期刊文献+

基于车联网的智能打车系统 被引量:1

Intelligent Taxi Service System Based on Internet of Vehicle
下载PDF
导出
摘要 由于出租车的数量管制,以及出租车行业一直没有一个有效的调配系统,导致交通拥塞、时间浪费和耗油量增加。而车联网(Internet Of Vehicle,IOV)的迅速发展,给传统出租车行业带来了新的契机。在该背景下,针对国内出租车行业出现的问题,提出基于车联网中管-云-端架构的智能打车系统。该系统采用新型车载智能终端,功能强大的云平台和实用的客户端应用。从终端信息感知、数据处理到顶层的应用展示来进行模块化功能描述和分析。该系统能显著提高用户满意度、司机积极性和整体运营性能。最后,通过将该智能打车系统应用于现实场景证明了它的价值。结果表明,该系统的服务性能优于现存的多数打车系统。 Taxi number control and inefficient dispatching system lead to many serious problems,such as traffic congestion,time wasting and increase in oil consumption. The rapid development of Internet Of Vehicle( IOV) brings a golden opportunity to traditional taxi service systems. In this paper,aiming at the existed problems,propose an intelligent taxi service system based on Carrier- Cloud- Client framework of IOV for the first time. Basically,the system employs an advanced intelligent vehicle terminal,a powerful cloud platform and practical client applications. Specifically,a hierarchical model is presented as an architecture to modularize the system,spanning from terminal sensing and data processing to the topmost service presentation. The proposed system can significantly improve customer satisfaction,driver enthusiasm and business performance. Finally,the value of the intelligent taxi service system is demonstrated by applying it to some scenarios in the real word. The result shows that this system outperforms most existing taxi service systems with respect to the service quality.
出处 《计算机技术与发展》 2016年第2期118-123,共6页 Computer Technology and Development
基金 国家自然科学基金资助项目(61302100) 国家"973"重点基础研究发展计划项目(2013CB329005) 教育部博士点基金资助项目(20133223120002) 南京邮电大学科研基金(NY211006)
关键词 车联网 打车系统 车载智能终端 车云 汽车智慧感知与通信终端 IOV taxi system intelligent vehicle terminal vehicle cloud Global Intelligent iD entity(GID)
  • 相关文献

参考文献15

  • 1Dow Chyi-Ren, I_e Yu-Hong, Wang Shr-Chen, et al. A geo- aware location based taxi carrying system [ C ]//Proc of ITNG. Las Vegas, NV : IEEE ,2014:53-58.
  • 2迪纳科技.车小二产品主打胶片[EB/OL].(2012-12-21)[2015-04-01].http://www.cpsdna.com/article-157.html.
  • 3刘南杰.崛起的车联网[J].音响改装技术,2013(11):50-50. 被引量:4
  • 4Shi W, Liu Y. Real-time urban traffic monitoring with global positioning system - equipped vehicles [ J ]. Intelligent Trans- port Systems ,2010,4 (2) : 113-120.
  • 5Liang Xiao, Zheng Xudong, Lv Weifeng, et al. The scaling of human mobility by taxis is exponential[ J]. Physical A:Statis- tical Mechanics and Its Applications, 2011,391 ( 5 ) : 2135 - 2144.
  • 6Jiang B, Yin J, Zhao S. Characterizing human mobility patterns in a large street network [ J ]. Physical Review E, 2009,80 (2) :021136.
  • 7Yuan J, Zheng Y, Zhang L, et al. Where to find my next pas- senger[ C]//Proe of ubiquitous computing. New York, NY, USA : ACM ,2011.
  • 8Liu Siyuan, Pu Jiansu, Luo Qiong, et al. VAIT: a visual analyt- ics system for metropolitan transportation [ J ]. IEEE Trans on Intelligent Transportation Systems ,2013,14 (4) : 1586-1596.
  • 9Wu Wei, Siong N W, Krishnaswamy S, et al. To taxi or not to taxi? - enabling personalised and real-time transportation de- cisions for mobile users [ C ]//Proc of 13th international conf on mobile data management. Bengaluru, Karnataka: IEEE, 2012.
  • 10Zhang Daqing, Sun Lin, Li Bin, et al. Understanding taxi serv- ice strategies from taxi GPS traces[ J ]. IEEE Trans on Intelli- gent Transportation Systems,2015,16 ( 1 ) : 123-135.

二级参考文献8

共引文献6

同被引文献1

引证文献1

二级引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部