A modeling framework for large-scale traffic networks

大规模交通网络建模框架

基本信息

  • 批准号:
    341281-2007
  • 负责人:
  • 金额:
    $ 1.38万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Discovery Grants Program - Individual
  • 财政年份:
    2007
  • 资助国家:
    加拿大
  • 起止时间:
    2007-01-01 至 2008-12-31
  • 项目状态:
    已结题

项目摘要

The Canadian Transport Ministry identified in its last Report on Plans and Priorities the need for a better inter-modal integration and consistent transportation infrastructure design and rehabilitation in order to sustain Canada's needs for productivity gains and overall economic growth.  The release of a recent study performed for Transport Canada, that investigated the cost of roadway urban congestion in Canada, shows that for nine metropolitan areas of the country the total annual congestion costs ranges between 2.0 and 3.4 billion (in 2002 dollars).  The availability of accurate and reliable traffic modeling tools impacts the effectiveness of traffic management authorities in addressing safety, security, and efficient utilization of national and regional roadways infrastructure.  Currently, the state-of-the-art of large-scale traffic network modeling tools, in spite of recent substantial developments in this area, have mix success in striking the balance between the simplicity, versatility, efficiency, comprehensiveness, and flexibility of modeling the transportation networks.  The long term goal of the proposed research program is to develop a comprehensive modeling framework that integrates various traffic modeling tools.  This framework will encompass a collection of proposed theoretical models specialized in traffic analysis of various transportation facilities (expressways, arterials, intersections, etc.).  In addition, a comprehensive software package will be developed in order to integrate the proposed models in a modular approach.  This feature will facilitate future developments beyond the scope the first five-year term of the proposed research program, such as specialized traffic simulators, GIS interfaces, repository databases, analysis emulators, etc.  The major benefit of this research program is two-fold.  First, this program will provide transportation professionals communities, practitioners and researchers, a robust and integrated support that serves an array of purposes.  Second, this research will also provide support in educational activities of traffic engineering students at both levels, applied and basic-research.
加拿大交通部在其上一份《计划和优先事项报告》中指出,为了保持加拿大对生产力提高和整体经济增长的需求,需要更好的多式联运一体化和一致的交通基础设施设计和修复。加拿大交通部最近发布的一项研究调查了加拿大城市道路拥堵的成本,显示,对于该国的九个大都市地区,每年的总拥堵成本在20亿至34亿美元之间(2002年美元)。准确可靠的交通建模工具的可用性影响交通管理当局在解决安全,安保,和有效利用国家和区域道路基础设施。目前,最先进的大规模交通网络建模工具,尽管最近在这一领域取得了实质性的发展,但在简单性、通用性、效率、全面性,该研究计划的长期目标是开发一个综合性的建模框架,该框架将集成各种交通建模工具。该框架将包括一系列专门用于各种交通设施(高速公路、主干道、交叉口等)的交通分析的理论模型。 此外,我们亦会开发一套综合软件,以模块化的方式整合建议的模型。这项功能将有助日后发展超出建议研究计划首个五年期的范畴,例如专门的交通模拟器、地理信息系统界面、储存库数据库、分析模拟器等。这项研究计划的主要好处有两方面:该项目将为交通专业人员社区、从业人员和研究人员提供一个强大的综合支持,服务于一系列目的。2其次,该研究还将在应用和基础研究两个层次上为交通工程专业学生的教育活动提供支持。

项目成果

期刊论文数量(0)
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Alecsandru, Ciprian其他文献

Multi-Objective Stochastic Optimization Algorithms to Calibrate Microsimulation Models
  • DOI:
    10.1177/0361198119838260
  • 发表时间:
    2019-04-01
  • 期刊:
  • 影响因子:
    1.7
  • 作者:
    Karimi, Mohammad;Miriestahbanati, Maryam;Alecsandru, Ciprian
  • 通讯作者:
    Alecsandru, Ciprian
Two-fold calibration approach for microscopic traffic simulation models
  • DOI:
    10.1049/iet-its.2018.5369
  • 发表时间:
    2019-10-01
  • 期刊:
  • 影响因子:
    2.7
  • 作者:
    Karimi, Mohammad;Alecsandru, Ciprian
  • 通讯作者:
    Alecsandru, Ciprian

Alecsandru, Ciprian的其他文献

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{{ truncateString('Alecsandru, Ciprian', 18)}}的其他基金

A Framework to Model Mixed Conventional and Automated Vehicular Traffic: Ameliorating Operations, Safety and Environmental Impacts
混合传统和自动车辆交通建模框架:改善运营、安全和环境影响
  • 批准号:
    RGPIN-2020-06760
  • 财政年份:
    2022
  • 资助金额:
    $ 1.38万
  • 项目类别:
    Discovery Grants Program - Individual
A Framework to Model Mixed Conventional and Automated Vehicular Traffic: Ameliorating Operations, Safety and Environmental Impacts
混合传统和自动车辆交通建模框架:改善运营、安全和环境影响
  • 批准号:
    RGPIN-2020-06760
  • 财政年份:
    2021
  • 资助金额:
    $ 1.38万
  • 项目类别:
    Discovery Grants Program - Individual
A Framework to Model Mixed Conventional and Automated Vehicular Traffic: Ameliorating Operations, Safety and Environmental Impacts
混合传统和自动车辆交通建模框架:改善运营、安全和环境影响
  • 批准号:
    RGPIN-2020-06760
  • 财政年份:
    2020
  • 资助金额:
    $ 1.38万
  • 项目类别:
    Discovery Grants Program - Individual
Sustainability of Transportation Systems: Modeling Traffic Operations and Safety
交通系统的可持续性:交通运营和安全建模
  • 批准号:
    RGPIN-2015-04906
  • 财政年份:
    2019
  • 资助金额:
    $ 1.38万
  • 项目类别:
    Discovery Grants Program - Individual
Sustainability of Transportation Systems: Modeling Traffic Operations and Safety
交通系统的可持续性:交通运营和安全建模
  • 批准号:
    RGPIN-2015-04906
  • 财政年份:
    2018
  • 资助金额:
    $ 1.38万
  • 项目类别:
    Discovery Grants Program - Individual
Sustainability of Transportation Systems: Modeling Traffic Operations and Safety
交通系统的可持续性:交通运营和安全建模
  • 批准号:
    RGPIN-2015-04906
  • 财政年份:
    2017
  • 资助金额:
    $ 1.38万
  • 项目类别:
    Discovery Grants Program - Individual
Sustainability of Transportation Systems: Modeling Traffic Operations and Safety
交通系统的可持续性:交通运营和安全建模
  • 批准号:
    RGPIN-2015-04906
  • 财政年份:
    2016
  • 资助金额:
    $ 1.38万
  • 项目类别:
    Discovery Grants Program - Individual
Sustainability of Transportation Systems: Modeling Traffic Operations and Safety
交通系统的可持续性:交通运营和安全建模
  • 批准号:
    RGPIN-2015-04906
  • 财政年份:
    2015
  • 资助金额:
    $ 1.38万
  • 项目类别:
    Discovery Grants Program - Individual
A modeling framework for large-scale traffic networks
大规模交通网络建模框架
  • 批准号:
    341281-2007
  • 财政年份:
    2011
  • 资助金额:
    $ 1.38万
  • 项目类别:
    Discovery Grants Program - Individual
A modeling framework for large-scale traffic networks
大规模交通网络建模框架
  • 批准号:
    341281-2007
  • 财政年份:
    2010
  • 资助金额:
    $ 1.38万
  • 项目类别:
    Discovery Grants Program - Individual

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