TY - GEN
T1 - Data visualization tool for monitoring transit operation and performance
AU - Kurkcu, Abdullah
AU - Miranda, Fabio
AU - Ozbay, Kaan
AU - Silva, Claudio T.
N1 - Funding Information:
The contents of this paper only reflect views of the authors who are responsible for the facts and accuracy of the data and results presented herein. The contents of the paper do not necessarily reflect the official views or policies of sponsoring agencies. The work presented is partially funded by New York City Department of Transportation (NYCDOT), UTRC, UrbanMITS laboratory of the UrbanITS center at the NYU’s Tandon School of Engineering.
Publisher Copyright:
© 2017 IEEE.
PY - 2017/8/8
Y1 - 2017/8/8
N2 - Using the automated vehicle location data combined with other technologies such as automated incident reporting, transit decision makers can now execute a variety of real-time strategies and performance evaluations. In this study, we show that it is possible to develop an easy to use but powerful web-based tool which acquires, stores, processes, and visualizes bus trajectory data. The developed web-based tool makes it easy for the end users to access stored data and to query it without any delay or external help. Moreover, the tool allows the users to conduct a series of data visualization and analysis operations demonstrating the potential of a such web-based tool for future applications.
AB - Using the automated vehicle location data combined with other technologies such as automated incident reporting, transit decision makers can now execute a variety of real-time strategies and performance evaluations. In this study, we show that it is possible to develop an easy to use but powerful web-based tool which acquires, stores, processes, and visualizes bus trajectory data. The developed web-based tool makes it easy for the end users to access stored data and to query it without any delay or external help. Moreover, the tool allows the users to conduct a series of data visualization and analysis operations demonstrating the potential of a such web-based tool for future applications.
KW - GPS bus data
KW - data analysis
KW - performance measures
KW - travel time
KW - visualization
KW - web-based tools
UR - http://www.scopus.com/inward/record.url?scp=85030239393&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85030239393&partnerID=8YFLogxK
U2 - 10.1109/MTITS.2017.8005584
DO - 10.1109/MTITS.2017.8005584
M3 - Conference contribution
AN - SCOPUS:85030239393
T3 - 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2017 - Proceedings
SP - 598
EP - 603
BT - 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2017 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2017
Y2 - 26 June 2017 through 28 June 2017
ER -