@inproceedings{38d8fdc6fa24421da12cd77edcf4a066,
title = "Data visualization tool for monitoring transit operation and performance",
abstract = "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.",
keywords = "GPS bus data, data analysis, performance measures, travel time, visualization, web-based tools",
author = "Abdullah Kurkcu and Fabio Miranda and Kaan Ozbay and Silva, {Claudio T.}",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2017 ; Conference date: 26-06-2017 Through 28-06-2017",
year = "2017",
month = aug,
day = "8",
doi = "10.1109/MTITS.2017.8005584",
language = "English (US)",
series = "5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2017 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "598--603",
booktitle = "5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2017 - Proceedings",
}