01656843

Component

The safety evaluation using reactive approach (conventional method) requires crash data of several years. However, in developing countries like India, the reliability and accuracy of the available accident data are highly questionable. Hence more effective and proactive safety evaluation technique is required. Therefore, the objective of this work is to propose proactive surrogate safety measures based methodology to quantify pedestrian safety at the unsignalized intersections in India. The main advantage of the proximal safety indicator is the incorporation of the conflicts more frequently than the actual accidents, which results in the effective, statistically significant and reliable proximal measure of traffic safety. The Post Encroachment Time (PET) is used as a proximal safety indicator in this study. The required pedestrian-vehicle conflicts were extracted manually from the videographic survey conducted at an unsignalized intersection. The conflicts were grouped as highly severe conflict, severe conflict, and normal conflict according to the behavior of the participants of the conflicts (pedestrian & vehicle). For each type of the vehicle class, the threshold PET values of each conflict group (highly severe conflict, severe conflict, and normal conflict) were obtained using Support Vector Machine algorithm. This paper describes the effect of vehicle type and the vehicle approaching speed on the severity of the conflict under non-lane based mix traffic condition. Additionally, it also sets the threshold PET values for highly severe conflict, severe conflict, and normal conflict which can be used for the prediction of the severity of the conflict at unsignalized intersections in India.

This paper was sponsored by TRB committee ABE90 Standing Committee on Transportation in the Developing Countries.

18-02052

English

8p

2018

Transportation Research Board 97th Annual Meeting

Digital/other

Figures; References; Tables

Developing countries; Machine learning; Methodology; Pedestrian safety; Safety; Traffic conflicts; Unsignalized intersections; Vehicle mix

Conflict severity; Surrogate safety measures

India

Highways; Operations and Traffic Management; Pedestrians and Bicyclists; Planning and Forecasting; Safety and Human Factors

Transportation Research Board Annual Meeting 2018 Paper #18-02052

TRIS, TRB, ATRI

Jan 8 2018 10:30AM