CAREER: Simulation-Based Optimization Techniques For Urban Transportation Problems

该学院早期职业发展(CALEAR)计划奖的目标是为三种类型的城市交通问题开发高效的计算机模拟优化技术：(I)动态、(Ii)大规模和(Iii)可靠。这些技术使最先进的城市交通模拟器能够解决各种连续、非线性、约束和高维的优化问题。它们结合了基于元模型模拟的优化、瞬时有限容量排队理论和交通流理论等领域的思想。他们的表现是通过考虑美国、欧洲和亚洲的三个道路网络的城市交通管理问题来评估的。这个项目将与美国的一个交通机构合作进行。这些技术将支持他们正在进行的规划和业务努力。世界各地的许多交通机构和顾问使用这些交通模拟工具来为他们的规划和运营决策提供信息。这些技术将使从业者能够确定同时提供本地和网络范围改进的交通策略。如果成功，这些技术将有助于改善交通系统的管理，缓解高峰时段的拥堵，从而减少其对经济和环境的影响。它们还有助于通过确定导致更可靠的交通服务的交通管理战略来提供更好的城市交通体验。通过使用微观模拟器来有效识别网络设计改进，还可能为基础设施项目节省大量资金。这个项目的想法和结果将与主要的模拟软件开发商进行讨论。通过各种教育活动，该项目将吸引、鼓励和培训代表不足的学生进行工程研究和解决问题。

The objective of this Faculty Early Career Development (CAREER) Program award is the development of computationally efficient simulation-based optimization techniques for three types of urban transportation problems: (i) dynamic, (ii) large-scale, and (iii) reliable. The techniques enable state-of-the-art urban traffic simulators to address a variety of continuous, nonlinear, constrained and high-dimensional optimization problems. They combine ideas from the fields of metamodel simulation-based optimization, transient finite capacity queueing theory and traffic flow theory. Their performance is evaluated by considering urban traffic management problems for three road networks in the United States, Europe and Asia.This project will be carried out in collaboration with a transportation agency in the United States. The techniques will support their ongoing planning and operational efforts. Numerous transportation agencies and consultants around the world use these traffic simulation tools to inform their planning and operations decisions. The techniques will enable practitioners to identify transportation strategies that provide both local and network-wide improvements. If successful, these techniques contribute to improve the management of transportation systems, mitigate peak-hour congestion, and thereby reduce its economic and environmental impacts. They also contribute to providing an improved urban mobility experience by identifying traffic management strategies that lead to more reliable transportation services. Enabling the use of microscopic simulators to efficiently identify network design improvements may also lead to substantial savings for infrastructure projects. The ideas and results of this project will be discussed with the main simulation software developers. Through various educational activities, this project will involve, encourage and train underrepresented students in conducting engineering research and problem solving.