Agent Simulation for Sign Influence Evaluation

The patent applies local quality by making the sign influence parameter agent-specific rather than uniform. Each agent has individual attributes (age, gender, purpose of visit) that modify how they respond to signs. The influence calculation incorporates agent-specific parameters β1, β2, β3 that represent different sensitivities to display modes, creating localized quality in the interaction between signs and different agent types.

The patent changes parameters by introducing agent-specific influence parameters (β1, β2, β3) that modify the base influence values. These parameters vary according to agent attributes such as age, gender, and purpose of visit, allowing the system to dynamically adjust the strength and nature of sign influence based on the specific agent being simulated, thereby improving measurement precision without excessive complexity.

The patent implements local quality by tailoring the sign influence calculation to each agent's specific attributes. Different agent types (children, adults, elderly, different genders, different purposes of visit) have customized influence parameters that reflect their unique characteristics. This allows precise evaluation of how different display modes affect different agent groups while maintaining a structured approach that manages complexity.

The patent manages device complexity by using parameter changes rather than completely different calculation models. The base influence framework remains the same, but agent-specific parameters (β1, β2, β3) are applied as modifiers based on agent attributes. This approach improves measurement precision by capturing individual differences while avoiding the complexity of entirely separate simulation models for each agent type.