01664110

Component

Driver behavior studies often require the analysis of highly specific and customized observational data attributes. Due to the complex nature of behavioral data collection, typically requiring some degree of customization depending on the study, there is a lack of generic tools available to transportation professionals to assist in the data collection process. This paper presents a python-based software application “GT-MVP” designed to provide a user-friendly interface to collect complex video-based traffic data. GT-MVP’s graphical user interface allows users to play multiple videos and operate them synchronously using common controls, to review the extracted data in real-time, and to correct errors easily. GT-MVP has been used to collect data to study vehicle’s blocking behavior at intersections. Compared to previous approaches used to collect behavioral data required for this study, GT-MVP took 65 % lesser time and reduced the missed detection rate. GT-MVP interface can be modified to collect complex traffic data for different traffic studies and can also be used to improve efficiency of collection of basic traffic data such as vehicle counts and is available to the community as an open source software.

This paper was sponsored by TRB committee ABJ35 Standing Committee on Highway Traffic Monitoring.

18-05443

English

13p

2018

Transportation Research Board 97th Annual Meeting

Digital/other

Figures; Photos; References

Data collection; Graphical user interfaces; Traffic data; Video

GT-MVP (Software)

Data and Information Technology; Highways; Operations and Traffic Management

Transportation Research Board Annual Meeting 2018 Paper #18-05443

TRIS, TRB, ATRI

Jan 8 2018 11:23AM