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AR-based Taxi Recommendation by Leveraging Crowd Sharing Comments

机译:基于AR的出租车推荐通过利用人群分享评论

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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,随着分享经济的增长,每个人都可以作为提供各种服务提供的提供商,商业模式与过去不同。他们最具代表性的是优步,为乘客提供透明信息,例如驾驶员评级和驾驶道路,让他们信任驱动程序。然而,优步在台湾不合法,因此需要运输服务器的大多数人选择乘出租车。当人们拿到出租车时,他们通常会担心安全,驾驶员的驾驶习惯,不规则的计费和绕道。因此,我们为乘客制定出租车推荐平台,以根据以前乘客共享的意见选择出租车。在用户进入出租车之前,他们可以通过带板识别技术的AR获得出租车的评分,并获得出租车票价的估计。此外,我们的平台能够警告用户在服用出租车期间发出驾驶路线的分歧。最后,用户可以通过我们的平台留出司机的评论和评分,然后出租车后。

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