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A Context-Aware Paratransit System

机译:一个背景感知的划分系统

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摘要

In recent years, paratransit is a very important transportation for serving disabilities. Currently, the dispatching center has arranged for driver's tasks which carry passengers. The operators are difficult to efficiently monitor each vehicle's attendance and diving state. The rate of vehicular utilization is low and the problem of service inefficiency appears. Passengers cannot know the arrival status of paratransit during the waiting time and their family cannot see to keep tracking condition of their disabled on the paratransit. Therefore, it is worthy to improve in satisfying users' demand. This thesis proposes a WAVE/DSRC based and Context-Aware paratransit system. WAVE/DSRC provides the local information with small-scale area to serve the local's requests and further create the location based service. The paratransit quickly transmits its own information to the operator via WAVE/DSRC, which keep track of diving location as the violation reason for determining the vehicle service efficiency. The passenger can directly establish communication with paratransit, dynamically show the latest paratransit location and listen paratransit arrival status at the right moment through the sound. Besides, Users' context would be captured and analyzed for different person's activity using the built-in accelerometer of smartphone when users are doing the same activity. According to these data's difference, it can achieve the customized prompt service. Even if users is an inconvenience to use a smartphone, they can also satisfy users' expectancy.
机译:近年来,PARATRANSIT是服务残疾的非常重要的运输。目前,调度中心已安排驾驶员携带乘客的任务。运营商难以有效地监控每个车辆的出勤率和潜水状态。车辆利用率低,出现了服务低效率的问题。乘客无法知道在等待时间期间划分的划分的到达状态,他们的家庭无法看到在Paratransit上继续跟踪他们残疾的条件。因此,值得改善满足用户的需求。本论文提出了一种基于Wave / DSRC和上下文感知的Paratransit系统。 Wave / DSRC提供具有小规模区域的本地信息,以提供本地的请求,并进一步创建基于位置的服务。 Paratransit将其自身信息通过Wave / DSRC快速传输到操作员,该潜水地点跟踪潜水​​地点作为确定车辆服务效率的违规原因。乘客可以直接与Paratransit建立沟通,动态地显示最新的划分位置,并在正确的时刻通过声音聆听Paratransit到达状态。此外,当用户正在进行相同的活动时,使用智能手机的内置加速度计将捕获并分析用户的上下文。根据这些数据的差异,它可以实现定制的提示服务。即使用户对使用智能手机的不便,它们也可以满足用户的期望。

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