In　order　to　select　and　recommend　the　optimal　parking　lot　for　the　users,　a　novel　intelligent　selection　algorithm　based　on　the　grey　relational　analysis　considering　user　preferences　is　proposed.　The　parking-lot　evaluation　index　system　consisting　of　indicators　in　effectiveness,　convenience,　economy,　environmental　attribute　and　agreeableness　is　firstly　established.　The　comprehensive　weight　determination　method　combining　the　expert　estimation　method　with　the　user　preference　settings　is　proposed　to　determine　the　comprehensive　weight　of　each　evaluation　index,　and　this　method　can　meet　the　personalized　needs　of　individual　user　to　the　greatest　extent.　The　evaluation　indexes　considering　various　representative　objective　and　subjective　influential　factors　including　the　driving　distance　between　the　current　location　and　the　target　parking　lot,　the　walking　distance　between　the　target　parking　lot　and　the　destination,　the　remaining　parking　spaces,　the　parking　fee,　the　condition　of　the　hardware　facilities　and　service　quality　are　determined,　and　the　corresponding　comprehensive　weight　of　each　evaluation　index　is　calculated.　Then　the　parking　lots　near　the　destination　are　evaluated　by　the　grey　relational　analysis　in　order　to　select　the　optimal　one　to　the　user　for　parking　reservation.　This　algorithm　has　been　proven　to　be　effective　by　the　APP　on　Android　mobile　phones.　©　The　Author(s)　2021.