Modern　urbanization　requires　smarter　technology　to　develop　a　range　of　smart　transport　system　applications　(ITS).　Continuing　traffic　management　is　a　major　concern　worldwide.　Via　emerging　technology　and　interconnected　infrastructure　that　incorporates　a　wide　variety　of　connectivity,　vehicle　control　and　sensing　technologies,　and　electronics　technologies,　the　ITS　offers　solutions　for　these　problems.　Today,　metropolitan　cities　face　fresh　and　immense　challenges:　urbanization,　land　and　air　connections　and　electronic　transport,　new　transport,　logistics　infrastructure　demands,　more　advanced　traffic　maintenance.　It　offers　the　opportunity　to　simplify　the　driver　process　and　enhance　safety　on　public　roads.　The　article　presents　a　monitoring　scheme　based　on　connections　between　human　and　machine　(TTS-HCI)　and　Bayesian　filters.　Discuss　current　intelligent　transport　networks　and　possible　complications　caused　by　human-computer　interaction.　Therefore,　a　potential　operational　and　technical　structure　for　integrated　urban　freight　transport　management　and　recognition　of　relevant-related　problems　and　models　for　planning　and　operation.　The　experimental　analysis　of　context-aware　of　the　HCI　for　Transport　system　in　Urban　Areas　results　is　obtained　as　the　traffic　congestion　ratio　is　87.6%,　increasing　the　roadways　ratio　is　87.12%,　and　the　human　safety　ratio　is　84.5%,　speed　control　ratio　is　82.25%,　vehicle　tracking　ratio　is　93.80%.