Recently,　the　rise　of　the　Internet　of　Vehicles　(IoV)　has　driven　the　broad　development　of　intelligent　transportation　and　smart　cities.　In　order　to　promote　the　computing　power　of　mobile　vehicles　and　decrease　the　content　delivery　latency　of　suppliers,　mobile　edge　computing　(MEC)　is　recognized　as　a　promising　computational　paradigm　and　used　in　vehicular　networks.　However,　there　are　some　essential　issues　to　be　considered:　1)　privacy　and　authenticity　of　data　transmission　in　IoV,　and　2)　reasonable　resource　allocation　for　collaborative　computing　and　caching.　In　this　paper,　to　solve　above　issues,　blockchain　technology　is　introduced　and　adopted　to　ensure　the　accuracy　and　reliability　of　data　transmission　and　interaction.　Meanwhile,　we　develop　an　intelligent　framework　of　resource　allocation　about　computing　and　caching　for　blockchain-enabled　MEC　systems　in　IoV.　Through　jointly　considering　and　optimizing　offloading　decision　of　computation　task　carried　by　vehicle,　caching　decision,　the　number　of　offloaded　consensus　nodes,　block　interval　and　block　size,　the　weighted　consumption　costs　of　energy　consumption　and　computation　overheads　can　be　decreased,　and　the　transactional　throughput　of　the　blockchain　can　be　increased.　Moreover,　due　to　the　continuity　and　dynamic　of　the　available　resources　of　mobile　vehicles　and　computing　servers,　the　optimization　problem　is　modeled　as　a　Markov　decision　process　(MDP).　Facing　the　large-scale　and　dynamic　characteristics　of　the　system,　the　asynchronous　advantage　actor-critic　(A3C)　approach　is　introduced　to　deal　with　the　optimization　problem.　Simulation　results　show　that　our　proposed　scheme　achieves　significant　advantages　over　other　comparison　schemes,　such　as　the　total　reward　of　the　proposed　scheme　is　about　14%　higher　than　that　of　the　deep　Q-network　based　scheme.　©　1967-2012　IEEE.