01557807

Component

Space headway measurement and computation, as the premise of safe driving, plays an important role in identifying surrounding obstacles and understanding traffic scene. However, the performance of existing methods is limited by the complexity of computer processing and unsatisfactory results. In addition, it is quite difficult to obtain space headway at turn movement trajectories, mainly owing to the limitation of rectilinear propagation. In light of this, a mathematical method based on quadratic spline curve and Newton-Cotes numerical integration was proposed in this paper. The mathematical method can be applied to estimate distance of the front vehicle and vehicle trajectory. The space headway at turn movement trajectories was analogous to the track of a vehicle, which could be fitted by quadratic spline curve. Newton-Cotes numerical integration was employed to calculate distance, and it was enough to address the question due to its meshing flexibility and ease of implementation. Data collected from Lankershim Boulevard in the Universal City neighborhood of Los Angeles were used to evaluate performance of the mathematical method. The results were compared with another algorithm based on computer vision and trilinear method. It showed that the proposed model worked successfully and outperformed the competing method in terms of accuracy and reliability.

This paper was sponsored by TRB committee AHB65 Operational Effects of Geometrics.

01550057

15-2137

English

17p

2015

Transportation Research Board 94th Annual Meeting

Digital/other

Figures; References; Tables

Following distance; Headways; Mathematical methods; Splines; Trajectory; Turning traffic; Vehicle spacing

Los Angeles (California)

Highways; Operations and Traffic Management; I71: Traffic Theory

Transportation Research Board Annual Meeting 2015 Paper #15-2137

TRIS, TRB, ATRI

Dec 30 2014 12:46PM