[1]于明鹭,刘南杰,赵海涛,等. 基于车联网的智能打车系统[J].计算机技术与发展,2016,26(02):118-123.
　YU Ming-lu,LIU Nan-jie,ZHAO Hai-tao,et al. Intelligent Taxi Service System Based on Internet of Vehicle[J].,2016,26(02):118-123.
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 基于车联网的智能打车系统()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
26
期数:
2016年02期
页码:
118-123
栏目:
应用开发研究
出版日期:
2016-02-10

文章信息/Info

Title:
 Intelligent Taxi Service System Based on Internet of Vehicle
文章编号:
1673-629X（2016)02-0118-06
作者:
 于明鹭; 刘南杰; 赵海涛; 彭江琴
1. 南京邮电大学 通信与信息工程学院；2. 南京邮电大学 网络基因工程研究所
Author(s):
 YU Ming-lu; LIU Nan-jie; ZHAO Hai-tao; PENG Jiang-qin
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
Keywords:
 ; IOV; taxi system; intelligent vehicle terminal; vehicle cloud; Global Intelligent iDentity (GID)
分类号:
TP393
文献标志码:
A
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。
Abstract:
 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 serv-ice systems. In this paper,aiming at the existed problems,propose an intelligent taxi service system based on Carrier-Cloud-Client frame-work of IOV for the first time. Basically,the system employs an advanced intelligent vehicle terminal,a powerful cloud platform and prac-tical 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,driv-er 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.

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更新日期/Last Update: 2016-04-15