smart city 03

47
7/23/2019 Smart City 03 http://slidepdf.com/reader/full/smart-city-03 1/47 2 1 3        .    -   . .    4 9 : - .  ( S : P . 2 0 1 2 )   . .    - 4 T . T E . 5 T E . T

Upload: anonymous-ipf3w1fcz

Post on 17-Feb-2018

216 views

Category:

Documents


0 download

TRANSCRIPT

  • 7/23/2019 Smart City 03

    1/47

    2 1 3

    . -

    . .

    4 9 : - .

    ( S : P . 2 0 1 2 )

    . .

    -

    4

    T

    . T

    E

    .

    5

    T

    E

    . T

  • 7/23/2019 Smart City 03

    2/47

    2 1 4

    -

    .

    5

    T

    E .

    4

    M

    ,

    ,

    ,

    .

    4

    I

    . W

    -

    , -

    .

    T

    I E E E 8 0 2 . 1 1

    .

    4

    T E -

    . M

    E -

    . C

    .

    L :

    0 =

    1 = ,

    2 = ,

    3 = ,

    4 = , E U

    5 = ,

  • 7/23/2019 Smart City 03

    3/47

    2 1 5

    -

    1

    T

    ,

    .

    1

    T

    ,

    .

    1

    T

    ,

    .

    2

    T

    . H ,

    .

    3

    T

    - . T

    .

    4

    E 2 0 2 0

    2 0

    . A

    .

    1

    M

    . A

    E

    , ,

    E - , .

    L :

    0 =

    1 = ,

    2 = ,

    3 = ,

    4 = , E U

    5 = ,

  • 7/23/2019 Smart City 03

    4/47

    2 1 6

    -

    1

    M -

    ,

    -

    . I

    ( K . 2 0 0 9 , Q

    C 2 0 1 1 ) .

    2

    E -

    . T , ,

    . I ( )

    . F

    .

    2

    E -

    I T S

    -

    -

    ,

    .

    3

    S

    . E -

    ( ,

    : / / . - -

    . ) . A

    . E -

  • 7/23/2019 Smart City 03

    5/47

    2 1 7

    -

    .

    1

    T -

    . T ,

    ,

    ( . . ,

    , G I S

    -

    , )

    ,

    .

    1 / 2

    T

    . T

    ,

    . B

    ; ,

    E ,

    E

    .

    L :

    0 =

    1 = ,

    2 = ,

    3 = ,

    4 = , E U

    5 = ,

    -

    4

    C

  • 7/23/2019 Smart City 03

    6/47

    2 1 8

    -

    , ,

    , -

    . T -

    -

    ,

    .

    4

    T

    E

    E U . T ,

    ,

    .

    3

    S

    , ,

    . T

    ,

    E

    C M

    ( M , V K

    2 0 1 1 ) .

    4

    A

    E

    .

    3

    C -

    E T S I ,

    E . S

    -

    I C T

    I T S . T -

    E .

    4

    D

    -

    E . S

    . D

  • 7/23/2019 Smart City 03

    7/47

    2 1 9

    -

    E

    -

    . E -

    .

    4

    T

    .

    T ,

    .

    4

    T

    . T

    .

    4

    T

    E

    . M

    .

    4

    T

    . M

    E ,

    .

    4

    T

    ,

    M

    S . D

    ,

  • 7/23/2019 Smart City 03

    8/47

    2 2 0

    -

    .

    L :

    0 =

    1 = ,

    2 = ,

    3 = ,

    4 = , E U

    5 = ,

    Delivery Point 1

    Courier

    Courier Service

    Provider

    UMTS / LTE / 3G / WI-FI

    Internet

    Trip planning

    service provider

    Internet

    Internet

    Consignee system

    Web application that can be used from anydevice having browser environment

    Devices may vary f rom desktop PCs to mobile

    devices (e.g. mart phones)

    Mobile (optionally location-aware) device andapplication for pushing notifications to the

    consignee

    Signing the delivery with RFID enabled smartphone by reading smart tag in the parcel.

    Delivery Point 2

    Back office (courier service

    provider)

    Manages and op timizes thedeliveries and its fleet exploiting

    consignees shared future time & place

    scheduling and keeps consignee up-

    to-date of the delivery progress and

    gives an estimation of the delivery timeand place

    Courier service provider may have

    own trip planning application or it may

    use third party cloud services for fleetoptimization

    The progress of t he deliveries by the

    fleet is monitored using location

    technologies, RFID based smart

    tagging, wireless communications

    Real-time adjustments to deliveryplans are conveyed to consignees

    smart phones using wireless, IPv6

    based, communications.

