An efficient smart parking pricing system for smart city environment: A machine-learning based approach

TL;DR: In this article , a variety of recent studies employing on-street parking as a solution is examined and discussed, and the advantages and drawbacks of many parking systems are discussed and analyzed.

TL;DR: A WSN-based smart parking management system using FFA-ANN is proposed to manage parking issues in congested metropolitan cities. The system utilizes wireless sensor networks to monitor parking slot occupancy status and communicate availability to users. An energy-aware trust-based routing algorithm and firefly algorithm are used to optimize the system.

TL;DR: This study develops a statistical model using time-to-event models and semi-Markov process theory to predict on-street parking lot occupancy in smart cities, outperforming traditional Markov models with improved true negative and positive rates.

TL;DR: This systematic literature review employs AI-driven analysis to identify eight research clusters on public interaction across diverse contexts, revealing key themes and insights on digital civic engagement, sustainability, and socio-environmental impacts in the rapidly evolving digital age.

TL;DR: A smart parking ecosystem is introduced and a comprehensive and thoughtful classification by identifying their functionalities and problematic focuses is proposed, and three macro-themes are proposed: information collection, system deployment, and service dissemination.

TL;DR: In this paper, the authors treat parking as a common property resource and examine the benefits of pricing it, showing that parking close to the destination will be excessive, and will fall off more rapidly than is socially optimal.

TL;DR: A methodological framework for multiple steps ahead parking availability prediction is presented, and findings show that the Weibull parametric models best describe the probability of a parking space to continue to be free in the forthcoming time intervals.

TL;DR: The proposed “intelligent” parking space inventory control system that is based on a combination of fuzzy logic and integer programming techniques makes “on line” decisions whether to accept or reject a new driver’s request for parking.