In the framework of Smart Cities and Intelligent Transportation Systems (ITS), efficient parking management is essential to reduce urban congestion and emissions. However, current reservation-based systems often encounter a scenario in which users find their reserved slot occupied by a previous occupant who failed to vacate on time ("No PARK" situation). This paper introduces a dual-mechanism architecture designed to enhance system reliability. A Reservation Module uses a dynamic size buffer of non-reservable slots to grant parking availability. A reputation-based Reward System exploits a "star-based" metric to incentivize punctual departures through financial penalties and access restrictions. The simulations conducted with the SUMO urban simulator are promising, showing that the dynamic buffer strategy provides a better tradeoff between parking availability and reservation success. By progressively adapting to users behavior, the proposed system mitigates "NO PARK" instances and improves resource utilization, significantly enhancing urban viability. Index Terms-Smart City, Intelligent transportation systems, Parking, Reservation systems, V2I, Reputation-based mechanisms, Smart Parking

翻译：在智慧城市与智能交通系统（ITS）的框架下，高效的停车管理对于缓解城市拥堵和降低排放至关重要。然而，当前基于预约的系统常面临用户发现其预约车位被未按时离场的先前使用者占用（即“无位可停”情形）的困境。本文提出一种双机制架构以增强系统可靠性。预约模块采用动态大小的非预约车位缓冲区来保障停车可用性；基于信誉的奖励系统则通过“星级”指标，借助经济处罚和访问限制激励用户准时离场。基于SUMO城市交通仿真器的实验结果表明，动态缓冲区策略在停车可用性与预约成功率之间实现了更优的平衡。通过逐步适应驾驶行为，所提系统能有效缓解“无位可停”状况，提升资源利用率，显著改善城市运行效能。索引词——智慧城市、智能交通系统、停车、预约系统、车联网、基于信誉的机制、智能停车。