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

这个关于智能互联社区的迫切项目专注于开发新的城市停车基本模式，以解决对机动性和健康造成负面影响的拥堵问题。随着基础设施日益捉襟见肘，交通拥堵正日益成为城市可持续发展的瓶颈。在城市地区的所有地面交通中，有相当大一部分--高达40%--来自寻找停车位的司机。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)，使市政当局能够实现更好的拥堵控制，并使司机能够更有效地行动。这些工具比目前仅用价格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。这个项目将在排队理论和机制设计方面带来根本性的进步。具体地说，这些模型研究了街区级别的流通交通，以及信息在驾驶员决策中所起的作用。该项目的三个主要推动力是：1)建立一个由真实数据提供信息的排队流网络模型，该模型能够捕捉网络拓扑和时空行为。2)在排队流网络上引入博弈论结构，以捕捉异质用户的战略本质。3)与西雅图市和行业合作伙伴合作创建一个活生生的实验室实验平台，用于验证我们的理论。该项目与西雅图市、行业合作伙伴(如Sideway Labs)和本科生合作。西雅图将提供数据和机会来测试和验证开发的结果，行业合作伙伴将提供技术支持，学生将开发移动应用程序并了解如何管理现代智慧城市。如果成功，这个项目提供了一个示范，展示了城市、学术界和工业界如何合作进行具有短期实际影响的严谨研究。

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.