    Courier system Satellite navigation system with hybrid positioning covering the shadows

    Trip planning system that gets up-to-date information about traffic, updates on real-time adjustments on the delivery destinations androutes. May be based on stand alone navigator system getting updates from Internet vie wireless communications.

    In-car terminal and op tional mobile terminal f or trip planning and fleet management.

    In-car sys tem automatically recognizes delivery when RFID tag is read when moving delivery f rom the vehicle

    5 0 : .

    ( S : P . 2 0 1 2 )

    1

    S

  • 7/23/2019 Smart City 03

    9/47

    2 2 1

    ,

    .

    1

    T

    .

    1

    T

    .

    1

    T

    . T

    ,

    .

    2

    L

    ,

    .

    H ,

    .

    1

    M

    ,

    .

    L :

    0 =

    1 = ,

    2 = ,

  • 7/23/2019 Smart City 03

    10/47

    2 2 2

    3 = ,

    4 = , E U

    5 = ,

    0

    T

    .

    0

    N

    .

    1

    S

    .

    1

    T

    - -

    .

    T

    .

    1

    I

    ,

    .

    0

    T

    .

    1

    S

    ,

    .

    L :

    0 =

    1 = ,

    2 = ,

    3 = ,

    4 = , E U

    5 = ,

  • 7/23/2019 Smart City 03

    11/47

    2 2 3

    1

    D

    . I

    . R

    . H ,

    .

    2

    T

    . T ,

    ,

    R F I D

    .

    1

    T I C T

    .

    1

    T

    . H ,

    -

    .

    1

    T

    ,

    .

  • 7/23/2019 Smart City 03

    12/47

    2 2 4

    1

    T

    . T

    . B

    ; ,

    E ,

    E

    .

    L :

    0 =

    1 = ,

    2 = ,

    3 = ,

    4 = , E U

    5 = ,

    0

    T

    .

    0

    N

    .

    0

    T

    .

    0

    N

    ;

    .

    0

    T

    - .

    0

    S ,

  • 7/23/2019 Smart City 03

    13/47

    2 2 5

    ,

    .

    1

    T

    .

    0

    N

    .

    1

    S

    ,

    .

    0

    D

    .

    1

    T

    ,

    .

    L :

    0 =

    1 = ,

    2 = ,

    3 = ,

    4 = , E U

    5 = ,

  • 7/23/2019 Smart City 03

    14/47

    2 2 6

    .

    . .

    Back office system in T

    Back off ice collects the traffic data from RSUs

    Internet of Things technologies (including M2M In addition to management of RSUs and vehicl

    GIS databases massive real time s atio-tem o

    5 1 : .

    ( S : P . 2 0 1 2 )

    . .

    0

    N

    .

    0

    T

    .

    1

    T

    . T

    . H ,

  • 7/23/2019 Smart City 03

    15/47

    2 2 7

    .

    1

    M

    . T

    .

    1

    M

    E .

    1

    T

    ,

    .

    L :

    0 =

    1 = ,

    2 = ,

    3 = ,

    4 = , E U

    5 = ,

    0

    T

    .

    1

    T

    . T

    0

    N

    .

  • 7/23/2019 Smart City 03

    16/47

    2 2 8

    1

    I

    .

    1

    N

    -

    -

    .

    1

    M

    .

    1

    T ,

    .

    L :

    0 =

    1 = ,

    2 = ,

    3 = ,

    4 = , E U

    5 = ,

    1

    T

    . T

    .

    1

    W ,

    . T

    . T

  • 7/23/2019 Smart City 03

    17/47

    2 2 9

    .

    1

    C

    .

    1

    E

    D C S . T

    -

    .

    1

    E

    .

    1

    T

    . T

    . B

    ; ,

    E ,

    E

    .

    L :

    0 =

    1 = ,

    2 = ,

    3 = ,

    4 = , E U

    5 = ,

    1 I

  • 7/23/2019 Smart City 03

    18/47

    2 3 0

    .

    0

    N

    .

    1

    U

    -

    . S

    .

    0

    N

    .

