Nowadays communication by using mobile vehicle getting popularity and user experience map services like Google maps to reach at the destination. It is also clear that map services user have to reveal important information like GPS coordinates or some other personal information during this process. According to current mix-zones privacy techniques, it is revealed that, these methods are much generalized and cannot be applied to secure map services users. In this paper, we have given a novel MMLPP technique, which is specifically constructed for map services users over road network. According to this, mobile vehicle’s users to ask a path among two end points defined on the map, however not to disclose secret location and query statistics. The main concept is to place end points in such a way that, they must be near to each other, alternatively: 1) Actual statistics defined inside these end points (like GPS coordinates) must not be altered i.e. location privacy ensured. 2) The path reverted by the map services change a little, i.e. service usability must be ensured. We can re-iterate in such a way that, firstly , a mobile client extract point of interest , that is close to original end points, and then finally consider two POIs considered as shifted end points which satisfy the condition of Geo-Indistinguishability. We analyzed MMLPP technique for road network application for GTMobiSim on multiple scales of map services and experiments are conducted using real traces. It has been revealed that MMLPP has outperformed all other techniques and shows balance among location privacy and service usability.