Vehicular　ad　hoc　networks　(VANETs)　have　become　an　important　branch　of　future　6G　smart　wireless　communications.　As　an　emerging　key　technology,　multi-access　edge　computing　(MEC)　provides　low-latency,　high-speed,　and　high-capacity　network　services　for　the　VANETs.　In　this　paper,　we　propose　a　novel　framework　for　blockchain-based,　hierarchical　multi-access　edge　computing　for　the　future　VANET　ecosystem　(BMEC-FV).　In　the　underlying　VANET　environment,　we　propose　a　trust　model　to　ensure　the　security　of　the　communication　link　between　vehicles.　Multiple　MEC　servers　calculate　the　trust　between　vehicles　through　computing　offloading.　Meanwhile,　the　blockchain　system　plays　an　important　role　to　manage　the　entire　BMEC-FV　architecture.　We　aim　to　optimize　the　throughput　and　the　quality　of　services　(QoS)　for　MEC　users　in　the　lower　layer　of　the　system　architecture.　In　this　framework,　the　main　challenge　is　how　to　effectively　reach　consensus　among　blockchain　nodes　while　ensuring　the　performance　of　MEC　systems　and　blockchains.　The　blocksize　of　blockchain　nodes,　the　number　of　consensus　nodes,　reliable　features　of　each　vehicle,　and　the　number　of　producing　blocks　for　each　block　producer　are　considered　in　a　joint　optimization　problem,　which　is　modeled　as　a　Markov　decision　process　with　state　space,　action　space,　and　reward　function.　Since　it　is　difficult　for　this　to　be　solved　by　traditional　methods,　we　propose　a　novel　deep　compressed　neural　network　scheme.　Simulation　results　illustrate　the　superiority　of　the　BMEC-FV　ecosystem.　©　2000-2011　IEEE.