UITP Metro Seminar Observatory of Automated...

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UITP Observatory of Automated Metros The Trend to Automation Ramon Malla Chairman of the UITP Observatory of Automated Metros Director of Automated Lines, TMB 4 th Automated Metro Seminar 6 th Sept 2013 London

Transcript of UITP Metro Seminar Observatory of Automated...

UITP Observatory of Automated Metros

The Trend to Automation Ramon Malla Chairman of the UITP Observatory of Automated Metros Director of Automated Lines, TMB

4th Automated Metro Seminar

6th Sept 2013 London

83 km

Pioneers era: 1980-90

Lille

Osaka

Vancouver

Yokohama Kobe

Detroit

Miami

196 km

Early Adopters: 1990-2000

Lille

Osaka

Vancouver

Yokohama

Paris

Lyon Tokyo

Taipei

Kuala Lumpur

Kobe Toulouse Detroit

Miami

Singapore

Busan

Lausanne

Torino Brescia

674 km

A proven reality: 2000-Today

Lille

Vancouver

Osaka

Yokohama

Lyon

Paris

Tokyo

Taipei

Kuala Lumpur

Singapore

Toulouse Barcelona

Copenhagen

Nuremberg Rennes

Nagoya

Hong Kong

Las Vegas Kobe

Dubai

São Paulo

Seoul

New York

Detroit

Miami

Milano

Uijeongbu

Yongin

674 km

Exponential Growth! 2014-2025

future 1888 km

Observatory of Automated Metros

World Automated Metros: “The UTO Atlas”

• Scope & Criteria

• Automation Today

• Trends & evolution

• Future: Growth

• Conclusions

Observatory of Automated Metros

World Automated Metros: “The UTO Atlas”

• Scope & Criteria

• Automation Today

• Trends & evolution

• Future: Growth

• Conclusions

Observatory of Automated Metros

• Global overview of the current situation of metro automation

• Growth predictions

• Identify trends and major milestones

Scope & criteria

Scope: A complete annual report of automated metros in the world

Observatory of Automated Metros

Selection criteria applied in the study:

• Unattended Train Operation (UTO): Only metro lines

designed to operate without drivers

• Public transport service: Metro lines without

connection to public transport services have been

discarded

• Minimum train capacity required: More than 100

passengers/train.

Scope & criteria

Observatory of Automated Metros

World Automated Metros: “The UTO Atlas”

• Scope & Criteria

• Automation Today

• Trends & evolution

• Future: Growth

• Conclusions

Observatory of Automated Metros

World Automated Metros: “The UTO Atlas”

• Scope & Criteria

• Automation Today

• Trends & evolution

• Future: Growth

• Conclusions

Observatory of Automated Metros

Automation Today

Observatory of Automated Metros

Automation Today

Asia Europe NorthAmerica

Middle East SouthAmerica

40%

32%

19% 12%

1%

UTO % of km per World Region

Observatory of Automated Metros

0%

4%

8%

12%

16%

20%

Automation Today

19

%

UTO % of km per Country

12

%

12

%

Observatory of Automated Metros

0

10

20

30

40

50

60

70

80

90

Du

bai

Van

cou

ver

Sin

gap

ore

Lille

Bu

san

Par

is

Ku

ala

Lum

pu

r

Tou

lou

se

Taip

ei

Toky

o

Co

pen

hag

en

Nu

rem

ber

g

Seo

ul

Yon

gin

Ko

be

Bre

scia

Tori

no

New

Yo

rk

Lyo

n

Uije

on

gbu

Yoko

ham

a

Bar

celo

na

São

Pau

lo

Nag

oya

(A

ich

i)

Ren

nes

Osa

ka

Las

Veg

as

Mia

mi

Lau

san

ne

Det

roit

Mila

no

Ho

ng

Ko

ng

Automation Today

80 Dubai

UTO km per City

68 Vancouver

61 Singapore

Observatory of Automated Metros

0

10

20

30

40

50

60

DU

B R

ed L

.SI

N C

CL

LIL

L2K

LP K

elan

a Ja

yaV

NC

Exp

o L

.TA

I Wen

hu

L.

