Scalable urban traffic control framework driven by distributed information

该项目旨在开发一个数学框架，用于研究交通信号设置和道路使用者做出的选择之间的信息交互作用。对于许多大都市地区日益恶化的拥堵问题，交通控制是最古老、最具成本效益的解决方案之一。然而，通过解决基本的数学挑战，可以实现进一步的收益，以改善交通控制和打击拥堵。预期结果将是对信息和算法的使用的洞察，这些信息和算法可以提供高效、稳健和安全的交通网络管理。

This project aims to develop a mathematical framework for investigating the role of information interactions between traffic signal settings and choices made by road users. Traffic control is one of the oldest and most cost-effective solutions for the worsening congestion problem in many metropolitan areas. However, through addressing fundamental mathematical challenges, further gains can be achieved to improve traffic control and combat congestion. The expected outcome will be insights into the use of information and algorithms that can provide efficient, robust and safe traffic network management.