Robust and Dynamic Prototyping of Strategies for Sustainable Network Congestion Management

可持续网络拥塞管理策略的稳健和动态原型设计

• 批准号: 1300638
• 负责人: Terry Friesz
• 金额: $ 20万
• 依托单位: Pennsylvania State Univ University Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-08-01 至 2017-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1300638&HistoricalAwards=false
• 关键词: Robust; Dynamic; Prototyping; Strategies; Sustainable

The focus of this research project is to explore congestion management strategies and new tactics for their deployment, with special attention given to influencing the time-of-day and minute-to-minute actions of automobile drivers. Significant congestion on roadways is encountered in every metropolitan region of the United States. The time lost, energy resources wasted, and pollution created by traffic congestion are staggering when their perpetual nature is considered. As a consequence, many ideas and technologies for managing congestion and its ills, especially emissions from internal combustion engines, have been proposed and several have been put into practice around the globe. Among the most familiar are high occupancy vehicle (HOV) lanes, traffic signal coordination, congestion pricing, and telecommuting. The innovative aspect of this research is its exploration of new mathematical and computational tools to quickly generate and rank sophisticated mixes of congestion management strategies that vary by time and location across an entire metropolitan region. If this research is successful, it will provide a heretofore missing capability for rapidly prototyping and screening spatiotemporal congestion management strategies that directly consider the impacts of emissions. Such a capability may significantly influence the transportation planning process in that a single engineer working with single decision leader will be able to generate and preliminarily vet complex congestion management strategies without having to perform a full time-consuming simulation of the network of interest. These strategies might consider all-day congestion pricing for a subnetwork; a mix of ramp metering and signal light timing on certain corridors; strict lane assignments and speed controls for another sub-network. The researchers will make use of the research findings to enhance the materials used in the undergraduate and graduate courses related to traffic assignment, road congestion management and transportation sustainability.

该研究项目的重点是探索拥堵管理策略及其部署的新策略，特别关注影响汽车驾驶员的时间和分钟到分钟的行动。在美国的每一个大都市地区，都遇到了严重的道路拥堵问题。考虑到交通堵塞的永久性，时间损失、能源浪费和污染是惊人的。因此，已经提出了许多用于管理拥堵及其弊病，特别是来自内燃机的排放的想法和技术，并且其中一些已经在地球仪各地付诸实践。其中最熟悉的是高占用车辆（HOV）车道，交通信号协调，拥堵定价和远程办公。 这项研究的创新之处在于探索新的数学和计算工具，以快速生成和排名复杂的拥堵管理策略，这些策略在整个大都市地区随时间和位置而变化。如果这项研究成功，它将提供迄今为止所缺乏的快速原型设计和筛选直接考虑排放影响的时空拥堵管理策略的能力。这种能力可能会显著影响交通规划过程，因为与单个决策领导者一起工作的单个工程师将能够生成并初步审查复杂的拥塞管理策略，而不必对感兴趣的网络进行耗时的模拟。这些策略可能会考虑一个子网的全天拥堵收费;在某些走廊上混合使用匝道计量和信号灯定时;对另一个子网进行严格的车道分配和速度控制。研究人员将利用研究结果来改进与交通分配、道路拥堵管理和交通可持续性有关的本科和研究生课程中使用的材料。