In recent times, with the fast growth of China’s vehicle business, the variety of automobiles in China has been growing steadily. Automobiles signify a handy mode of journey, however the development fee of the variety of city motor automobiles far exceeds the development fee of parking amenities. The continual enchancment of parking allocation strategies has at all times been key for guaranteeing sustainable metropolis administration. Thus, creating an environment friendly and dynamic parking distribution algorithm can be an vital breakthrough to alleviate the city parking scarcity drawback. Nevertheless, the present parking distribution fashions don’t adequately contemplate the affect of real-time adjustments in parking demand and provide on parking house task. Subsequently, this research proposed a technique for dynamic parking allocation utilizing parking demand predictions and a predictive management methodology. A neural-network-based dynamic parking distribution mannequin was developed contemplating seven influencing elements: driving length, strolling distance, parking payment, visitors congestion, chance of discovering a parking house within the goal car parking zone and adjoining car parking zone, and parking satisfaction diploma. Contemplating whether or not the parking areas within the focused parking heaps are shared or not, two allocation modes—sharing mode and non-sharing mode—have been proposed and embedded into the mannequin. On the experimental stage, a simulation case and a real-time case have been carried out to judge the developed fashions. The experimental outcomes present that the dynamic parking distribution mannequin based mostly on neural networks cannot solely allocate parking areas in actual time but additionally enhance the utilisation fee of various kinds of parking areas. The efficiency rating of the dynamic parking distribution mannequin for a time interval of two–20 min was maintained above 80%. As well as, the distribution efficiency of the sharing mode was higher than that of the non-sharing mode and contributed to a greater total effectiveness. This mannequin can successfully enhance the utilisation fee of assets and the uniformity of distribution and might cut back the failure fee of parking; thus, it considerably contributes to extra good and sustainable city parking administration.