Integrating discrete choice models with MATSim scoring

Agent-based transport simulations rely on realistic representation of agents’ movements in the system, but also simulation choice making processes that resemble reality well. The MATSim framework uses scoring-based co-evolutionary algorithm to achieve this, based principle utility maximization. Discrete models are another common tool planning which same principle. Through a toy example, paper at hand shows direct use discrete parameters is not technically sound approach, consistent integration can be achieved by generating deterministic pseudo-errors cryptographic hash functions. Further caveats with integrating scoring discussed.