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?.
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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
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) - The Statistics based on Buses Agencies
Thanks for Your Attention!