POSSIBLE(UTILIZATION(OF(MOBILE(BIG(DATA(ANALYSIS(FOR(TRANSPORT(SECTOR(IN(VIET(NAM

Dr.$Nguyen$Quang Tuan$– Vice$General$Director
Institute$of$Transport$Science$and$Technology$

Hanoi,$16$January$2019

CONTENTSIOVERVIEWII

ROLES(OF(MOBILE(BIG(DATA(IN(TRANSPORTATIONIII

MOBILE(BIG(DATA(APPLICATION(IN(VIETNAM’s(TRANSPORT(SECTORIVAPPLICATION(POTENTIALITIESVCONCLUSION

I.$Overview
Concept• Big$data:$Big$Data$is$used$to$define$a$hyper$set$of$data$so$complicated$that$conventional$data$processing$tools$are$
not$able$to$handle,$manage,$store$and$analyze.$The$concept$of$Big$data$is$also$characterized$by$velocity,$
volume$and$variety.

I.$Overview

I.$Overview• Collection,$storage$and$analysis$of$data$is$now$on$the$rise$

and$seems$unbounded,$which$are$promoted$by$fast$
increased$processing$capacity$and$significantly$decreased$
costs$in$both$computation$and$storage.$• Big$data$based$management$system$can$handle$a$large$
volume$of$complicated$data.
• Big$data$is$the$solution$to$three$problems:$data$storage,$
data$analysis$and$data$management.$

I.$Overview
Big(data(characterization• Data$files$can$be$so$large$and$complicated$they$may$
become$different$when$processed$by$conventional$data$processing$applications$and$existing$data$management$
tools.$Therefore,$data$collection,$storage,$search,$sharing,$
transfer$and$analysis$can$be$a$big$challenge.
• The$trend$for$bigger$and$bigger$data$set$is$a$result$of$
many$information$being$extracted$from$analysis$of$a$data$
set$comprising$of$various$related$data.$More$and$more$
data$are$being$collected$by$information$sensing$mobile$
devices,$remote$sensing$devices,$application$logs.$
cameras$and$wireless$networks.$

I.$Overview

Mobile$Big$DataI.$Overview
Mobile(big(data• More$and$more$people$are$$using$mobile$phones$around$the$world.$By$2020,$about$11.6$billion$mobile$devices$will$
be$connected$to$networks.$At$the$present,$mobile$phones$
have$changed$the$way$people$communicate$and$work.$
Applications$and$innovations$are$so$frequent$as$seen$in$
the$mobile$phone$industry$are$triggered$by$big$data$
analysis.$• Big$data$analysis$on$mobile$devices$is$one$of$the$most$important$factor$in$success$of$mobile$application.$By$using$mobile$data,$it$is$possible$to$track$and$monitor$major$
trends$of$users$in$order$to$make$decisions$to$increase$interaction$and$guide$collection$purpose.$I.$Overview

Yearly$Global$IP$traffic$(source:$OECD)

I.$Overview• Mobile$phones$are$now$used$to$collect$big$data$by$various$

organizations$so$that$they$can$get$information$volume$bigger$than$ever$before.$Most$of$the$modern$mobile$
phones$are$equipped$with$global$positioning$system$which$
can$help$to$locate$positions$of$the$phones.
• Apart$from$routing$data,$mobile$phones$are$containing$a$
treasure$of$information,$including$call$logs,$SMS$
messages$and$social$network$posts.$• Mobile$phones$also$work$as$individual$sensors$which$collect$information$from$the$surrounding$environment.$
Collection$and$analysis$of$information$from$millions$of$mobile$phones$may$lead$to$important$information,$which$can$be$used$to$send$notifications$to$the$mobile$phone$users.$

II.$Roles$of$Mobile$big$Data$in$
Transportation• According$to$the$General$Statistics$Office,$Vietnam’s$

population$as$of$2016$was$about$92.7$million$with$an$
average$growth$of$1.08%$per$year.
• Forecast$shows$that$Vietnam’s$population$is$still$growing.$
By$2025,$the$population$estimate100$millions$and$by$the$
mid$of$the$century,$may$reach$110$millions.$• Population$growth$has$placed$a$challenge$to$great$urban$
centers.$Increased$population$also$means$increased$
demand$for$transport$vehicles.$Pressure$from$fast$
population$growth,$especially$in$big$cities,$has$forced$the$Government$to$provide$adequate$strategies$for$
infrastructure$development.

