Time-Driven Scheduling Based on Reinforcement Learning for Reasoning Tasks in Vehicle Edge Computing

Table 2

Constraint parameters of simulation experiment.

Parameter	Value
Task data volume	3–5Mbits
Task complexity	1200–3000 megacycles
Vehicle computing power	1-2GPOS
Edge node transmission rate	100–120Mbits/s
Edge node computing power	10–15GPOS
Number of scene edge nodes	1–4