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.