ICT system is partially done

ICT Infrastructure : Middle

Internet/Intranet access : Available in office, but not connected to tall gates

CCTV system is already operated

Toll Collection System is developed by them own

ICT Skill : Middle

Basic ICT literacy for PC, Internet, PC etc..

Awareness about cyber security is not enough etc..

Background of the project

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Proposal

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More passengers on public transportation, less private vehicles

SPATIOWLSPATIOWLSPATIOWLSPATIOWL

Importance of Bus Management


To mitigate traffic congestion, public transportation is the key player

To increase the number of passengers, efficient fleet management is necessary

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System Image

Features

Using Smartphone GPS

Using Cloud Computing Technology

FunctionalitiesProvide Estimated Arrival Time to Passengers

Provide Real time Vehicles Monitoring to Operators

Mutual Communication between Center and Drivers

Efficient bus dispatch.Copyright 2014 FUJITSU LIMITED

Bus Fleet Management System

Control Centre

Public

Bus Stop

SmartphoneOr Tablet

Fujitsu Cloud

Centre

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Benefits Provide several service to the passengers with utilizing bus locations

information

More accurate Travel time and estimated arrival time

New service (e.g. Bus for women only)

Data analysis with accumulated bus location data

Tendency analysis, such as by route, by bus or by driver

Drivers awareness about safety driving etc..More efficient daily operation by information visualization

Interval adjustment etc..

Mutual communication between drivers and control center

Bus Fleet Management System

Lead to mitigate traffic congestion in the region by increasingthe number of passengers on public transportation

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Documents

Utilization of Traffic/Location Information in Disaster Management