01663605

Component

The accuracy of vehicle trajectory is having the potential impact on estimating various macro and microscopic traffic flow parameters. Most of the available trajectory reconstruction methods failed to preserve the actual vehicle dynamics corresponding to the longitudinal and the lateral dimensions of the vehicle movement. The lateral dynamics are extensive in the heterogeneous traffic streams due to the no-lane disciplined behaviour. The lateral dynamics along with the longitudinal dynamics in the no-lane based traffic streams necessitates a separate reconstruction method for heterogeneous traffic streams. The present study proposes a novel approach to reconstruct the trajectory data obtained from heterogeneous, no-lane based traffic stream by considering the longitudinal and the lateral dynamics. The basic tool of the reconstruction considered in the present study is the Locally Weighted Polynomial Regression (LWPR). The results show that the proposed method reconstruct the vehicle trajectories in such a way that the actual distance travelled by the vehicle, speed and acceleration are internally and physically consistent. The method also ensures the consistency of the position, speed and the acceleration in longitudinal and lateral dimensions.

This paper was sponsored by TRB committee AHB45 Standing Committee on Traffic Flow Theory and Characteristics.

18-02559

English

7p

2018

Transportation Research Board 97th Annual Meeting

Digital/other

Figures; References; Tables

Linear regression analysis; Motor vehicle dynamics; Polynomials; Traffic models; Vehicle trajectories

Highways; Operations and Traffic Management

Transportation Research Board Annual Meeting 2018 Paper #18-02559

TRIS, TRB, ATRI

Jan 8 2018 10:37AM