ABSTRACT With rapid population growth in the urban areas, the number of automobiles also increases, leading to serious issues in traffic, transportation and lack of parking services. These issues cause traffic congestion, environmental pollution, wasted time, transportation capacity and safety reduction, especially in developing countries where the infrastructures have not been developed enough to meet the increasing demands. Consequently, appropriate parking solutions should be thoroughly investigated to optimise and improve parking services, offering benefits such as scalability, flexibility and real‐time prediction of service availability to drivers. This paper proposes a novel intelligent parking solution to integrate multiple services from both existing and new parking areas seamlessly. The proposed approach develops business process and parking service integration on the cloud, including suitable designs for global and local databases, parking occupancy prediction and microservice mechanisms for service organisation and searching in order to gain agility, scalability and adaptability of the whole system. The microservice architecture not only facilitates the efficient management of parking data aggregated from diverse local areas but also opens doors for future enhancements, including the integration of machine learning approaches to predict availability and seamless integration into smart city initiatives. Evaluation results show that the proposed approach is effective and ready for real‐world implementation.
Minh et al. (2026) studied this question.