ABSTRACT
The idea of smart parking was introduced to solve the problem of parking space and parking management in megacities. This chapter proposes the current state of vehicular detection technologies while focusing on critical parameters such as scalability, accuracy, and sensitivity to weather conditions. It investigates new generations of the Smart parking system (SPS) utilizing Vehicle ad hoc networks and drone paradigms, in addition to recommending a new conceptual hybrid model for the smart parking. The chapter examines existing open research issues in SPSs ranging from sensors limitation to the communication network capabilities, as well as the need for energy harvesting and data interoperability. Existing smart parking attempts in the smart city paradigm are either utilizing a single detection sensor, or they fall in the large-scale implementations. A hybrid model is a system in which more than one sensor is used for detecting vehicles, or in case of communications, both wired and wireless modes are used in conjunction.