BU

S B

usa

n-G

imh

aeD

UB

Gre

en L

.C

PH

M1

/M2

VN

C M

illen

ium

L.

SIN

NEL

VN

C C

anad

a L.

SEO

SB

LYO

N E

verl

ine

PA

R L

1TO

U L

.BTO

K N

ew T

ran

sit

BR

ES M

etro

bs

NU

E U

2TO

R L

1N

Y A

irtr

ain

JFK

BU

S L4

LYN

L.D

LIL

L1TO

U L

.AU

IJ U

L.

KO

B P

ort

Lin

erYK

H K

anaz

awa

L.B

CN

L9

/10

TOK

Nip

po

ri-T

on

eri

SP L

4P

AR

L14

NA

G L

inim

oR

NS

L.A

OSK

New

Tra

mSI

N B

uki

t P

anja

nP

AR

Orl

yval

LVG

Las

Veg

as M

RM

IA M

etro

mo

ver

NU

E U

3LS

N M

2D

UB

Pal

mD

ET D

PM

KO

B R

okk

o L

iner

MLN

L5

HK

G D

RL

Automation Today

52 Dubai Red

UTO lines length (in km)

33 Singapore CCL

31 Lille L2

Observatory of Automated Metros

Automation Today

Stations per line

0

5

10

15

20

25

30

35

40

45

50

LIL

L2SI

N C

CL

DU

B R

ed L

.P

AR

L1

TAI W

enh

u L

.K

LP K

ela

na

Jaya

CP

H M

1/M

2B

US

Bu

san

-Gim

hae

TOR

L1

MIA

Met

rom

ove

rV

NC

Exp

o L

.TO

U L

.BTO

U L

.ALI

L L1

DU

B G

reen

L.

BR

ES M

etro

bs

VN

C C

anad

a L.

SIN

NEL

TOK

New

Tra

nsi

tN

UE

U2

YON

Eve

rlin

eR

NS

L.A

UIJ

U L

.LY

N L

.DLS

N M

2B

US

L4YK

H K

anaz

awa

L.SI

N B

uki

t P

anja

nD

ET D

PM

VN

C M

illen

ium

L.

TOK

Nip

po

ri-T

on

eri

KO

B P

ort

Lin

erB

CN

L9

/10

OSK

New

Tra

mN

Y A

irtr

ain

JFK

NA

G L

inim

oP

AR

L14

NU

E U

3LV

G L

as V

egas

MR

MLN

L5

SEO

SB

LK

OB

Ro

kko

Lin

erSP

L4

DU

B P

alm

PA

R O

rlyv

alH

KG

DR

L

44 Lille L2

28 Singapore CCL

27 Dubai Red

Observatory of Automated Metros

0

500

1000

1500

2000

2500

3000

3500

SEO

SB

LP

AR

Orl

yval

DU

B R

ed L

.H

KG

DR

LSP

L4

VN

C M

illen

ium

L.

VN

C E

xpo

L.

DU

B P

alm

NY

Air

trai

n J

FKD

UB

Gre

en L

.SI

N N

ELK

LP K

ela

na

Jaya

YON

Eve

rlin

eV

NC

Can

ada

L.SI

N C

CL

BU

S B

usa

n-G

imh

aeTA

I Wen

hu

L.

PA

R L

14N

AG

Lin

imo

CP

H M

1/M

2TO

K N

ew T

ran

sit

LVG

Las

Veg

as M

RB

US

L4K

OB

Po

rt L

iner

NU

E U

2LY

N L

.DB

CN

L9

/10

BR

ES M

etro

bs

OSK

New

Tra

mYK

H K

anaz

awa

L.TO

U L

.BK

OB

Ro

kko

Lin

erTO

K N

ipp

ori

-To

ner

iU

IJ U

L.

NU

E U

3LI

L L2

LIL

L1TO

U L

.AP

AR

L1

TOR

L1

MLN

L5

RN

S L.

