Assessing Pedestrian Crossing Risk at Signalised Intersection

Pedestrian are most at risk when crossing a road section with a large amount of pedestrian-vehicle interaction. Thus, an understanding of the complex interaction between pedestrian behaviour, signal setting and environment is essential to assess the contribution of these factors to pedestrian accidents. The complexity of these interactions could possibly been described and explored using a powerful and flexible model. The new approach in modelling to produce pedestrian crossing risk index using Petri Nets is introduced in this paper. The proposed model is served as an alternative method to the classical statistical approach in assessing pedestrian crossing risk at signalised intersection. The risk assessment is viewed holistically as an interacting system of subsequent event in an accident process. Observation on the critical signalised crossing and accident history data are used in the development of this risk