CAREER: Feedback Based Robust On-Line Traffic Control for Intelligent Transportation Systems

职业:智能交通系统的基于反馈的鲁棒在线交通控制

基本信息

  • 批准号:
    9875296
  • 负责人:
  • 金额:
    $ 23.5万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    1999
  • 资助国家:
    美国
  • 起止时间:
    1999-07-01 至 2005-06-30
  • 项目状态:
    已结题

项目摘要

PROJECT SUMMARYAlthough the investment and the interest in Intelligent Transportation Systems(ITS) is growing exponentially, robust real-time on-line traffic controlstrategies that can effectively use this ITS infrastructure do not exist yet.Recent advances in the area of mathematical control theory coupled with theavailability of real-time traffic data present major opportunities for thedevelopment and implementation of robust traffic responsive real-time feedbackcontrol models and strategies. This integrated research and education projecthas the following objectives:1. Development of feedback based on-line traffic control strategies that can beused for real-time traffic management during recurrent and non-recurrentcongestion.Previous research in the area of traffic control mostly focused on the use ofsimulation / optimization based approaches. However, these traditional modelsare not generally applicable to real-time systems due to their very highcomputational costs and robustness requirements of real-time traffic controlsystems. The use of the feedback control design methodologies that can make useof real-time data collected by traffic sensors, constitutes an exact match withthe requirements of ITS, due to the capability of feedback models to respond inreal-time to the deviations of the system from its desired behavior.2. Development of Virtual Interactive Traffic Simulation control on the Internet(VITSI) toolbox and use of real-time traffic data for laboratory testing andvalidation.VITSI toolbox will be developed using several programming languages includingC/C++ and JAVA depending upon the computational requirements of the modules tobe developed. The goal for developing VITSI is to provide researchers andstudents with a flexible and specialized traffic simulation and control designtool set they can use for the development, testing and validation of differentreal-time traffic control strategies. On-line traffic data acquired by RutgersIntelligent Transportation (RITS) laboratory coupled with VITSI toolbox willalso be used to test and validate developed models. This real-time traffic datawill be mainly obtained from ITS facilities in New Jersey.3. Introduction of the results of the proposed research activities into theundergraduate and graduate level traffic control courses through the use of theproposed VITSI toolbox and traffic data acquisition and processing capabilitiesat the recently established Rutgers Intelligent Transportation Systems (RITS)laboratory.With the advent of ITS, on-line traffic control design, testing, andimplementation has become one of the fast growing areas of traffic engineering.However, feedback control techniques have not yet been effectively introducedinto the traffic engineering education programs. This research project willdesign an integrated interdisciplinary research-education program that willincorporate feedback control techniques into both graduate and undergraduatetraffic engineering classes. At the heart of the education efforts, there willbe the use of VITSI toolbox concept coupled with the on-line traffic dataacquisition and processing capabilities of the RITS laboratory. VITSI toolboxwill be specifically designed to encourage the use of Internet based hands-ontools for effective teaching, learning, and research activities, and willcomplement RITS as a new research and education tool that does not currentlyexist.
虽然对智能交通系统(ITS)的投资和兴趣呈指数级增长,目前还不存在能够有效利用这种ITS基础设施的鲁棒实时在线交通控制策略。数学控制理论领域的最新进展与实时交通数据的可用性相结合,为鲁棒交通响应真实的-时间反馈控制模型和策略. 该综合研究与教育项目的目标如下:1.开发基于反馈的在线交通控制策略,可用于经常性和非经常性拥堵期间的实时交通管理。以前在交通控制领域的研究主要集中在使用基于仿真/优化的方法。 然而,这些传统的模型由于其非常高的计算成本和实时交通控制系统对鲁棒性的要求,并不普遍适用于实时系统. 使用反馈控制设计方法,可以利用交通传感器收集的实时数据,构成了一个精确的匹配与ITS的要求,由于反馈模型的能力,以响应实时偏离其期望的行为的系统.开发互联网上的虚拟交互式交通模拟控制(VITSI)工具箱,并使用实时交通数据进行实验室测试和验证。VITSI工具箱将根据待开发模块的计算要求使用多种编程语言(包括C/C++和JAVA)开发。 开发VITSI的目标是为研究人员和学生提供一个灵活的和专门的交通仿真和控制设计工具集,他们可以使用不同的实时交通控制策略的开发,测试和验证。 RutgersIntelligentTransportation(RITS)实验室与VITSI工具箱结合获得的在线交通数据也将用于测试和验证开发的模型。 这些实时交通数据将主要从新泽西州的ITS设施中获得。在最近建立的Rutgers智能交通系统(RITS)实验室,通过使用VITSI工具箱和交通数据采集和处理能力,将拟议的研究活动的结果引入本科生和研究生水平的交通控制课程。随着ITS的出现,在线交通控制设计、测试和实施已成为交通工程的快速发展领域之一。然而,反馈控制技术尚未有效地引入交通工程教育计划。 本研究计画将设计一个整合的跨学科研究教育计画,将回馈控制技术融入研究生与本科生的交通工程课程中。 在教育工作的核心,将有VITSI工具箱的概念结合使用在线交通数据采集和RITS实验室的处理能力。 VITSI工具箱将专门设计用于鼓励使用基于互联网的实用工具,以进行有效的教学、学习和研究活动,并将作为目前尚不存在的一种新的研究和教育工具补充RITS。

