write a literature review about parking demand prediction
时间: 2024-05-19 21:15:35 浏览: 16
Sure, I would be happy to assist you with that. Parking demand prediction has been an important topic in transportation planning and management for many years. There are numerous methods and models that have been developed to predict parking demand based on various factors, such as land use, demographics, availability of public transportation, and economic indicators.
One of the earliest models was the Parking Generation Manual, which was first published in 1975 by the Institute of Transportation Engineers. This model used regression analysis to predict parking demand based on land use type and square footage. However, this model has been criticized for being too simplistic and not accounting for other factors that may affect parking demand.
In recent years, more advanced models have been developed using machine learning and artificial intelligence techniques. These models can incorporate a wider range of factors and make more accurate predictions of parking demand. For example, the University of California, San Diego developed a model that uses neural networks and decision trees to predict parking demand based on a variety of factors, including weather, day of the week, and time of day.
Overall, the literature suggests that accurate parking demand prediction is crucial for effective transportation planning and management. Advanced modeling techniques are needed to fully capture the complex factors that affect parking demand, and further research is needed to refine and improve these models.
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