EAGER: Efficient Pricing for Dynamic Resource Allocation in Transportation Systems

该奖项是根据2009年美国复苏和再投资法案资助的。这一早期的探索性研究概念补助金(AGUGER)项目将为交通系统开发动态资源分配模型。重点将是回答应该如何为交通网络制定定价方案，以使个人激励与网络的社会最佳使用相一致的问题。尽管交通网络定价和管理受到了极大的关注，但最广泛使用的交通平衡模型仍然保持不变。向智能交通系统的转变需要一类新的交通模型，其中动态行为是一阶建模要求。这个迫切的项目将开发易于处理的定价方案，以在智能交通系统中高效地动态分配资源。最近的信息技术创新为交通系统潜在研究的新前沿打开了大门。信息技术使司机能够获得实时的交通状况更新，以及在飞行中重新配置他们的路线选择。另一方面，同样的信息技术选项使运输系统的新型网络控制成为可能。通过向司机提供智能反馈，交通系统设计者希望控制司机？鼓励个人自主决策，鼓励和谐高效地整体利用道路。

This award is funded under the American Recovery and Reinvestment Act of 2009.This Early Concept Grants for Exploratory Research (EAGER) project will develop dynamic resource allocation models for transportation systems. The focus will be on answering the question as to how should pricing schemes be developed for transportation networks to align individual incentives with socially optimal use of the network. Despite a tremendous amount of attention to transportation network pricing and management, the most widely-used models for traffic equilibrium remain static. The shift to intelligent transportation systems necessitates a new class of traffic models, where dynamic behavior is a first order modeling requirement. This EAGER project will develop tractable pricing schemes for efficient dynamic resource allocation in intelligent transportation systems. Recent innovations in information technology have opened the door to a new frontier of potential research in transportation systems. Information technology enables drivers to obtain real-time updates on traffic conditions, as well as to reconfigure their route choices on the fly. On the other hand, the same information technology options enable a new breed of networked control for transportation systems. By providing intelligent feedback to drivers, transportation system designers hope to control drivers? individual decisions and encourage harmonious and efficient overall use of the roadways.