项目成果

期刊论文数量(0)
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Kaan Ozbay其他文献

Impact of Social Media on Travel Behaviors during the COVID-19 Pandemic: Evidence from New York City
COVID-19 大流行期间社交媒体对旅行行为的影响:来自纽约市的证据
  • DOI:
    10.1177/03611981211033857
  • 发表时间:
    2021-09
  • 期刊:
  • 影响因子:
    1.7
  • 作者:
    Qian Ye;Kaan Ozbay;Fan Zuo;Xiaohong Chen
  • 通讯作者:
    Xiaohong Chen
Evaluation of Garden State Parkway Alternate Bus Routing Field Operational Test
  • DOI:
    10.5038/2375-0901.3.4.5
  • 发表时间:
    2001-10-01
  • 期刊:
  • 影响因子:
  • 作者:
    Kaan Ozbay;Blanka Karunaralne;Trefor Williams;Diogenes Feldhaus;Mohsen Jafari
  • 通讯作者:
    Mohsen Jafari
Drivers’ reactions to real-world forward collision warnings at both macroscopic and microscopic longitudinal levels: A functional approach
  • DOI:
    10.1016/j.aap.2024.107853
  • 发表时间:
    2025-02-01
  • 期刊:
  • 影响因子:
  • 作者:
    Di Yang;Fan Zuo;Kaan Ozbay;Jingqin Gao
  • 通讯作者:
    Jingqin Gao
When language and vision meet road safety: Leveraging multimodal large language models for video-based traffic accident analysis
当语言和视觉遇见道路安全:利用多模态大语言模型进行基于视频的交通事故分析
  • DOI:
    10.1016/j.aap.2025.108077
  • 发表时间:
    2025-09-01
  • 期刊:
  • 影响因子:
    6.200
  • 作者:
    Ruixuan Zhang;Beichen Wang;Juexiao Zhang;Zilin Bian;Chen Feng;Kaan Ozbay
  • 通讯作者:
    Kaan Ozbay
Modeling lane-specific breakdown probabilities at freeway diverge sections
  • DOI:
    10.1016/j.physa.2020.125231
  • 发表时间:
    2021-01-01
  • 期刊:
  • 影响因子:
  • 作者:
    Kun Xie;Kaan Ozbay;Di Yang;Hong Yang;Yuan Zhu
  • 通讯作者:
    Yuan Zhu

Kaan Ozbay的其他文献

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{{ truncateString('Kaan Ozbay', 18)}}的其他基金

Learning-Based Fault-Tolerant Traffic Management Algorithms for Intelligent Transportation Systems
智能交通系统中基于学习的容错交通管理算法
  • 批准号:
    1949710
  • 财政年份:
    2020
  • 资助金额:
    $ 23.5万
  • 项目类别:
    Standard Grant
Dynamic Route Guidance and Coordinated Traffic Control Workshop
动态路线引导和协调交通控制研讨会
  • 批准号:
    0951147
  • 财政年份:
    2009
  • 资助金额:
    $ 23.5万
  • 项目类别:
    Standard Grant

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A pragmatic randomized trial to evaluate the effect of a peer-comparison feedback letter on antimicrobial use in hospital-based physicians
一项实用的随机试验,旨在评估同行比较反馈信对医院医生抗菌药物使用的影响
  • 批准号:
    483302
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    2023
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A pragmatic randomized trial to evaluate the effect of a peer-comparison feedback letter on antimicrobial use in hospital-based physicians
一项实用的随机试验,旨在评估同行比较反馈信对医院医生抗菌药物使用的影响
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    2304983
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A Wearable Haptic Feedback System for Home-based Gait Training for Older Adults
用于老年人家庭步态训练的可穿戴触觉反馈系统
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开发基于集群的动态失速流最优反馈控制降阶模型
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AR-CPR: Refinement and Large-Scale Simulation-Based Testing of a Novel Augmented Reality Point of Care Chest Compression Feedback System.
AR-CPR:新型增强现实护理点胸外按压反馈系统的改进和大规模基于模拟的测试。
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Optimizing feedback-based learning in children with developmentallanguage disorder.
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