SAR: A social-aware route recommendation system for intelligent transportation

Jiaqi Wang; Yunyao Lu; Xiaojie Wang; Jing Dong; Xiping Hu

doi:10.1093/comjnl/bxy042

SAR: A social-aware route recommendation system for intelligent transportation

Jiaqi Wang, Yunyao Lu, Xiaojie Wang, Jing Dong, Xiping Hu^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

6 Citations (Scopus)

Abstract

Driving is an important part in daily life. But it is also dangerous when people drive in a bad mood or when people are tired. In this paper, we propose SAR, a novel social aware route recommendation system, which is designed to recommend proper routes to drivers to help diminish negative mood and fatigue and help improve driving experience. SAR integrates multiple sources of sensing data from smartphones to recommend a proper route to the driver considering the driver’s real-time mood-fatigue, history record, and social information. Experiments have been conducted with SAR to demonstrate the system’s effectiveness as well as reasonable computation and communication overheads on smartphones.

Original language	English
Pages (from-to)	987-997
Number of pages	11
Journal	Computer Journal
Volume	61
Issue number	7
DOIs	https://doi.org/10.1093/comjnl/bxy042
Publication status	Published - 1 Jul 2018
Externally published	Yes

Keywords

Application
Intelligent transportation systems
Route recommendation
Social-aware

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10.1093/comjnl/bxy042

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title = "SAR: A social-aware route recommendation system for intelligent transportation",

abstract = "Driving is an important part in daily life. But it is also dangerous when people drive in a bad mood or when people are tired. In this paper, we propose SAR, a novel social aware route recommendation system, which is designed to recommend proper routes to drivers to help diminish negative mood and fatigue and help improve driving experience. SAR integrates multiple sources of sensing data from smartphones to recommend a proper route to the driver considering the driver{\textquoteright}s real-time mood-fatigue, history record, and social information. Experiments have been conducted with SAR to demonstrate the system{\textquoteright}s effectiveness as well as reasonable computation and communication overheads on smartphones.",

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AU - Wang, Jiaqi

AU - Lu, Yunyao

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AU - Dong, Jing

AU - Hu, Xiping

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AB - Driving is an important part in daily life. But it is also dangerous when people drive in a bad mood or when people are tired. In this paper, we propose SAR, a novel social aware route recommendation system, which is designed to recommend proper routes to drivers to help diminish negative mood and fatigue and help improve driving experience. SAR integrates multiple sources of sensing data from smartphones to recommend a proper route to the driver considering the driver’s real-time mood-fatigue, history record, and social information. Experiments have been conducted with SAR to demonstrate the system’s effectiveness as well as reasonable computation and communication overheads on smartphones.

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KW - Route recommendation

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SAR: A social-aware route recommendation system for intelligent transportation

Abstract

Keywords

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