Online Traffic Accident Spatial-Temporal Post-Impact Prediction Model on Highways Based on Spiking Neural Networks

Algorithm 2

Multi-ReSuMe-based classifier.

(1)	Definition
(2)	Historic accident dataset
(3)	accident data in where
(4)	the minimum value of network error to reach when learning is considered converged
(5)	synaptic weight between all neurons
(6)	maximum number of iterations
(7)	Initialization
(8)	Initial synaptic weight with random value
(9)	For iteration 1, M do
(10)	For do
(11)	Encode to a series of spike trains
(12)	Set membrane potential of all neurons to the resting potential (set to 0)
(13)	Pass input spike trains to the network and find actual output spike
(14)	Calculate network error
(15)	Compute weight modifications for all layers according to equation (2) and equation (4)
(16)	Update synaptic weight
(17)	End for
(18)	Calculate summed network error
(19)	While