The　frequent　occurrence　of　crashes　on　freeway　bridge　sections　has　caused　widespread　concern.　This　paper　takes　the　freeway　bridge　section　as　research　unit　and　uses　the　homogeneity　method　to　divide　the　section　units　of　the　E＇dong　Yangtze　River　Highway　Bridge.　Monthly　traffic　crash,　traffic　flow,　and　road　geometric　data　in　2018　were　used.　A　zero-inflated　negative　binomial　(ZINB)　regression　model　was　developed　to　explore　traffic　safety　influencing　factors　for　freeway　bridges.　AIC　criterion　and　BIC　criterion　were　selected　for　the　goodness　of　fit　test.　Relative　error　(Re),　cumulative　residual　(CSR)　and　mean　standard　absolute　residual　(MSAD)　were　used　for　the　accuracy　test.　The　results　showed　that　the　ZINB　model　can　accurately　predict　the　number　of　freeway　bridge　crashes.　This　paper　provides　theoretical　support　and　reference　for　improving　the　safety　level　of　the　freeway　bridge　operation.