EAGER: Congestion Mitigation via Better Parking: New Fundamental Models and A Living Lab

这个关于智能和互联社区的EAGER项目侧重于开发新的城市停车基本模式，以解决对交通和健康产生负面影响的拥堵问题。随着基础设施不堪重负，交通拥堵正日益成为城市可持续发展的瓶颈。在城市地区，高达40%的地面交通都是由司机寻找停车位造成的。该项目将开发新的停车管理工具（针对城市的算法和针对司机的应用程序），使市政当局能够更好地控制拥堵，并使司机能够更有效地行动。这些工具比目前仅用价格来影响城市平均入住率的控制方案更有针对性、更稳健、更准确。这个项目将导致排队理论和机制设计的根本性进步。具体来说，这些模型以块级分辨率研究循环交通以及信息在驾驶员决策中的作用。该项目的三个主要重点是：1)开发一个队列流网络模型，该模型由捕获网络拓扑和时空行为的真实数据提供信息。2)在队列流网络上建立一个博弈论结构，以捕获异构用户的策略性质。3)与西雅图市和行业合作伙伴合作创建一个生活实验室实验平台，以验证我们的理论。该项目与西雅图市、Sidewalk Labs等工业合作伙伴以及本科生合作。西雅图将提供数据和机会来测试和验证开发的结果，工业合作伙伴将提供技术支持，学生将开发移动应用程序并学习如何管理现代智慧城市。如果取得成功，该项目将展示城市、学术界和工业界如何合作开展严谨的研究，从而产生短期的实际影响。

This EAGER project on Smart and Connected Communities focuses on developing new fundamental models of urban parking in order to address issues of congestion that negatively impact mobility and health. Traffic congestions are increasingly becoming bottlenecks to sustainable urban growth as infrastructures are being stretched to their limits. A significant amount-up to 40%-of all surface level traffic in urban areas stems from drivers looking for parking. This project will develop new parking management tools (algorithms for cities and apps for drivers) that allow municipalities to achieve better congestion control and enable drivers to act more efficiently. These tools are more targeted, robust and accurate than the current control scheme of only using price to influence the average occupancy rate over a city. This project will result in fundamental advances in queuing theory and mechanism design. Specifically, the models study circulating traffic at block level resolution and the role of information plays in driver decisions. The three main thrusts of the project are: 1) Develop a queue-flow network model of traffic informed by real data that captures network topology and spatio-temporal behavior. 2) Impose a game theoretic structure on the queue-flow network that captures the strategic nature of heterogeneous users. 3) Create a living lab experimental platform in collaboration with the city of Seattle and industry partners for validation of our theories.This project engages with the City of Seattle, industrial partners such as Sidewalk Labs, and undergraduate students. Seattle will provide data and the opportunities to test and validate the results developed, industrial partners will provide technical support, and students will develop mobile apps and learn how a modern smart city can be managed. If successful, this project provides a demonstration of how cities, academia, and industry can partner to conduct rigorous research that will have short-term, practical impact.