Abstract
While pedestrian related incidents at intersections are not so popular in developed countries, there are always potential conflicts between pedestrians and right-turn motor vehicles. Other potential conflicts include those between right-turn vehicles and stopped through movement vehicles encroaching crosswalks. All these are potential threats to pedestrians, and affect their comfort and safety. The relationships between potential conflicts and the causing factors are very complicated and nonlinear, which can hardly be depicted by simple models. In this paper, the intelligent fuzzy table look-up scheme is employed to model such relationships. The constructed fuzzy system is based on the rule base from observed data, which is intelligent and very helpful for field engineers to quickly screen pedestrian-related potential conflicts. A case study in Houston, TX, USA illustrates the modeling procedure, and shows the model validations. With more surveillance data collected, the rule base and fuzzy system could be even better improved.
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