    1

    S

    ,

    S M E

    .

    1

    N

    ( )

    .

    1

    I

    .

    0

    N

    .

    1

    W

    ,

    -

    .

    1

    P

    . A ,

    .

  • 7/23/2019 Smart City 03

    19/47

    2 3 1

    1

    T

    ,

    .

    L :

    0 =

    1 = ,

    2 = ,

    3 = ,

    4 = , E U

    5 = ,

  • 7/23/2019 Smart City 03

    20/47

    2 3 2

    5 2 : .

    ( S : P . 2 0 1 2 )

    2

    P

    ,

    . T

    ( : / / . - -

    . )

    .

    0

    N

    .

    2

    I

  • 7/23/2019 Smart City 03

    21/47

    2 3 3

    ,

    . T

    -

    E U

    ( L , C , T 2 0 1 2 ) . T

    I S A

    .

    3

    I

    ,

    .

    3

    S

    ( R O S A T T E

    ) . I

    . I -

    E

    .

    2 / 3

    T

    . T

    .

    L :

    0 =

    1 = ,

    2 = ,

    3 = ,

    4 = , E U

    5 = ,

  • 7/23/2019 Smart City 03

    22/47

    2 3 4

    0

    T

    .

    2

    H

    ,

    ,

    .

    0

    T

    .

    4

    T

    E

    . P

    .

    4

    T

    . T

    .

    2

    M

    . T

    ( : / / . - -

    . ) .

    2 / 4

    T

    ,

    .

    L :

    0 =

    1 = ,

    2 = ,

    3 = ,

  • 7/23/2019 Smart City 03

    23/47

    2 3 5

    4 = , E U

    5 = ,

    0

    I

    . W

    ,

    . W

    ,

    .

    3

    M I S A (

    )

    . F

    I S A ,

    ( A

    2 0 0 9 ; C . 2 0 0 9 ) .

    3

    T I S A ( I S A )

    I C T

    . T

    -

    , G

    P S ( G P S )

    . T

    .

    4

    T

    . S

    E U 2 7 4 . 5 - 1 2 . 6 %

    2 . 6 - 9 . 5 %

    ( W .

    2 0 0 8 ) .

    0

    T

    .

  • 7/23/2019 Smart City 03

    24/47

    2 3 6

    3

    A

    . T

    ,

    E . O

    ; ,

    E ,

    E

    .

    L :

    0 =

    1 = ,

    2 = ,

    3 = ,

    4 = , E U

    5 = ,

    0

    T

    ,

    .

    3

    T

    -

    ,

    .

    0

    N

    .

  • 7/23/2019 Smart City 03

    25/47

    2 3 7

    3

    C

    E

    R O S A T T E ( E R T I C O 2 0 1 2 ) . R

    ( F 2 0 1 2 )

    R O S A T T E

    .

    3

    S

    .

    3

    N

    . T

    .

    3

    N

    . E

    R O S A T T E .

    0

    N

    .

    3

    I

    E . A ,

    ,

    I C T .

    1

    T

    ( W

    . 2 0 0 8 ) . T ,

    .

    3

    T ,

    . S

    E

  • 7/23/2019 Smart City 03

    26/47

    2 3 8

    .

    L :

    0 =

    1 = ,

    2 = ,

    3 = ,

    4 = , E U

    5 = ,

  • 7/23/2019 Smart City 03

    27/47

    2 3 9

    Payment operator

    Parkingbroker

    ParkingoperatorsTIC / TCC

    Trip planningservice operator

    Parking control

    Open / roadside parking

    Access controlled

    parking

    Internet

    UMTS / LTE / 3G / WI-FI

    Transport service

    operator

    Roadside station, sensors

    Camera monitoring

    & surveillance

    Park &Ride

    E.g.,802.11p

    NFC based

    Identification &

    payment

    NFC based

    identification &

    ticketless payment

    ParkingService

    Collect static and dynamic real-time

    information from all parking operators

    (commercial & cities)

    Provides parking information as a service

    for car drivers and handles reservations as

    well as payments together with Payment

    operator

    GIS system w/ spatio-temporal transaction

    capabilities including all static and dynamicparking place information

    Trip Planning

    Parking is a part of trip planning that helps

    users to find (available) parking places and

    navigate to there In addition, multi-modal journey p lanning

    with park & ride scenarios are supported

    Trip planning utilizes real-time info rmation

    and predictions as a basis of parking place

    selection

    Parking places

    Access contro lled parking places have barriers that are

    controlled remotely or locally and are connected to

    identification and/or payment activities

    Open parking p laces are prone to parking violations and

    thus parking enforcement is needed. Different kind ofsensors and road side units may support parking

    enforcement as well as parking monitoring and payments.

