Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/61225
Title: Characterizing traffic conditions from the perspective of spatial-temporal heterogeneity
Authors: Gao, P
Liu, Z
Tian, K
Liu, G
Keywords: CRG index
Fractal
Head/tail breaks
Ht-index
Rank-size plot
Issue Date: 2016
Publisher: Molecular Diversity Preservation International (MDPI)
Source: ISPRS international journal of geo-information, 2016, v. 5, no. 3, 34 How to cite?
Journal: ISPRS international journal of geo-information 
Abstract: Traffic conditions are usually characterized from the perspective of travel time or the average vehicle speed in the field of transportation, reflecting the congestion degree of a road network. This article provides a method from a new perspective to characterize traffic conditions; the perspective is based on the heterogeneity of vehicle speeds. A novel measurement, the ratio of areas (RA) in a rank-size plot, is included in the proposed method to capture the heterogeneity. The proposed method can be performed from the perspective of both spatial heterogeneity and temporal heterogeneity, being able to characterize traffic conditions of not only a road network but also a single road. Compared with methods from the perspective of travel time, the proposed method can characterize traffic conditions at a higher frequency. Compared to methods from the perspective of the average vehicle speed, the proposed method takes account of the heterogeneity of vehicle speeds. The effectiveness of the proposed method has been demonstrated with real-life traffic data of Shenzhen (a coastal urban city in China), and the advantage of the proposed RA has been verified by comparisons to similar measurements such as the ht-index and the CRG index.
URI: http://hdl.handle.net/10397/61225
ISSN: 2220-9964 (eISSN)
DOI: 10.3390/ijgi5030034
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

1
Last Week
0
Last month
Citations as of Sep 11, 2017

WEB OF SCIENCETM
Citations

1
Last Week
0
Last month
Citations as of Sep 14, 2017

Page view(s)

23
Last Week
5
Last month
Checked on Sep 18, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.