ASI

N B

uki

t P

anja

nLS

N M

2D

ET D

PM

MIA

Met

rom

ove

r

Automation Today

Line density: interstation distance (meters)

3083 m

350 m

Observatory of Automated Metros

Automation Today

Constructive models: underground vs elevated (# stations)

-40

-30

-20

-10

0

10

20

LIL

L2SI

N C

CL

PA

R L

1TO

R L

1TO

U L

.BTO

U L

.AN

UE

U2

SIN

NEL

LYN

L.D

LSN

M2

LIL

L1B

RES

Met

rob

sR

NS

L.A

BC

N L

9/1

0C

PH

M1

/M2

BU

S L4

NU

E U

3V

NC

Can

ada

L.P

AR

L14

MLN

L5

DU

B G

reen

L.

SEO

SB

LSP

L4

KLP

Ke

lan

a Ja

yaD

UB

Red

L.

VN

C E

xpo

L.

VN

C M

illen

ium

L.

TAI W

enh

u L

.B

US

Bu

san

-Gim

hae

MIA

Met

rom

ove

rTO

K N

ew T

ran

sit

UIJ

U L

.YO

N E

verl

ine

SIN

Bu

kit

Pan

jan

YKH

Kan

azaw

a L.

DET

DP

MTO

K N

ipp

ori

-To

ner

iK

OB

Po

rt L

iner

NY

Air

trai

n J

FKO

SK N

ew T

ram

NA

G L

inim

oLV

G L

as V

egas

MR

KO

B R

okk

o L

iner

DU

B P

alm

PA

R O

rlyv

alH

KG

DR

L

Observatory of Automated Metros

300 - 700 pax 100 - 300 pax > 700 pax

Automation Today

Line Capacity: passengers per train (as a % of km)

50%

32%

18%

< 300 pax/train

300-700 pax/train

> 700 pax/train

Observatory of Automated Metros

1st July 2012:

U Line Uijeongbu, Republic of South Korea

11,1 km - 15 stations

Operator: Uijeongbu Light Rail Ltd.

Platform Screen Doors

Small capacity train (Siemens)

Signaling tech: Inductive loops

Third rail power

Rubber-tyred wheels

Line fully elevated

Automation Today: 2013 New Lines

Observatory of Automated Metros

4,1 km - 7 stations

Operated by Azienda Transporti

Milanesi s.p.a.

Platform Screen Doors

Medium capacity train (Ansaldo Breda)

Signaling tech: Inductive loops

Third rail power

Steel wheels

Fully underground

10th February 2013:

Line 5 Milano, Italy

Automation Today: 2013 New Lines

Observatory of Automated Metros

13,7 km - 17 stations

Operated by Brescia Mobilitá

Platform Screen Doors

Medium capacity train (Ansaldo Breda)

Signaling tech: Inductive loops

Third rail power

Steel wheels

13 st. underground

2nd March 2013:

Line 1 Brescia, Italy

Automation Today: 2013 New Lines

Observatory of Automated Metros

18,1 km - 15 station

Operated by Yongin LRT Consortium

Platform Screen Doors

Small capacity train (Bombardier)

Signaling tech: RF-Free propagation

(discrete antennae)

Rubber-tyred wheels

Line fully elevated

26th April 2013:

EverLine Yonging, Republic of South Korea

Automation Today: 2013 New Lines

Observatory of Automated Metros

World Automated Metros: “The UTO Atlas”

• Scope & Criteria

• Automation Today

• Trends & evolution

• Future: Growth

• Conclusions

Observatory of Automated Metros

World Automated Metros: “The UTO Atlas”

• Scope & Criteria

• Automation Today

• Trends & evolution

• Future: Growth

• Conclusions

Observatory of Automated Metros

0

50

100

150

200

250

20

02

20

03

20

04

20

05

20

06

20

07

20

08

20

09

20

10

20

11

20

12

20

13

+50%

+26%

+24%

Medium

Small Big

< 300 pax/train

300-700 pax/train

> 700 pax/train

Line Capacity: passengers per train (as a % of last decade new km’s)