II.$Roles$of$Mobile$big$Data$in$
Transportation
Population(2010(L 2016((unit:(million)
93.00

91.71

92.00
91.00

89.76

90.00
89.00
88.00

92.70

86.93

87.86

90.73

88.80

87.00
86.00
85.00
84.00

2010

2011

2012

2013

2014

2015

2016

II.$Roles$of$Mobile$big$Data$in$
Transportation
2.94%

0.28%
7.86%
9.37%
19.76%

59.87%
Express(way((805km)
High(way((22.783km)
Provincial(Road((27.176km)
District(road((57.294km)
Commune(road((173.294km)

II.$Roles$of$Mobile$big$Data$in$
Transportation
Roads• Vietnam’s$road$network$from$North$to$South$is$289,880$km$
long,$which$include$expressways$805km$and$national$highways$
22,783km,$as$of$2016,$and$accommodating$more$than$3$million$
automobiles$and$47$million$motorcycles,$as$of$2016.$$
Automobile$and$motorcycle$ownership$increases$by$10.24%$
and$7.5%$per$year.$Many$road$sections$and$intersections$have$
been$now$overloaded$– 3$or$4$times$or$more$than$the$design$
capacity,$even$22$times$during$peak$hours.
• Both$infrastructure$and$vehicles$are$expected$to$increase$in$the$coming$period.$Management$as$well$as$planning$will$require$accurate$data$on$the$current$situation.$Therefore,$development$
of$mega$database$now$is$needed$and$urgent.

II.$Roles$of$Mobile$big$Data$in$
Transportation
50,000,000
45,000,000
40,000,000
35,000,000

47,131,928$

Motorcycles

44,128,822$

Cars

31,452,503

33,925,839

36,102,943

38,643,091

41,212,965$

30,000,000
25,000,000
20,000,000
15,000,000
10,000,000
5,000,000
01,713,908

1,882,972

1,992,589

2,147,750

2,349,667$

2,663,269$

3,033,527$

2010

2011

2012

2013

2014

2015

2016

II.$Roles$of$Mobile$big$Data$in$
Transportation• Furthermore,$population$growth$is$lead$to$traffic$is$getting$denser$with$all$kinds$and$sizes$of$vehicles.$Traffic$
accidents$may$occur$any$time.$The$problem$for$managers,$
leaders$to$reduce$negative$impacts$the$traffic$volume$and$traffic$accidents$in$big$cities$still$has$no$effective$solution.$• Insufficient$transport$facilities$are$also$a$big$concern,$but$
they$are$not$yet$planned$to$provide$convenience,$safety$
while$ensuring$townscape$values.$A$good$plan$requires$for$
reliable$data$as$input$and$basis.$II.$Roles$of$Mobile$big$Data$in$
Transportation

Management(of(Infrastructure• Data$is$used$to$optimize$management$processes$or$provide$datacbased$processes.$This$includes$the$use$of$data$to$improve$
management$efficiency$in$transport$sector$(intelligent$transport).
• Traffic$has$a$significant$impact$on$the$livability$and$efficiency$in$
cities.$Effective$use$of$data$will$help$manage$traffic$more$
effectively,$respond$well$to$infrastructure$demand$from$increased$population.
• Intelligent$traffic$management$aims$to$make$driving$in$urban$
areas$seamless$and$efficient.$As$smart$cities$grow,$services$
and$infrastructure$will$be$more$integrated.$In$addition,$issues$
such$as$traffic,$waste$management$and$energy$will$benefit$
greatly$from$concept$of$Big$Data$and$IoT.

II.$Roles$of$Mobile$big$Data$in$
Transportation
Manage$road$infrastructure
Monitor$vehicle$movements

Manage$quality$verification$of$
vehiclesMobile(Big(Data(in(Road(ManagementCOMPREHSIVE$TRAFFIC$MANAGEMENT$
USING$DIGITAL$MAPS

Monitor$vehicle’s$load

Manage$drivers’$licenses

II.$Roles$of$Mobile$big$Data$in$
Transportation

Planning(and(Organization• The$problem$now$is$how$to$organize$and$manage$transport$network$appropriately$and$assign$proper$transport$modal$splits$to$the$current$and$future$road$
network$so$as$to$meet$the$travel$demand,$especially$in$big$
cities.
• Data$analysis$is$used$to$help$planners$determine$the$causes$of$the$congestion.$Planners$may$consider$to$make$infrastructure$allocation$decisions$to$meet$future$demand.

II.$Roles$of$Mobile$big$Data$in$
Transportation

Traffic(Management• Big$Data$contains$a$lot$of$valuable$information$that,$if$
successfully$extracted,$will$be$useful$to$a$lot$of$scientific$
researches,$prediction$and$even$determining$realctime$traffic$conditions.$Therefore,$these$data$must$be$collected,$organized,$stored,$searched,$shared$in$a$different$way$
than$usually$done.
• The$data$helps$identify$alternative$routes,$thereby$
encouraging$traffic$users$to$take$alternative$modes.

