隨著經濟行為活絡與生活水準提升，台灣地區的私人運具持有率仍持續增加，由於停車供給增加不易，因此都會區時常面臨嚴重的停車供給不足問題。路邊停車格係政府提供的公共財，有其存在之必要，因此當出現停車供需失衡的情況，需要透過適當之交通管理的手段加以改善，良好的路邊停車管理可以避免因為停車需求競爭而導致的交通壅塞與燃料耗費。
「路邊車格收費」乃政府針對使用公共財之行為進行收費及管理而施行之政策，然而當前收費方式多採單一且低價機制，長時間占用停車格的情況屢見不鮮，停車格周轉率低落之停車環境使欲停車者持續繞行於車流中。若納入時間及空間效用因素之特性，導入差別訂價策略，在離峰時段或無人停放區域降低費率，尖峰時段及周轉率較低區域提升費率，利用價格因素導引民眾選擇停車位置，使停車格能更加平均的被使用，不僅離峰時段可從低價受益，也能提升尖峰時段獲得停車位之可能性。
台南市為台灣主要都市中，智慧停車服務建置最為完善的城市，因此選擇台南市作為研究的地點，進行創新服務的展示。主要理念係改良現有之智慧停車APP服務內容與效能，繪製服務藍圖並藉由差別訂價以及需求預測方式，創新智慧路邊停車導引服務。利用智慧停車系統取得之即時停車數據建構需求預測模式，預測各時段停放情形用以研擬差別定價，並發放問卷了解消費者對於差別訂價的偏好，整合需求預測結果與問卷分析結果，建構一套智慧停車服務系統，納入會員管理系統進行服務失效等相關補償措施，成為貼近消費者需求與偏好的服務平台。此外透過VISSIM軟體進行交通模擬，預估本服務對於市區道路交通之效益。本研究探索此服務中重要子系統的可能性，期望能夠使公共停車資源得以有效利用，同時達成改善都市交通管理之政策目標。

With the increase in economic behavior the private vehicles continue to grow in Taiwan. However, it is not easy to increase parking supply especially in metropolitan area. Therefore, people often faced with the problem of imbalance between parking supply and demand. When there is a parking supply and demand problem it needs to be improved by intelligent traffic management method. Great roadside parking management can avoid traffic congestion and fuel consumption.
“On-street parking fee" is a policy implemented by the government to charge and manage the use of public goods. However, the current charging method mostly adopts a single and low-cost method. Therefore, it is common for parking spaces to be occupied for a long time and the turnover rate of parking spaces is low. The parking environment makes those who want to park continue to detour in the traffic. Introduce a differential pricing strategy to reduce rates during off-peak hours or where no one parks and increase rates during peak hours and areas with low turnover rates. It can use price factors to guide people to choose parking locations, so that parking grids can be used more evenly.
Tainan City is the city with the most complete smart parking services among the major cities in Taiwan. Therefore, Tainan City was chosen as the research location to showcase innovative services. The main idea is to improve the service content and efficiency of the existing smart parking APP. Draw a service blueprint and innovate smart roadside parking guidance services by means of differential pricing and demand forecasting. Use the real-time parking data to construct a demand forecast model and issue questionnaires to understand consumers' preferences for differential pricing. Construct a smart parking service system based on the above concepts and add a member management system to compensate for service failures in order to become a service platform that meets the needs and preferences of consumers. In addition, the benefits of this service to urban road traffic are estimated through traffic simulation. This study explores the potential of this important subsystem of services, with the hope that it will enable the efficient use of public parking resources while achieving the policy goal of improving urban traffic management.

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