Trends & Growth

Observatory of Automated Metros

0

50

100

150

200

20

02

20

03

20

04

20

05

20

06

20

07

20

08

20

09

20

10

20

11

20

12

20

13

Signaling Solutions: Share of Inductive loops – Radio - Wave

+51%

+34%

+15%

Inductive Loop

RF free propagation

Inductive

Wave

Radio

Trends & Growth

Observatory of Automated Metros

0

50

100

150

200

250

300

350

400

20

02

20

03

20

04

20

05

20

06

20

07

20

08

20

09

20

10

20

11

20

12

20

13

+ 86%

+ 14%

PSD

Detectors

Track Protection Systems: Platform Screen Doors vs Intrusion Detection Systems (as a % of last decade new stations)

Platform Screen Doors

Intrusion Detectors

Trends & Growth

Observatory of Automated Metros

0

50

100

150

200

250

300

20

02

20

03

20

04

20

05

20

06

20

07

20

08

20

09

20

10

20

11

20

12

20

13

+ 69%

+ 2%

Steel Wheel

Mag Lev

Wheel Systems: Rubber vs Steel (as a % of last decade new km’s)

Steel Wheel

Rubber tyred

Rubber-tyred + 29%

Trends & Growth

Observatory of Automated Metros

0

50

100

150

200

250

20

02

20

03

20

04

20

05

20

06

20

07

20

08

20

09

20

10

20

11

20

12

20

13

Trends & Growth

+ 55%

+ 45%

underground

elevated

Constructive Model: Elevated vs Underground (as a % of last decade

new stations)

Underground

Elevated

Observatory of Automated Metros

Conversions: High potential but few realities

Trends & Growth

Nürnberg U2

2009 Paris L1

2012

Observatory of Automated Metros

World Automated Metros: “The UTO Atlas”

• Scope & Criteria

• Automation Today

• Trends & evolution

• Future: Growth

• Conclusions

Observatory of Automated Metros

World Automated Metros: “The UTO Atlas”

• Scope & Criteria

• Automation Today

• Trends & evolution

• Future: Growth

• Conclusions

Observatory of Automated Metros

0

200

400

600

800

1000

1200

1400

1600

1800

2000

19

81

19

83

19

85

19

87

19

89

19

91

19

93

19

95

19

97

19

99

20

01

20

03

20

05

20

07

20

09

20

11

20

13

20

15

20

17

20

19

20

21

20

23

20

25

Exponential growth! Future Growth

1x

6x

Observatory of Automated Metros

Exponential growth! relative to previous decade

0

250

500

750

1000

1250

1500

1750

2000

1990 2000 2010 2020

x 2

x 2.5

x 3.5

Future Growth

Observatory of Automated Metros

Worldwide growth distribution (% of new km’s 2014-25)

Australia NorthAmerica

SouthAmerica

Middle East Asia Europe

37%

27%

21%

4%

10% 2%

Future Growth

Observatory of Automated Metros

UTO km % per World Region in 2025

Australia SouthAmerica

NorthAmerica

Middle East Asia Europe

35% 32%

17%

8% 7% 1%

Future Growth

Observatory of Automated Metros

World Automated Metros: “The UTO Atlas”

• Scope & Criteria

• Automation Today

• Trends & evolution

• Future: Growth

• Conclusions

Observatory of Automated Metros

World Automated Metros: “The UTO Atlas”

• Scope & Criteria

• Automation Today

• Trends & evolution

• Future: Growth

• Conclusions

Observatory of Automated Metros

Conclusions

Observatory of Automated Metros

Automation requires a “paradigm shift” in metro business model

Observatory of Automated Metros

A bright future for metro automation

Thank you!

Lausanne Brescia

Milano

Lyon

Paris

Singapore

Taipei

Kuala Lumpur

Barcelona

Rennes

Copenhagen

Toulouse

Dubai

São Paulo

Seoul

Brussels Helsinki

Honolulu

Incheon Istanbul

Macau

Manaus

Budapest

Riyadh

Rome

Santiago de Chile

Sidney

Thessaloniki

Vancouver

New York

Miami

Detroit

Lille

Hong Kong

Kobe Busan

Seoul Uijeongbu

Yongin

Osaka

Yokohama

Tokyo

Nagoya

Nuremberg

Torino