Due　to　the　growing　demand　for　logistics,　the　commercial　vehicle　operation　(CVO)　systems　have　been　a　popular　application　of　intelligent　transportation　systems.　Determining　the　locations　of　on-board　units　(OBUs)　precisely　is　an　important　issue　for　managing　cargo　transportation　processes.　Therefore,　this　study　proposes　a　mobile　positioning　method　based　on　integrated　heterogeneous　networks　to　analyze　the　historical　location　information　and　network　signals　which　are　obtained　from　CVO　systems.　This　method　mainly　analyzes　the　network　signals　from　heterogeneous　networks　(e.g.　the　cellular　networks　and　WiFi　networks)　and　considers　the　factors　of　received　signal　strength　indicators,　time　series　data,　and　transmission　distance　for　mobile　position.　In　practical　experiments,　the　results　show　that　the　mean　location　error　of　the　proposed　method　is　3.36m　lower　than　other　methods.　Therefore,　it　is　feasible　to　adopt　the　proposed　method　for　determining　the　location　of　OBU　for　the　improvement　of　CVO　system.　©　2019　IEEE.