This　paper　investigates　the　model-based　periodic　event-triggered　control　strategy　for　Inter-Vehicle　Communication　(IVC)　in　the　field　of　cyber-physical　transportation　system　(CPTS).　The　vehicle　needs　to　periodically　broadcast　its　state　information　to　other　vehicles　to　ensure　the　traffic　safety.　Considering　the　scarcity　of　communication　resources　in　traffic　network,　an　event-triggered　control　is　introduced　to　strike　a　balance　between　the　communication　cost　and　the　estimation　quality.　The　state　information　of　the　vehicle　is　calculated　by　the　local　estimator　through　the　interacting　filtering　algorithm,　and　the　scheduling　module　controls　the　broadcast　behavior　of　the　vehicle.　When　the　channel　between　the　dead　reckoning　module　and　the　local　estimator　is　activated,　the　local　estimator　broadcasts　the　current　estimation　results　in　the　vehicular　network.　Otherwise,　the　dead　reckoning　module　in　neighboring　vehicles　calculates　the　computative　state　based　on　the　available　information.　In　view　of　the　characteristics　of　event-triggering,　a　periodic　verification　is　attached　to　the　system　to　obtain　an　ideal　compromise　between　conventional　periodic　sampled-data　control　and　event-triggered　control.　Furthermore,　the　probability　distribution　of　estimated　states　in　the　dead　reckoning　module　is　calculated,　which　helps　to　the　design　of　event-triggered　strategy　and　parameter　selection.　Extensive　simulation　and　real　experiments　are　conducted　to　illustrate　the　effectiveness　of　the　proposed　communication　control　strategy.