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Transportation network design involving antagonist users

Transportation network design involving antagonist users
涉及对抗用户的交通网络设计
批准号:
459003-2013
负责人:
Gendron, Bernard
金额:
$2.91万
依托单位:
依托单位国家:
加拿大
项目类别:
Collaborative Research and Development Grants
财政年份:
2014
资助国家:
加拿大
项目状态:
已结题
起止时间:
2014-01-01 至 2015-12-31

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中文摘要
翻译
我们研究了一个运输网络管理者的背景,他想要对基础设施、资产和资源的部署做出决策,以实现其目标。管理者的目标通常包括经济效率、环境影响、安全和保障。网络管理人员必须考虑到有几类用户,其中大多数用户在管理人员规定的规则内追求自己的目标,而其他用户的目标则与管理人员的目标相反。我们的目标是开发方法和决策软件工具,以帮助交通网络管理者。我们的方法是基于应用于交通规划的运筹学模型和方法,这一领域在过去几十年里取得了大量的科学和工业成功。据我们所知,涉及敌对用户的交通网络设计在科学界很少受到关注。此外,我们不知道在这个特定的应用领域有任何商业开发决策软件工具。我们的科研成果将转交给加拿大的INRO公司,该公司在交通规划决策软件工具领域已经是世界级的领导者。我们的研究灵感来自于魁北克省政府负责魁北克省道路运输安全和保障的机构Contrôle routier quacribec (CRQ)的实际应用。作为我们项目的直接成果,该软件将由INRO在国际上商业化,并由CRQ部署,以帮助其决策过程。加拿大其他专门负责车辆检查和道路安全的省级机构也应该从我们开发的技术中受益。此外,我们期望这些方法和软件对运筹学和交通规划产生重大影响。除INRO外,CRQ也以现金和实物捐助支持该项目。
英文摘要
We study the context of a transportation network manager who wants to take decisions on infrastructures, assets and resources to deploy in order to achieve its objectives. The manager's objectives typically involve a combination of economic efficiency, environmental impact, safety and security. The network manager has to take into account that there are several classes of users, most of which pursue their own objectives within the rules stated by the manager, while others have objectives that are antagonist to those of the manager. Our goal is to develop methodology and decision-making software tools to help the transportation network manager. Our approach is based on operations research models and methods applied to transportation planning, an area that has achieved a large number of scientific and industrial successes over the last decades. To the best of our knowledge, the design of transportation networks involving antagonist users has received little attention in the scientific community. In addition, we are not aware of any commercial exploitation of decision-making software tools in this specific application area. Our scientific contributions will be transferred to a Canadian company, INRO, which is already a world-class leader in the field of decision-making software tools for transportation planning. Our research is inspired by a real application from Contrôle routier Québec (CRQ), the agency of the government of Quebec responsible for the safety and security of road transportation in Quebec. As direct results of our project, the software will be commercialized by INRO internationally and deployed by CRQ to help its decision-making process. Other Canadian provincial agencies dedicated to vehicle inspection and road safety and security should also benefit from the technology we develop. Furthermore, we expect the methods and software to have a significant impact on operations research and transportation planning. In addition to INRO, CRQ is also supporting the project with cash and in-kind contributions.
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