EAGER: Efficient Pricing for Dynamic Resource Allocation in Transportation Systems

EAGER：运输系统动态资源分配的有效定价

• 批准号: 0948434
• 负责人: Ramesh Johari
• 金额: $ 20万
• 依托单位: Stanford University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-01-01 至 2012-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0948434&HistoricalAwards=false
• 关键词: EAGER; Efficient; Pricing; Dynamic; Resource

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.

该奖项是根据2009年《美国回收与再投资法》的资助。这项早期的探索性研究概念赠款（急切）项目将开发运输系统的动态资源分配模型。重点将放在回答有关如何为运输网络开发定价方案的问题，以使个人激励措施与网络的社会最佳使用一致。尽管对运输网络定价和管理非常关注，但交通平衡的最广泛使用的模型仍然是静态的。向智能运输系统的转移需要新的流量模型，其中动态行为是一阶建模要求。这个急切的项目将开发可易处理的定价方案，以在智能运输系统中有效的动态资源分配。信息技术的最新创新为运输系统潜在研究的新领域打开了大门。信息技术使驾驶员能够获得有关交通状况的实时更新，并可以随时重新配置其路线选择。另一方面，相同的信息技术选项为运输系统提供了新的网络控制。通过向驾驶员提供智能反馈，运输系统设计师希望控制驾驶员？个人决策并鼓励道路的和谐有效地使用。