Scenario　simulation　is　employed　to　create　a　driving　environment　in　the　emergency　evacuation　and　the　questionnaire　investigation　and　the　Miriam　ECG　are　used　to　verify　the　validity　of　the　driving　environment　in　the　emergency　evacuation　from　subjective　and　objective　aspects.　Gray-correlation　Analysis　is　undertaken　to　determine　which　factors　have　more　impact　on　the　acceleration　of　the　following　car.　Acceleration　of　the　following　car　is　set　as　the　mother　factor　series　and　the　speed　of　the　following　car,　speed　of　the　front　car,　speed　difference　between　vehicles,　headway　between　vehicles,　acceleration　of　the　front　car　are　set　as　the　sub-factor　series.　Finally　acceleration　of　the　front　car,　speed　difference　between　vehicles,　speed　of　the　following　car　are　determined　as　three　most　important　factors.　BP　neural　network　is　designed　and　the　three　factors　mentioned　above　are　selected　as　input　variables　and　the　acceleration　of　the　following　car　is　selected　as　output　variable.　Simulation　of　the　BP　neural　network　with　data　gathered　from　driving　simulator　reveals　that　BP　neural　network　has　a　high　precision　in　the　prediction　of　the　car-following　model.