Using stationary image based data collection method for evaluation of traffic sign condition

• Main Authors: Majid Khalilikhah, Vahid Balali, Kevin Heaslip
• Format: Article
• Language: English
• Published: Elsevier 2016-12-01
• Series: International Journal of Transportation Science and Technology
• Subjects: Road infrastructure; Traffic sign retroreflectivity; Handheld retroreflectometer; Computer vision; Remote sensing
• Online Access: http://www.sciencedirect.com/science/article/pii/S2046043016300429

Transportation asset management helps monitor the transportation systems and optimize the construction, operation, and maintenance of assets. Many state Department of Transportations (DOTs) have already established asset management systems for high cost and low quantity assets, e.g., bridge and tunnel assets. However, due to the sheer number of traffic signs deployed by DOTs, statewide sign inventory and condition information are not well developed. Currently, using handheld devices is the most selected method by agencies to measure signs. To address safety challenge and high cost of data collection, an innovative stationary image based method has recently been proposed. This paper discusses the advantages and disadvantages of such image based method over using handheld devices in terms of the accuracy, possibility and consistency of data, speed, safety, maintenance, and cost. At its completion, this study provides suggestions to tackle the issues associated with image based method.