Smart Personalized Routing For Smart Cities

被引：18

作者：

Hendawi, Abdeltawab M. ^{[1
]}

Rustum, Aqeel ^{[2
]}

Ahmadain, Amr A. ^{[1
]}

Hazel, David ^{[3
]}

Teredesai, Ankur ^{[3
]}

Oliver, Dev ^{[4
]}

Ali, Mohamed ^{[3
]}

Stankovic, John A. ^{[1
]}

机构：

[1] Univ Virginia, Charlottesville, VA 22903 USA

[2] Saudi Aramco, Dh, Saudi Arabia

[3] Univ Washington, Tacoma, WA USA

[4] ESRI, Redlands, CA USA

来源：

2017 IEEE 33RD INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE 2017) | 2017年

关键词：

D O I：

10.1109/ICDE.2017.172

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In smart cities, commuters have the opportunities for smart routing that may enable selecting a route with less car accidents, or one that is more scenic, or perhaps a straight and flat route. Such smart personalization requires a data management framework that goes beyond a static road network graph. This paper introduces PreGo, a novel system developed to provide real time personalized routing. The recommended routes by PreGo are smart and personalized in the sense of being (1) adjustable to individual users preferences, (2) subjective to the trip start time, and (3) sensitive to changes of the road conditions. Extensive experimental evaluation using real and synthetic data demonstrates the efficiency of the PreGo system.

引用

页码：1295 / 1306

页数：12

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