A Comfort Measuring System for Public Transportation Systems Using Participatory Phone Sensing . Cheng-Yu Lin 1 , Ling-Jyh Chen 1 , Ying-Yu Chen 1 , and Wang-Chien Lee 2 1 Academia Sinica, Taiwan 2 The Pennsylvania State University at University Park, USA. What are people doing on the bus?.
Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.
Cheng-Yu Lin1, Ling-Jyh Chen1, Ying-Yu Chen1, and Wang-Chien Lee2
1Academia Sinica, Taiwan
2The Pennsylvania State University at University Park, USA
Comfort does matter!!
Problems: Cost, Timeliness, and Scalability
Question: how about let’s combine the participatory phone sensing and top-down data collection model?
Public Transportation Systems
(e.g. locations, acceleration, and time)
(e.g. bus trajectories and vehicle properties)
Data Mashup and Statistics
Scoring and ranking results
Phone Sensing Using Participatory Phone Sensing
Authorized Data Using Participatory Phone Sensing
Di= average ( , )
We suppose the user is on the b-th bus, s.t. b = arg Min Di
4,028 buses, 287 routes, 15 agencies, and 1 sample per minute
Results(3/3) - Using Participatory Phone Sensing The Statistics based on Buses Agencies
http:// Using Participatory Phone Sensing VProbe.org/
Thanks for Your Attention!