Generating a Vehicle Trajectory Database from Time-Lapse Aerial Photography

The advancing art of microsimulation modeling is driving a growing interest in vehicle trajectory databases. These can be rich sources of travel information, providing origin–destination patterns, path choices, travel times or delays, and lane changing behavior. These metrics have historically been difficult to acquire, and even with the approach of the big-data era, it remains a challenge to collect high-quality, granular vehicle trajectory data. This paper describes how use of state-of-the-practice time-lapse aerial photography (TLAP), acquired continuously for up to several hours at 1-s frame rates, can produce trajectory data sets with high granularity. These surveys involve the use of airborne digital cameras held in stationary positions about one mile above the ground, to record the movement of virtually all highway vehicles in defined study areas. In this paper, TLAP’s differences from similar military imaging capabilities, such as wide-area motion imagery, are discussed, to explain how TLAP can be...