Language:
English
繁體中文
Help
回圖書館首頁
手機版館藏查詢
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Assessing urban transportation with ...
~
Yang, Dongyuan.
Linked to FindBook
Google Book
Amazon
博客來
Assessing urban transportation with big data analysis
Record Type:
Electronic resources : Monograph/item
Title/Author:
Assessing urban transportation with big data analysis/ by Dongyuan Yang, Zhengyu Duan.
Author:
Yang, Dongyuan.
other author:
Duan, Zhengyu.
Published:
Singapore :Springer Nature Singapore : : 2022.,
Description:
xxxviii, 317 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:
Rational Thinking of Big Data "Fever" -- Urban Transportation Monitoring Based on the Concept of Complex Adaptive System -- Inheritance and Transformation of Technology -- Feature Extraction, Cluster Analysis and Object Representation -- Correlation Analysis and Research -- Information Fusion and Establishing of Evidence Collection -- Nesting Analysis of Big Data and Small Sample Data -- Conclusion and Prospect.
Contained By:
Springer Nature eBook
Subject:
Urban transportation - Data processing. -
Online resource:
https://doi.org/10.1007/978-981-19-3338-7
ISBN:
9789811933387
Assessing urban transportation with big data analysis
Yang, Dongyuan.
Assessing urban transportation with big data analysis
[electronic resource] /by Dongyuan Yang, Zhengyu Duan. - Singapore :Springer Nature Singapore :2022. - xxxviii, 317 p. :ill. (some col.), digital ;24 cm. - Urban sustainability,2731-6491. - Urban sustainability..
Rational Thinking of Big Data "Fever" -- Urban Transportation Monitoring Based on the Concept of Complex Adaptive System -- Inheritance and Transformation of Technology -- Feature Extraction, Cluster Analysis and Object Representation -- Correlation Analysis and Research -- Information Fusion and Establishing of Evidence Collection -- Nesting Analysis of Big Data and Small Sample Data -- Conclusion and Prospect.
This book chiefly focuses on urban traffic, an area supported by massive amounts of data. The application of big data to urban traffic provides strategic and technical methods for the multi-directional and in-depth observation of complex adaptive systems, thus transforming conventional urban traffic planning and management methods. Sharing valuable insights into how big data can be applied to urban traffic, it offers a valuable asset for information technicians, traffic engineers and traffic data analysts alike.
ISBN: 9789811933387
Standard No.: 10.1007/978-981-19-3338-7doiSubjects--Topical Terms:
3378558
Urban transportation
--Data processing.
LC Class. No.: HE305
Dewey Class. No.: 388.4028557
Assessing urban transportation with big data analysis
LDR
:01980nmm a2200337 a 4500
001
2304505
003
DE-He213
005
20220919093326.0
006
m d
007
cr nn 008maaau
008
230409s2022 si s 0 eng d
020
$a
9789811933387
$q
(electronic bk.)
020
$a
9789811933370
$q
(paper)
024
7
$a
10.1007/978-981-19-3338-7
$2
doi
035
$a
978-981-19-3338-7
040
$a
GP
$c
GP
041
1
$a
eng
$h
chi
050
4
$a
HE305
072
7
$a
RNU
$2
bicssc
072
7
$a
SCI026000
$2
bisacsh
072
7
$a
RNU
$2
thema
082
0 4
$a
388.4028557
$2
23
090
$a
HE305
$b
.Y22 2022
100
1
$a
Yang, Dongyuan.
$3
3606773
245
1 0
$a
Assessing urban transportation with big data analysis
$h
[electronic resource] /
$c
by Dongyuan Yang, Zhengyu Duan.
260
$a
Singapore :
$b
Springer Nature Singapore :
$b
Imprint: Springer,
$c
2022.
300
$a
xxxviii, 317 p. :
$b
ill. (some col.), digital ;
$c
24 cm.
490
1
$a
Urban sustainability,
$x
2731-6491
505
0
$a
Rational Thinking of Big Data "Fever" -- Urban Transportation Monitoring Based on the Concept of Complex Adaptive System -- Inheritance and Transformation of Technology -- Feature Extraction, Cluster Analysis and Object Representation -- Correlation Analysis and Research -- Information Fusion and Establishing of Evidence Collection -- Nesting Analysis of Big Data and Small Sample Data -- Conclusion and Prospect.
520
$a
This book chiefly focuses on urban traffic, an area supported by massive amounts of data. The application of big data to urban traffic provides strategic and technical methods for the multi-directional and in-depth observation of complex adaptive systems, thus transforming conventional urban traffic planning and management methods. Sharing valuable insights into how big data can be applied to urban traffic, it offers a valuable asset for information technicians, traffic engineers and traffic data analysts alike.
650
0
$a
Urban transportation
$x
Data processing.
$3
3378558
650
0
$a
Big data.
$3
2045508
650
1 4
$a
Sustainability.
$3
1029978
650
2 4
$a
Urban Policy.
$3
3538480
650
2 4
$a
Data Analysis and Big Data.
$3
3538537
650
2 4
$a
Transportation Technology and Traffic Engineering.
$3
2153276
700
1
$a
Duan, Zhengyu.
$3
3606774
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer Nature eBook
830
0
$a
Urban sustainability.
$3
3597125
856
4 0
$u
https://doi.org/10.1007/978-981-19-3338-7
950
$a
Social Sciences (SpringerNature-41176)
based on 0 review(s)
Location:
ALL
電子資源
Year:
Volume Number:
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
W9446054
電子資源
11.線上閱覽_V
電子書
EB HE305
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login