The　traffic　control　process　is　of　time-variation,　thus　the　timing　control　method　is　greatly　limited.　To　obtain　better　control　results,　the　intelligent　control　based　on　synergetic　neural　network　(SNN)　in　this　paper　conduct　pattern　classification　on　the　entire　dynamic　process,　adopting　different　control　strategies　on　different　patterns.　As　for　the　time-variation　of　the　dynamic　characters　in　the　traffic　control　process,　the　method　is　to　conduct　pattern　recognition　and　classification　control　on　the　dynamic　characters　by　the　SNN　algorithm　of　prototype　pattern.　By　providing　a　simulative　example　of　traffic　signal　control,　it　can　be　proved　that　the　application　of　the　SNN　algorithm　in　traffic　control　is　successful.　©　2010　IEEE.