Bayesian Network-Based Knowledge Graph Inference for Highway Transportation Safety Risks

Table 1

Bayesian network nodes for road transportation risk knowledge.

Final state	Risk category	Primary risk sources
A accident	V vehicle	V1 braking system; V2 steering system; V3 light signal system; V4 tires; V5 overload or unbalanced load
	D driver	D1 drunk driving; D2 fatigue driving; D3 distracted driving; D4 traffic violations; D5 improper emergency response; D6 inexperienced driving
	R road	R1 roadsides; R2 bridge and tunnel; R3 alignment; R4 intersections; R5 pavements; R6 signs and markings; R7 sight distance; R8 safety protection facilities
	E environment	E1 interference from traffic accidents; E2 severe weather; E3 natural disasters; E4 night lighting
	M management	M1 dynamic monitoring; M2 regulations; M3 private contracting