Swarm intelligence algorithms for macroscopic traffic flow model validation with automatic assignment of fundamental diagrams
Evolutionary and swarm intelligence algorithms are applied to the traffic flow model calibration problem. Algorithms versatility is exploited to replace expert knowledge. Automatic spatial assignment of fundamental diagrams of traffic flow. Proposed solution method is designed to be simulator independent. Particle swarm is the most efficient search method for this problem.
traffic flow model parameter estimation intelligent transportation systems particle swarm optimisation genetic algorithms cuckoo search