Fuzzy control has been used in the traffic schedule field for a
long time. In this paper we take novel coordination fuzzy control
and use genetic algorithm to evolve the proposed fuzzy control
rules. By using genetic algorithm we can update the fuzzy control
query set while the NeverStop system is running and it does great
help to improve the system performance.
Conventionalfuzzy control methods determine congestion state
only use the ‘critical flow’ of current phase and the next phase. We
calculate the average waiting time of the cars and then determine
which one to use – the critical one or the non-critical one.