Dynamic Route Guidance and Coordinated Traffic Control Workshop

动态路线引导和协调交通控制研讨会

基本信息

  • 批准号:
    0951147
  • 负责人:
  • 金额:
    $ 4.93万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2009
  • 资助国家:
    美国
  • 起止时间:
    2009-09-01 至 2010-08-31
  • 项目状态:
    已结题

项目摘要

This award is funded under the American Recovery and Reinvestment Act of 2009. The objective of this project is to organize a workshop that will provide an opportunity to present the state-of-the-art in the area of Dynamic Route Guidance and Coordinated Traffic Control. The workshop scope is to determine the most important theoretical and implementation challenges and opportunities by the most prominent researchers in this area. This two-day event will be held on June 7th and 8th, 2010 at Rutgers University Busch Campus, Piscataway, NJ. Dynamic route guidance and coordinated traffic control and underlying techniques, such as dynamic traffic assignment, are key to Intelligent Transportation Systems (ITS). Although there has been considerable interest in the development of theories and algorithms dealing with dynamic route guidance and traffic control problems, both in the operations research and transportation communities, there has not been a recent National Science Foundation (NSF)-sponsored workshop dedicated to this important topic. Given the diversity of approaches and researchers involved in this area, it has become clear that collaboration between these researchers from different backgrounds will be the best platform to advance the state-of-the art. Discussions about challenges and opportunities as well as directions for future research will be a very important part of this workshop along with the promise of solving some of the most daunting aspects of this problem. Given the ever increasing congestion problem and our inability of building new capacity, the need for improving the efficiency and reliability of our transportation infrastructure system is obvious. The findings of this workshop will make it possible to develop transformational solutions to take advantage of the emerging data collection and information dissemination technologies that are already revolutionizing almost every aspect of our lives. This workshop can then identify key research and educational issues to improve the operations of our transportation system. The efficiency and reliability gains that can be acquired as a result of the research in this area will have major impacts on both commuter and commercial traffic, which will in turn have a major society-wide impact.
该奖项是根据2009年美国复苏和再投资法案提供资金的。该项目的目标是组织一次研讨会,提供机会介绍动态路线诱导和协调交通控制领域的最新技术。研讨会的范围是确定该领域最杰出的研究人员提出的最重要的理论和实施挑战和机会。这项为期两天的活动将于2010年6月7日和8日在新泽西州皮斯卡特韦的罗格斯大学布希校区举行。动态路径诱导和协调交通控制以及动态交通分配等基础技术是智能交通系统(ITS)的关键。尽管运筹学和交通界都对动态路径诱导和交通控制问题的理论和算法的发展很感兴趣,但最近还没有国家科学基金会(NSF)赞助的研讨会专门讨论这一重要主题。考虑到这一领域涉及的方法和研究人员的多样性,很明显,这些来自不同背景的研究人员之间的合作将是推进最先进技术的最佳平台。关于挑战和机遇以及未来研究方向的讨论将是这次讲习班的一个非常重要的部分,并有望解决这一问题的一些最令人望而生畏的方面。鉴于日益严重的交通挤塞问题,以及我们无法建设新的运输能力,显然有必要提高我们交通基础设施系统的效率和可靠性。这次研讨会的结果将使我们有可能制定变革性的解决办法,以利用新兴的数据收集和信息传播技术,这些技术已经给我们生活的几乎方方面面带来了革命性的变化。然后,这个研讨会可以确定关键的研究和教育问题,以改善我们的交通系统的运营。这方面的研究所获得的效率和可靠性收益将对通勤和商业交通产生重大影响,这反过来又将对整个社会产生重大影响。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(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
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
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
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:
    $ 4.93万
  • 项目类别:
    Standard Grant
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
  • 批准号:
    9875296
  • 财政年份:
    1999
  • 资助金额:
    $ 4.93万
  • 项目类别:
    Standard Grant

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恶劣天气下的自适应路线引导和交通控制
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