Against　the　background　of　increasing　urban　traffic　congestion,　this　paper　aims　to　alleviate　urban　regional　road　congestion.　Taking　Beijing＇s　road　network　as　the　research　object,　the　real-time　information　of　the　road　network　was　downloaded　and　extracted　by　using　the　Baidu　road　condition　extraction　program.　The　image　representation　index　of　traffic　congestion　is　quantified　and　identified　through　the　geographical　information　system.　At　the　same　time,　the　causes　of　traffic　congestion　are　analyzed　from　multiple　perspectives.　The　index　system　for　improving　the　capacity　is　constructed　by　combining　the　index　system　of　the　road　network　structure,　traffic　planning　and　design,　traffic　operation　organization　and　management,　etc.　The　cloud　model　is　applied　to　build　a　comprehensive　model　to　enhance　capacity,　to　analyze　and　find　out　the　main　indexes　to　improve　capacity　of　regional　road　network,　and　to　provide　solutions　for　traffic　congestion　alleviation.