Real-time Estimation and Control of California Freeway Traffic

加州高速公路交通实时估计与控制

• 批准号: 0085739
• 负责人: Pravin Varaiya
• 金额: $ 10万
• 依托单位: University of California-Berkeley
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-10-01 至 2001-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0085739&HistoricalAwards=false
• 关键词: Real; time; Estimation; Control; California

0085739The project will:* Estimate and predict travel times between any two points and the corresponding shortest path;* Calibrate the PARAMICS and possibly, CORSIM, micro-simulation models;* Develop and evaluate a ramp metering policy based on the calibrate model.The primary sources of data consist of data from Orange County and Los Angeles County. TheCommunication and database infrastructure for collecting, storing and processing data is in place and operational.The simulation models will be calibrated with data from the two counties. The ramp metering policies will be tested and evaluated through simulation. The most promising strategies will be selected for field implementation.This research effort will be devoted to network state estimation and prediction algorithms, calibration of simulation models, and design/evaluation of ramp-metering algorithms.

该项目将：*估计和预测任意两点之间的旅行时间和相应的最短路径；*校准PARAMICS和可能的CORSIM微观模拟模型；*开发和评估基于校准模型的匝道计量政策。主要数据来源包括奥兰治县和洛杉矶县的数据。收集、存储和处理数据的通信和数据库基础设施已经到位并投入使用。模拟模型将用这两个县的数据进行校准。通过仿真对匝道控制策略进行测试和评价。这项研究将致力于网络状态估计和预测算法、仿真模型的校准和匝道计量算法的设计/评估。