Featuring Smart Parking Solutions in Smart Cities: VANETs Optimization Using AI and IoT
Bhupinder Singh, Anjali Raghav & Christian Kaunert
AI-Driven Transportation Systems: Real-Time Applications and Related Technologies
School of Law & Government and Electronic Engineering
Abstract

Smart parking solutions are reshaping urban mobility easing congestion, reducing emissions, and improving transportation in smart cities. These developments cover the integration of various vehicular ad hoc networks (VANET) with artificial intelligence (AI) and Internet of Things (IoT). VANET facilitates real-time interaction between vehicles parking infrastructure and city management systems, enabling dynamic data-sharing for effective allocation of parking spaces. AI algorithms analyze data collected from sensors, cameras and V2V (vehicle to vehicle) communication, ranging from parking availability prediction, route optimization to minimizing a driver’s time spent searching for a parking space. Likewise, those using IoT-based data sensors in parking slots provide space occupancy information to centralized platforms that guide drivers to free slots via mobile apps or in-vehicle navigation systems. That prevents excess fuel from being burned, and thereby helps lower traffic jams on roads caused by cars searching for parking. And with predictive analytics powered by AI we can predict peak hours and advise on how to better organize parking. Smart parking systems not only promote a more convenient parking experience, but they also play a vital role in strengthening environmental sustainability efforts by reducing vehicle emissions and fuel consumption. But the successful implementation of such systems base on the strong cybersecurity strategy to maintain data privacy and stability of communication in road networks of VANET. Building scalable and secure smart parking systems requires collaboration between urban planners, technology providers, and policy-makers. With the helping integration of VANETs, AI, and IoT with smart parking system of Infrastructure, it can provide us with the ability to leverage the real-time data in order to improve, optimize and augment smart parking system platform and create smarter and livable urban cities.