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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 |
Issue Date: | 2016 | Source: | ISPRS international journal of geo-information, Mar. 2016, v. 5, no. 3, 34 | 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. | Keywords: | CRG index Fractal Head/tail breaks Ht-index Rank-size plot |
Publisher: | Molecular Diversity Preservation International (MDPI) | Journal: | ISPRS international journal of geo-information | ISSN: | 2220-9964 (eISSN) | DOI: | 10.3390/ijgi5030034 | Rights: | © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/). The following publication Gao, P.; Liu, Z.; Tian, K.; Liu, G. Characterizing Traffic Conditions from the Perspective of Spatial-Temporal Heterogeneity. ISPRS Int. J. Geo-Inf. 2016, 5, 34, 1-11 is available at https://dx.doi.org/10.3390/ijgi5030034 |
Appears in Collections: | Journal/Magazine Article |
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Gao_Traffic_Spatial-temporal_Heterogeneity.pdf | 1.9 MB | Adobe PDF | View/Open |
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