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Table 3 Simulation algorithm variables

From: A trust-based framework for vehicular travel with non-binary reports and its validation via an extensive simulation testbed

Parameter name Description Representation Default value
Majority N Number of agents used in a majority opinion. MajN # (10 is 10 agents used) 10
Honest trust increase α Standard increment to an agent’s trust resulting from an honesty evaluation, with a maximum value of 1.0. α # (0.1 is 10% trust increase) 0.1
Dishonest trust decrease β Standard decrement to an agent’s trust resulting from an honesty evaluation, with a minimum value of 0.0. β # (0.2 is 20% trust decrease) 0.2
Advice trust threshold Threshold where only agents with a trust value above this percent may be considered for advice. AThresh # (0.41 is 41% trust threshold) 0.41
Majority confidence threshold Threshold which the majority opinion must be above in order to be considered. MThresh # (0.51 is 51% majority threshold) 0.51
Role penalization Standard factor for increasing confidence depending on agent role. RPenal # 8
Time penalization Standard comparison factor for time closeness. TPenal # 90
Location penalization Standard comparison factor for location closeness. LPenal # 200
Indirect penalization Standard factor for modifying confidence if the advice is indirect. InPenal # 1
Congestion weight Standard factor for weighting the congestion value when calculating a road’s A* cost. CongWeight # 20