    TIC / TCC

    Authorities and traffic management

    exploits information about parking

    monitoring and may control remotely

    dynamic road signs etc.

    Payment

    Universal mobile p ayments or t ravel

    cards covering all modalities of mobility

    in addition to parking as well as several

    options f or pricing schemes

    Based on NFC

    On-Trip Planning & Guidance

    On-trip scenarios and ad hoc parking needs are

    fulf illed with on-trip planning based on real-time data

    of parking place availability.

    User interaction while driving must be realized in asafe and eff icient way, e.g., by using audio UIs

    Fixed in-car terminal alone is inadequate solutionfor multi-modal journey planning and guidance

    complement / replace with mobile solution

    In-car terminal, OBU, sensors, OBD,

    GPS + hybrid positioning,

    mobile and wirelesscommunications

    Parking

    enforcement

    Parking enforcement Easy way to detect parkingviolations, e.g., with NFC

    technology

    5 3 : .

    ( S : P . 2 0 1 2 )

    1

    T

    ;

    (

    ) ;

    ; ,

    E

    ( ) . There ispotential to foster innovation in the field of

  • 7/23/2019 Smart City 03

    28/47

    2 4 0

    ITS services associated to smart parking.This would in turn contribute to global growthand go beyond local level impacts.

    1

    I ,

    . I

    E .

    1

    T

    ,

    E . T

    ,

    .

    1

    S I C T

    .

    4

    C

    E ,

    . T

    ,

    .

    1

    D

    ,

    ,

    . T

    .

    L :

    0 =

    1 = ,

  • 7/23/2019 Smart City 03

    29/47

    2 4 1

    2 = ,

    3 = ,

    4 = , E U

    5 = ,

    0

    T

    .

    1

    T ,

    .

    O

    .

    1

    T ,

    ,

    . Onthe other hand fewer jobs needed for

    manual onsite enforcement. A

    .

    3

    T

    . I

    . T

    ,

    .

    4

    O , E

    . U

    .

    3

    D

    ,

    ,

  • 7/23/2019 Smart City 03

    30/47

    2 4 2

    .

    1 / 3

    S - ,

    .

    L :

    0 =

    1 = ,

    2 = ,

    3 = ,

    4 = , E U

    5 = ,

    1

    W , - -

    . T , ,

    ,

    .

    1

    B

    ,

    . H ,

    .

    3

    T

    ,

    . I C T

    .

  • 7/23/2019 Smart City 03

    31/47

    2 4 3

    0

    T

    .

    2

    T

    ,

    .

    1 / 2

    T

    . T

    ,

    . B

    ; ,

    E ,

    E

    .

    L :

    0 =

    1 = ,

    2 = ,

    3 = ,

    4 = , E U

    5 = ,

    3

    A ,

    , ,

  • 7/23/2019 Smart City 03

    32/47

    2 4 4

    - .

    T

    .

    1

    O

    .

    I , -

    ,

    ,

    ( )

    .

    1

    T

    , E

    .

    4

    T

    E

    &

    ,

    (

    , , . ) . I

    .

    3

    A

    -

    ,

    . N

    .

    4

    E

    . K

    ,

    .

  • 7/23/2019 Smart City 03

    33/47

    2 4 5

    4

    S

    ,

    ( , ,

    . )

    ,

    .

    3

    I ,

    .

    B

    ,

    .

    1

    T

    I C T

    . A ,

    .

    2

    B

    ,

    .

    H ,

    ( )

    (

    ) .

    1 / 4

    T

    E U -

    -

    . I

    ,

    . T

    T E N - T

    E .

    L :

  • 7/23/2019 Smart City 03

    34/47

    2 4 6

    0 =

    1 = ,

    2 = ,

    3 = ,

    4 = , E U

    5 = ,

  • 7/23/2019 Smart City 03

    35/47

    2 4 7

    .

    . .

    5 4 : .

    ( S : P . 2 0 1 2 )

    . .

    0

    T

    .

