Abstract: In view of the local congestion caused by public parking guidance under the condition of limited parking resources， a personalized sharing parking guidance service model was proposed， with residential parking space joined. Personalized parking guidance strategy was discussed， several sharing parking indexes were defined， and then a bi-level design model of sharing parking guidance with residential joined was established. By controlling the mean value of unoccupied parking difference index in peak time and walking distance， the driver’s parking choice goal could be met and the balance and effective use of parking resources were achieved. The research shows that by the way of personalized parking guidance， the unoccupied time of residential parking lots can effectively alleviate the attraction of their adjacent buildings and the local parking congestion in peak time can be reduced. So the parking lots of residential areas will be the best sharing partner of the adjacent buildings in sharing parking.

Key words: urban traffic, parking, personalized parking guidance, residential area, sharing parking, bi-level design