II.$Roles$of$Mobile$big$Data$in$
Transportation• Mobile$network$operators$use$cell$phone$tower$signals$to$crossccheck$locations$of$mobile$phone$users$and$identify$
patterns$of$incidents$and$congestion$based$on$data$
analysis.
• The$data$and$information$is$provided$to$third$parties$in$order$to$use$the$data$to$plan$the$implementation$of$the$necessary$tasks$to$create$a$usage$environment.$For$
example,$Orange$c the$French$mobile$telecommunications$service$company$using$Floating$Mobile$Data$technology$(FMD)$collects$mobile$phone$traffic$data$to$determine$
travel$speed$and$density$at$a$certain$point$of$road$
networks$and$deduce$travel$time$or$formation$of$traffic$
jams.

II.$Roles$of$Mobile$big$Data$in$
Transportation• Big$data$comes$from$all$places,$including$websites,$social$media,$networks,$log$
files,$video$files,$sensors$and$mobile$
devices.
• In$particular,$data$sources$from$mobile$
devices$are$especially$important$because$
most$of$us$keep$our$phones$24/7,$and$
each$phone$has$a$set$of$sensors,$
including$GPS,$camera,$microphone,$and$
motion$sensor.

II.$Roles$of$Mobile$big$Data$in$
Transportation• Moreover,$most$of$the$time$of$phone$users$is$not$spent$on$calls$

but$on$applications$such$as$email,$gaming,$web$surfing$and$social$networking$applications$– these$applications$acquire$
90%$of$phone$users$on$the$phone.$A$huge$source$of$data$that$makes$Big$Data$is$from$mobile$data,$and$this$data$source$is$constantly$being$created$at$mindcblowing$rate.
• Big$data$traffic$applications:$Use$of$past$data$to$estimate$traffic$
flows$in$the$city$at$peak$hours,$and$then$to$formulate$detailed$
and$reasonable$traffic$assignment$plans$to$reduce$traffic$jams.$
In$addition,$it$would$be$also$possible$to$notify$traffic$users$with$
options$available$for$traveling$from$one$place$to$another,$including$time$and$routes$...$In$addition,$big$data$helps$analyze$
device$user$locations,$record$details$in$real$time$and$minimize$traffic$congestions.

II.$Roles$of$Mobile$big$Data$in$
Transportation

Intelligent$Transport$Architecture$based$on$Big$Data

III.$Application$of$Mobile$Big$Data$in$
Vietnam’s$Transport$Sector

Road• Applicationof Big Data in Database System
Development: vehicle tracking system, driving license
system, road toll collection monitoring system, bridge
management system.
• Specifically, in road transport management, the center forprocessing and exploitation of database from trip
monitoring equipment has been established andoperated. The system develops the traffic database andcontrols traffic smartly, including receiving, monitoring,recording and analyzing the database and exports thereports for management of Vietnam Road Administration
Department and localities.

III.$Application$of$Mobile$Big$Data$in$
Vietnam’s$Transport$Sector
On$siteOfficeField$information$collection,$Site$survey$monitoring
Incident$monitoring
Field$information$collection,$exchange
Position
Chainage
TimeImageVideo
Description$

Road$Management$System

Exchange,$online$guidance$
provision
Asset$status$update,$
Maintenance$data$updating$on$
digital$map
Database$management

III.$Application$of$Mobile$Big$Data$in$
Vietnam’s$Transport$Sector• Mobile big data is also applied to specific subcsectors:

Cable monitoring system, noncstop automatic road tollcollection system, “digital mapcbased smart trafficmanagement system”, the system connected to databaseof Vietnam Registration Department• Especially AI application, Vietnam Road Administration
Department has introduced AI in road surface condition
analysis (PMS software)i completion of databasesystems, especially road asset database, infrastructure,transportation, etc.
• The applications allow connection and deeper analysis on
economic indicators such as traffic volume, natural hazard
forecast, geographical space for asset management.

III.$Application$of$Mobile$Big$Data$in$
Vietnam’s$Transport$Sector

Aviation• Big data may revolutionize all aspects of the air transport
sector. With stimulus database on passengers’ behaviors,
airlines can understand the entire experience of thepassengers.
• Diversity of data related to transport capacity has been
improved significantly. Real time data could be reported
from modern plane fleet at any place on the world andinformation about crews and passengers.

III. Application of Mobile Big Data in
Vietnam’s Transport Sector

Mobile$big$data$in$civil$aviation

III. Application of Mobile Big Data in
Vietnam’s Transport SectorMobile$big$data$is$also$introduced$in$air$transport$services$
to$improve$quality$of$various$services,$including:$• Data$processing• Service$pricing• Online$ticket$reservation$• Smart$registration• Barge$monitoring• Passenger$experience’s$improvement• Service$optimization$and• Flight$optimization$

III. Application of Mobile Big Data in
Vietnam’s Transport Sector
Waterway(and(Marine• In$Marine,$it$is$reported$that$big$data$and$analysis$has$
introduced$in$commercial$shipping.$Big$data$application$
based$on$wireless$communication,$advanced$sensor$
technology$and$AD$HOC$net$has$been$more$and$more$
popular$in$oceanology,$transport$data,$ship$fleet$data,$
cargo$data,$and$accident$data.$• Positioning technologies have also introduced innavigation for many years and big data is applied tocollect key navigation information about transport
journeys and routes in order to maximize the efficiency aswell as warning of weather conditions on the routes.

