This　paper　describes　the　driver＇s　vehicle　behavior　as　the　response　of　an　intelligent　body　according　to　the　environment　and　situation,　and　describes　the　characteristics　of　macro-traffic　flow　through　the　response　of　each　independent　intelligent　body,　providing　a　basis　for　intelligent　driving　and　intelligent　control.　First,　the　adaptability　description　is　carried　out　with　the　behavior　of　single-lane　vehicles.　Three　driving　states　are　defined　and　their　driving　behaviors　and　decision-making　rules　are　analyzed　based　on　the　driver＇s　expectation　objectives.　The　simulation　is　realized　by　using　the　mathematical　description　the　Boid　model　method　of　Couzin　et　al.　[6][7][8].　The　simulation　results　show　that　the　behavior　change　of　the　individual　adaptive　driving　vehicle　is　completely　consistent　with　the　characteristics　of　the　macro-traffic　flow,　and　the　cooperative　characteristics　of　the　group　intelligence　are　presented.　Individual　driving　vehicles　show　good　adaptability　and　self-drive　to　the　change　of　environment　and　current　traffic　condition.　The　change　of　individual　driving　behavior　of　the　vehicle　will　have　an　impact　on　the　adjacent　local　vehicle　individuals.　The　change　of　traffic　density　affects　the　speed　of　traffic　flow.　Bad　driving　behavior　will　affect　the　speed　of　local　or　even　the　whole　traffic　flow　on　the　road,　which　will　lead　to　the　closing　and　splitting　of　the　vehicle　queue.　In　serious　cases,　the　vehicle　queue　will　stop　and　stop,　leading　to　the　decrease　of　the　road　capacity.　©　2018　IEEE.