A Method for Acquiring Highly Reliable Pedestrian Trip Data Using Smart Phone

Abstract

Smart phone allows easy acquisition of pedestrian trip data. Consequently, it is expected that pedestrian trip data will be utilized in some fields such as disaster response and transportation. Depending on the uses such as disaster situations, accurate pedestrian trip data on the real-time basis is required. However, the location information acquired from GPS sensor of respective smart phone exhibit unevenness in the accuracy and contain plenty of noises since they differ from each other depending on the surrounding environments or models. There is a possibility that analysis of enormous amounts of pedestrian trip data can handle the problem mentioned above. However, this is not satisfactory for the uses in emergency as it lacks real-time performance. In this research, we devised a method of noise reduction by using PDOP, circular error probability, and pedestrian trip data in order to acquire three-dimensional location information with high certainty in real time from pedestrian trip data acquired by smart phone. Then this method was applied to the probe-person research data to verify its usefulness.