In this work, we present a route planning tool based on Resistive Grid Method (RGM) for vehicle guidance on city networks. The RGM creates a route from one point to another using the least resistive path that is analogous to a routing problem on a city network [1]. In this propose, we take the RGM approach and apply two modifications to adapt it for offline vehicle guidance problem. On one hand, the network restrictions such as; one-way streets and prohibited turns are modelled by non-linear devices (diodes). On another hand, the values of linear resistors are established by using the length of each street and connected in series with non-linear devices according the sense of the way. The least resistive path is create by using the maximum current branches connected to each pair of nodes in the grid representation. In order to reduce the execution time and the complexity of calculation we use the Local Current Comparison Method (LCCM) to found the least resistive path. The map of a city network used for the study cases, in this work, was taken from OpenStreetMaps data base. To validate the utility of our propose, two simulations of vehicle guidance problems for the city network map of Xalapa, Mexico are presented. Furthermore, the advantages of this methodology in off-line conditions are shown. Finally, the comparison between our propose methodology and Google Maps™ are discussed.