01515178

Component

Pedestrian crossing at intersection is always a safety issue which has to be deliberated on roadway systems. While pedestrian related incidents at intersections, there are always types of conflict event between pedestrians and right-turn motor-vehicles. Other types of conflict event are encroaching performance by right-turn vehicles and stopped through movement vehicles. All these are potential threats to pedestrians, affecting the comfort and safety of pedestrians. The relationships between conflict events and the causing factors are very complicated and nonlinear, that can hardly be depicted by simply models. In this research, the fuzzy table look-up scheme is employed to model the conflict events of pedestrian crossings at intersections. The constructed fuzzy system is mainly based on the rule base that is generated from observed input-output real data pairs. A case study in Houston, TX, USA illustrates the modeling procedure, which shows that the model validation accuracies are basically satisfied. With more surveillance data collected, the rule base and fuzzy system could be even improved.

This paper was sponsored by TRB committee ANF10 Pedestrians.

01503729

14-1769

English

17p

2014

Transportation Research Board 93rd Annual Meeting

Digital/other

Figures; References; Tables

Field studies; Fuzzy algorithms; Intersections; Pedestrian movement; Pedestrian safety; Pedestrian vehicle interface; Pedestrians; Signalized intersections; Traffic conflicts; Traffic safety

Houston (Texas)

Highways; Pedestrians and Bicyclists; Planning and Forecasting; Safety and Human Factors; I72: Traffic and Transport Planning; I83: Accidents and the Human Factor

Transportation Research Board Annual Meeting 2014 Paper #14-1769

TRIS, TRB, ATRI

Jan 27 2014 2:38PM