Feasibility Analysis of Transportation Applications Based on APls of Social Network Services

被引:0
作者
Byon, Young-Ji [1 ]
Jeong, Young Seon [2 ]
Easa, Said M. [3 ]
Baek, Joonsang [4 ]
机构
[1] Khalifa Univ Sci Technol & Res, Dept Civil Engn, Abu Dhabi, U Arab Emirates
[2] Khalifa Univ Sci Technol & Res, Dept Ind & Syst Engn, Abu Dhabi, U Arab Emirates
[3] Ryerson Univ, Dept Civil Engn, Toronto, ON M5B 2K3, Canada
[4] Khalifa Univ Sci Technol Res, Dept Elect Comp Engn, Abu Dhabi, U Arab Emirates
来源
2013 8TH INTERNATIONAL CONFERENCE FOR INTERNET TECHNOLOGY AND SECURED TRANSACTIONS (ICITST) | 2013年
关键词
component; Social Network Service; Carpooling; Traffic Monitoring; Collision Reporting; Facebook; Twitter; Flickr; Smart phone;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
With increasing ownership of smartphones and membership of various social network services (SNS), new types of Advanced Traveler Information Systems (A TIS) has become available to travelers. The smartphone enables mobile users to input and access real-time information while SNSs provide voluntarily collected personal information among networks of friends. Internet of Things (loT) philosophy can be applied for connecting smartphone users for various transportation applications. This paper develops Facebook-based carpooling, and proposes Twitter-based traffic monitoring and Flickr-based incident reporting applications. The SNS services provide application programming interfaces (A PIs) that allow external users to access their databases. The APls provide a basis for the development of transportation applications for each service. Facebook can allow a group of friends to share a ride based on their attributes which are available in their personal information sections. Twitter can be used for sharing traffic conditions on the roads. Flickr can be customized as a geo-tagged collision reporting tool with real-time close-up photos of traffic collisions. It is found that available APls are useful for implementing SNS-based transportation applications. It is also found that search times for carpooling partners vary with multiple factors: time-of-day, number of potential partners, and desired tolerance levels for location and time.
引用
收藏
页码:59 / +
页数:2
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