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Title:

A Comparison of Regular and Thermal Cameras for Traffic Data Collection under Varying Lighting and Temperature Conditions in Multimodal Environments

Accession Number:

01590327

Record Type:

Component

Abstract:

Collecting traffic data was traditionally limited to technologies such as inductive loops at fixed locations, though loops do not capture all road user types. Vision-based monitoring systems using simple video cameras can complement or substitute conventional sensors and provide rich positional and classification data. Recently, new camera technologies, including thermal cameras, have become available and may improve the performance of digital video-based sensors. However, the performance of thermal cameras under various lighting and temperature conditions has rarely been evaluated at multimodal facilities including intersections, where road user classification is required. The purpose of this study is to evaluate the performance of thermal video sensors under varying lighting and temperature conditions for the detection, classification, and speed measurement of road users. For this purpose, thermal and regular video data was collected simultaneously under different conditions across multiple sites. The regular camera narrowly outperformed the thermal camera in terms of detection and classification of all road users during daytime conditions. However, the detection rate dropped significantly for pedestrians and cyclists at night for the regular camera. Importantly, the thermal video performs acceptably during daytime, with a miss rate around 5%. Speed measurements by the thermal camera were consistently more accurate than for the regular video at daytime and nighttime. The thermal videos are insensitive to lighting interference and pavement temperature, and solve the issues associated with visible light cameras for traffic data collection, especially for pedestrians and cyclists.

Supplemental Notes:

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

Monograph Accession #:

01584066

Report/Paper Numbers:

16-2846

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Fu, Ting
Stipancic, Joshua
Zangenehpour, Sohail
Miranda-Moreno, Luis
Saunier, Nicolas

Pagination:

18p

Publication Date:

2016

Conference:

Transportation Research Board 95th Annual Meeting

Location: Washington DC, United States
Date: 2016-1-10 to 2016-1-14
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Subject Areas:

Data and Information Technology; Highways; I72: Traffic and Transport Planning

Source Data:

Transportation Research Board Annual Meeting 2016 Paper #16-2846

Files:

TRIS, TRB, ATRI

Created Date:

Jan 12 2016 5:16PM