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

共 26 条

[1] CONCEPT OF RADIUS OF GYRATION IN GENERAL-RELATIVITY [J].

ABRAMOWICZ, MA ;

MILLER, JC ;

STUCHLIK, Z .

PHYSICAL REVIEW D, 1993, 47 (04) :1440-1447

[2]

[Anonymous], TECHNICAL REPORT

[3] Statistical laws in urban mobility from microscopic GPS data in the area of Florence [J].

Bazzani, Armando ;

Giorgini, Bruno ;

Rambaldi, Sandro ;

Gallotti, Riccardo ;

Giovannini, Luca .

JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT, 2010,

[4] The scaling laws of human travel [J].

Brockmann, D ;

Hufnagel, L ;

Geisel, T .

NATURE, 2006, 439 (7075) :462-465

[5]

Donate J.P., 2011, NEURAL COMPUT APPL, V10, P1

[6]

Friedman JH., 1995, INT C ART NEUR NETW

[7]

Garber NicholasJ., 1999, TRAFFIC HIGHWAY ENG

[8] Bayesian time-series model for short-term traffic flow forecasting [J].

Ghosh, Bidisha ;

Basu, Biswajit ;

O'Mahony, Margaret .

JOURNAL OF TRANSPORTATION ENGINEERING, 2007, 133 (03) :180-189

[9]

Giannotti F., 2008, MOBILITY DATA MINING

[10] Unveiling the complexity of human mobility by querying and mining massive trajectory data [J].

Giannotti, Fosca ;

Nanni, Mirco ;

Pedreschi, Dino ;

Pinelli, Fabio ;

Renso, Chiara ;

Rinzivillo, Salvatore ;

Trasarti, Roberto .

VLDB JOURNAL, 2011, 20 (05) :695-719

← 1 2 3 →