<p>The vehicle drivers pose a huge problem in determining an optimal parking space as the density of vehicles in big cities have rapidly increased over the recent years. This objective of drivers towards the identification of parking availability causes traffic congestion, time wastage and air toxicity. At this juncture, the smart parking systems enable the drivers to reserve parking spaces and achieve real time parking information. But, most of state-of-the art smart parking solutions call for requiring drivers to disclose potentially sensitive information, such as their intended destination. In addition, the chances of single point failure are maximized as the available due to their total centralization smart parking solutions are quite susceptible to privacy invasions by the service providers. In this paper, Efficiency of a Smart Parking System in Privacy-Preserving using Multi Transaction Mode Consortium blockchain. This private information retrieval scheme is proposed with the benefits of enhanced multi-transaction mode consortium blockchain which is built by various parking lot proprietors for maximizing parking offers through the inclusive factors of accessibility, openness, and security. It is proposed to covertly retrieve parking offers from the improved multi-transaction mode consortium blockchain in order to protect drivers’ location privacy. It also included the merits of light-weighted quantum blind signature for guaranteeing the drivers with a significant anonymous authentication process that aids in determining the feasibility and available parking slot reservation. The results confirmed the predominance of the proposed private information retrieval scheme with respect to the maximized privacy preservation of drivers’ sensitive information with minimized communication and computation overheads.</p>