    0

    T

    .

    0

    N

    .

    0

    N

  • 7/23/2019 Smart City 03

    36/47

    2 4 8

    .

    4

    I

    E

    .

    4

    E

    E

    .

    L :

    0 =

    1 = ,

    2 = ,

    3 = ,

    4 = , E U

    5 = ,

    0

    D

    .

    0

    D

    .

    0

    T

    .

    1

    T

    .

    4

    U

    - -

    E ,

    .

    0 T

  • 7/23/2019 Smart City 03

    37/47

    2 4 9

    .

    1 / 4

    S ,

    , .

    P

    .

    L :

    0 =

    1 = ,

    2 = ,

    3 = ,

    4 = , E U

    5 = ,

    0

    M

    .

    0

    M

    .

    0

    M

    .

    0

    M

    .

    0

    M

    .

    0

    T

    .

    L :

    0 =

    1 = ,

    2 = ,

    3 = ,

    4 = , E U

    5 = ,

  • 7/23/2019 Smart City 03

    38/47

    2 5 0

    0

    T

    .

    0

    T

    .

    0

    T

    .

    4

    R

    E U

    .

    4

    I E U

    .

    4

    T

    E

    -

    . T

    .

    0

    T

    .

    0

    D

    .

    0

    D

    .

    0

    D

    .

    4

    T

    ,

    .

  • 7/23/2019 Smart City 03

    39/47

    2 5 1

    L :

    0 =

    1 = ,

    2 = ,

    3 = ,

    4 = , E U

    5 = ,

  • 7/23/2019 Smart City 03

    40/47

    2 5 2

    5 5 : .

    ( S : P . 2 0 1 2 )

    0

    T . I

    .

    0

    T

    . T

    .

    0

    S ,

    .

    0 T

  • 7/23/2019 Smart City 03

    41/47

    2 5 3

    . I

    .

    2

    T

    . I

    .

    2

    E

    ,

    .

    L :

    0 =

    1 = ,

    2 = ,

    3 = ,

    4 = , E U

    5 = ,

    2

    T

    . I ,

    . P

    .

    2

    U

    .

    0

    T

  • 7/23/2019 Smart City 03

    42/47

    2 5 4

    .

    2

    T

    .

    2

    T

    ,

    .

    2

    T

    ,

    . E

    .

    2

    T

    ,

    .

    L :

    0 =

    1 = ,

    2 = ,

    3 = ,

    4 = , E U

    5 = ,

  • 7/23/2019 Smart City 03

    43/47

    2 5 5

    1

    T N F C

    . T

    .

    1

    P ,

    ,

    .

    2

    M

    . T

    , , I C T

    R F I D

    N F

    C ( N F C )

    .

    0

    T

    . .

    2

    M

    . F

    .

    1 / 2

    E ,

    . T

    ,

    .

    B

    ,

    ; ,

    E ,

    E

    .

  • 7/23/2019 Smart City 03

    44/47

    2 5 6

    L :

    0 =

    1 = ,

    2 = ,

    3 = ,

    4 = , E U

    5 = ,

    2

    I

    .

    0

    N ,

    .

    3

    M

    ,

    .

    2

    S

    .

    3

    N

    . T

    .

    3

    S

    .

    2

    I

    .

    0

    T

    .

    0

    N

    .

  • 7/23/2019 Smart City 03

    45/47

    2 5 7

    2

    M

    .

    2 / 3

    T

    ,

    . B

    .

    L :

    0 =

    1 = ,

    2 = ,

    3 = ,

    4 = , E U

    5 = ,

  • 7/23/2019 Smart City 03

    46/47

    E u r o p e a n C o m m i s s i o n

    I C T c o n c e p t s f o r o p t i m i z a t i o n o f m o b i l i t y i n S m a r t C i t i e s

    L u x e m b o u r g , P u b l i c a t i o n s O f f i c e o f t h e E u r o p e a n U n i o n

    2 0 1 3 1 3 3 p a g e s

    I S B N 9 7 8 - 9 2 - 7 9 - 2 8 7 1 6 - 9

    D O I : 1 0 . 2 7 5 9 / 9 7 5 7 0

  • 7/23/2019 Smart City 03

    47/47

    K

    K

    -

    3

    0

    -

    1

    3

    -

    2

    7

    8

    -

    E

    N

    -

    N