首页> 外文会议>2018 15th International Symposium on Pervasive Systems, Algorithms and Networks >AR-based Taxi Recommendation by Leveraging Crowd Sharing Comments
【24h】

AR-based Taxi Recommendation by Leveraging Crowd Sharing Comments

机译:利用人群共享评论的基于AR的出租车推荐

获取原文
获取原文并翻译 | 示例

摘要

In recent years, with the growth of sharing economy where everyone can serve as a provider to offer various services, business models are different from the past. The most representative of them is Uber, which provides passengers with transparent information, such as driver rating and driving path, to let them trust drivers. However, Uber is not legal in Taiwan, so most of people needing transportation servers choose to take taxis. When people take taxis, they usually worry about safety, driver's driving habits, irregular billing, and detour. Therefore, we develop a taxi recommendation platform for passengers to select taxis based on the comments shared by previous passengers. Before users get into taxis, they can get taxi's ratings by means of AR with plate recognition technology and obtain the estimations of taxi fares. Besides, our platform is able to warn users of the divergence of driving routes during they are taking taxis. Finally, users can leave comments and ratings with respect to drivers via our platform after they get out taxis.
机译:近年来,随着共享经济的发展(每个人都可以充当提供各种服务的提供商),商业模式与以往不同。其中最具代表性的是优步,它为乘客提供了透明的信息,例如驾驶员等级和驾驶路线,以使他们信任驾驶员。但是,Uber在台湾是非法的,因此大多数需要运输服务器的人都选择乘出租车。人们乘坐出租车时,通常会担心安全性,驾驶员的驾驶习惯,不规则的计费和绕道行驶。因此,我们开发了出租车推荐平台,供乘客根据前位乘客的评论选择出租车。在用户上车之前,他们可以通过具有车牌识别技术的AR获得出租车的等级,并获得出租车费用的估算值。此外,我们的平台还可以警告用户乘坐出租车时驾驶路线的差异。最后,下车后,用户可以通过我们的平台对驾驶员发表评论和评分。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号