Spatiotemporal traffic network analysis: technology and applications

Spatiotemporal traffic network analysis: technology and applications Knowl Inf Syst https://doi.org/10.1007/s10115-018-1225-7 SURVEY PAPER Spatiotemporal traffic network analysis: technology and applications 1 2 Huiyu Zhou · Kotaro Hirasawa Received: 13 September 2017 / Accepted: 22 May 2018 © Springer-Verlag London Ltd., part of Springer Nature 2018 Abstract The rapid development of intelligent transportation systems and the emergence of the sharing economy have given rise to vast amounts of spatiotemporal data. Consequently, spatiotemporal traffic network analysis has become a crucial approach to traffic managers in traffic control, route guidance, traffic policy adjustment, and transportation network plan- ning. This study provides a comprehensive survey of recent developments in spatiotemporal traffic network analysis and reviews the latest research ranging from 2000 to 2016. This paper focuses on overall methods and general characteristics involved in traffic network analysis. First, we introduce some potential applications of spatiotemporal traffic network analysis. Second, we discuss data sources and corresponding pretreatment methods. Then, we investi- gate various existing methodologies to examine the state of the art in traffic network analysis. At the end of this survey, we provide more detailed discussions on future research challenges and new research points. Keywords Spatiotemporal database · Traffic network analysis · Spatiotemporal traffic pattern · Traffic networks 1 Introduction http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Knowledge and Information Systems Springer Journals

Spatiotemporal traffic network analysis: technology and applications

Loading next page...
 
/lp/springer_journal/spatiotemporal-traffic-network-analysis-technology-and-applications-C5rtOWh9B5
Publisher
Springer London
Copyright
Copyright © 2018 by Springer-Verlag London Ltd., part of Springer Nature
Subject
Computer Science; Information Systems and Communication Service; Database Management; Data Mining and Knowledge Discovery; Information Storage and Retrieval; Information Systems Applications (incl.Internet); IT in Business
ISSN
0219-1377
eISSN
0219-3116
D.O.I.
10.1007/s10115-018-1225-7
Publisher site
See Article on Publisher Site

Abstract

Knowl Inf Syst https://doi.org/10.1007/s10115-018-1225-7 SURVEY PAPER Spatiotemporal traffic network analysis: technology and applications 1 2 Huiyu Zhou · Kotaro Hirasawa Received: 13 September 2017 / Accepted: 22 May 2018 © Springer-Verlag London Ltd., part of Springer Nature 2018 Abstract The rapid development of intelligent transportation systems and the emergence of the sharing economy have given rise to vast amounts of spatiotemporal data. Consequently, spatiotemporal traffic network analysis has become a crucial approach to traffic managers in traffic control, route guidance, traffic policy adjustment, and transportation network plan- ning. This study provides a comprehensive survey of recent developments in spatiotemporal traffic network analysis and reviews the latest research ranging from 2000 to 2016. This paper focuses on overall methods and general characteristics involved in traffic network analysis. First, we introduce some potential applications of spatiotemporal traffic network analysis. Second, we discuss data sources and corresponding pretreatment methods. Then, we investi- gate various existing methodologies to examine the state of the art in traffic network analysis. At the end of this survey, we provide more detailed discussions on future research challenges and new research points. Keywords Spatiotemporal database · Traffic network analysis · Spatiotemporal traffic pattern · Traffic networks 1 Introduction

Journal

Knowledge and Information SystemsSpringer Journals

Published: May 31, 2018

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create lists to
organize your research

Export lists, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off