III.$Application$of$Mobile$Big$Data$in$
Vietnam’s$Transport$Sector

Mobile$Big$Data$in$Maritime$Subcsector

III.$Application$of$Mobile$Big$Data$in$
Vietnam’s$Transport$Sector• In inland waterway transport subsector,

information
technology has been introduced in administrative
services, digital mapcbased online database development
for list of inland waterway routes, berths and infrastructure
as well as GIS database.
• Advanced systems have been development recently,
including: onlinecreport on waterway transport routes andsafety, IcENC nautical chart for rivers and canals in
Mekong River Deltai AIS technologycbased fleet
management and monitoring, river beacon management
by GPS. Moreover, IZIFIX ectrading has been developedfor efficient commodity trading for inland waterway
transport.

IV.$Application$Potentialities• Vietnam has enormous information data with billions of

information from single sources. They are not processed
concentratedly by managed independently ministries,industries, localities and enterprises. They are valuableassets and must be collected and processed for future
development. Any resource which are not used properly
will be wasteful.
• When data sources are collected and processed as a Big
Data and IT is applied to process the big data, theadministrative agencies and road users can utilize thebigdata to make optimal decision smartly. Bigdata is arevolution, affecting and changing working methods andthinking.

IV.$Application$Potentialities• Bigdata application in supply chain management will

support better forecast results and better understanding of
consumer cycle for estimation of future warehousecapacity based on the past data. Successful exported
information from the database will be useful forenterprises’ business, especially logistics and supply
chain industries.
• All information including road, transporter, delivery time,transport mode, pricing place, revenue, income and profit
has been collected and achieved in the enterprises’
database.

IV.$Application$Potentialities

Bigdata$application$in$supply$chain

IV.$Application$Potentialities• Transport sector is a diversified industries with different

applications in noncstop road toll collection, speed
measuring on expressways, traffic signals, online train
ticket reservation, updating and adjustment of traffic lightsfrom the operation center, among others.
• In order to develop a smart transport system, the data andinformation is required to develop specific solutions andapplications. Vietnam has enormous information but theyshould be processed at a single center for application in
the transport sector.

IV.$Application$Potentialities

IV.$Application$Potentialities• Bigdata strengths lie in diversified, rich and realctime data

– three precisive factors of any data or information
source. Bigdata is significant to transport development,
including better forecast results, detailing of development
trends and situation analysis to provide information foraddressing of issues and promoting social developmenti
original data could be utilized to promote multicmodaltransport.

IV.$Application$Potentialities• Other great application potentiality is using of smart

application based on Machine to Machine (M2M)
communication. For example, smart cars are provided wit
sensors to monitor and transmit status of theircomponents as well as monitoring other vehicle
movements which promote opportunities for car
manufacturers introducing new services, including thiefc
proof equipment, positioning device and emergency
services.

IV.$Application$Potentialities

V.$Conclusion
It is proposed that MOT and relevant ministries should
consider policies to promote bigdata utilization. It is
important to integrate single data sources to Bigdata for
optimization of solutions and applications as well as IT
application in transport development. In order to develop
effective and practical bigdata source a policy frameworkand implementation regulations are required, specifically:• Cooperation in collection of different data sources(database development)i• Integration and linking of split and single data sourcesi• Selection and use of valuable datai data control andsecurity.

V.$Conclusion• The transport sector is using data with low frequency but

the data volume is increasing significantly. This is an
opportunity to improve efficiency in transport sector by
selecting transport routes smartly and development of
new services from smart applications.
• Smart route selection based on realctime transport data
can be practical using positioning systems. Somesystems are special hardware equipment but individualpositioning on smart phone application are developing
rapidly.

V.$Conclusion• In order to fully taking advantages of the datacbased

renovation policy makers must provided necessary
infrastructure and policy institution. The first step is wellunderstanding the importance of the datacbased
renovation in public and private sectors.
• Mobile Big Data is a challenge to organizations andenterprises in the digital era. One big data is owned andutilized properly, it will create great comparatives withmore accurate and cheaper data. There are debates on
big data and this is a new industry in Vietnam. Let’s try
our best for the new future from Mobile Big Data.

THANK(YOU(FOR(YOUR(ATTENTION!
Q&A