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In the recent decades, short-range wireless has become of great importance in the applications of Intelligent Transportation Systems (ITS); especially, that serve traffic management and safety. Various approaches are concerned with optimal positioning of a vehicle and Base-Stations (BSs) placement within a specific area. The optimization problem stands as an exhaustive challenge. This paper discusses different approaches for short-range BSs placement with respect to maximizing signal coverage and minimizing error in positioning within a parking lot. An implementation of a number of sample patterns is illustrated. A comparison based on the utilization of the patterns, shows coverage in percentage, average, standard deviation and maximum value of error in estimated positions of vehicles. We propose a new approach which results in improved accuracy and highest performance in positioning and then enhanced tracking of vehicles.