Understanding the patterns of car travel

被引：76

作者：

Pappalardo, Luca ^{[1
,2
]}

Rinzivillo, Salvatore ^{[1
]}

Qu, Zehui ^{[1
,3
]}

Pedreschi, Dino ^{[2
]}

Giannotti, Fosca ^{[1
]}

机构：

[1] CNR, ISTI, KDDLab, I-56100 Pisa, Italy

[2] Univ Pisa, Dept Comp Sci, KDDLab, I-56100 Pisa, Italy

[3] Southwest Univ, Coll Comp & Informat Sci, Chongqing, Peoples R China

来源：

EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS | 2013年 / 215卷 / 01期

关键词：

TRAFFIC FLOW;

D O I：

10.1140/epjst/e2013-01715-5

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

Are the patterns of car travel different from those of general human mobility? Based on a unique dataset consisting of the GPS trajectories of 10 million travels accomplished by 150,000 cars in Italy, we investigate how known mobility models apply to car travels, and illustrate novel analytical findings. We also assess to what extent the sample in our dataset is representative of the overall car mobility, and discover how to build an extremely accurate model that, given our GPS data, estimates the real traffic values as measured by road sensors.

引用

页码：61 / 73

页数：13

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