NDLI: A Study of Comfort Measuring System Using Taxi Trajectories

Content Provider	IEEE Xplore Digital Library
Author	Li-Ping Tung Tsung-Hsun Chien Ting-An Wang Cheng-Yu Lin Shyh-Kang Jeng Ling-Jyh Chen
Copyright Year	2011
Abstract	The comfort of rides has been identified as one of the top criteria that affects passengers' satisfaction with public transportation systems. Conventional comfort measurement approaches rely on professional measure tools or interviews from passengers, which are costly, time-consuming, and not yet feasible. The concept of Internet of Things (IoT) is a new solution to answer this problem. The idea of IoT is to interconnect state-of-the-art digital products in physical world to provide more powerful applications. Vehicles equipped with GPS devices and wireless access technologies are parts of the IoT elements in traffic networks. We use the GPS data to measure the comfort level of vehicle rides, and provide a detailed comfort statistics as a value added service. Using real data collected from one of the Taipei taxi service providers, we show that over 95% taxi trajectories are viewed as comfortable. In addition, rides without passengers get higher comfort scores than with passengers. We also give the rankings of all taxi drivers according to a number of criteria, such as the comfort score and the number of loads. With the ranking results, we can track back to the trajectories and infer drives' driving behaviors, road conditions, and traffic conditions. We believe that the proposed solution has the potential to provide a representative comfort measurement service for taxi services and additional value-added services for public transportation systems.
Starting Page	877
Ending Page	882
File Size	263601
Page Count	6
File Format	PDF
ISBN	9781457718755
ISSN	15219097
e-ISBN	9780769545769
DOI	10.1109/ICPADS.2011.14
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-07
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vehicles Trajectory Global Positioning System Acceleration Sun Roads Participatory Sensing Comfort Measurement Taxi Trajectory Internet of Things GPS
Content Type	Text
Resource Type	Article
Subject	Hardware and Architecture

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