Operationalizing connected and automated truck platooning on Canadian highway infrastructure for GHG emissions mitigation
Operationalizing connected and automated truck platooning on Canadian highway infrastructure for GHG emissions mitigation
批准号:
577207-2022
负责人:
Yang, CancanC
金额:
$8.76万
依托单位:
依托单位国家:
加拿大
项目类别:
Alliance Grants
财政年份:
2022
资助国家:
加拿大
项目状态:
已结题
起止时间:
2022-01-01 至 2023-12-31
中文摘要
在接下来的几十年里,随着互联和自动驾驶车辆(CAV)技术的部署,卡车货运预计将发生革命性的变化。这一转变预计将在以下两个方面减少燃料消耗和温室气体排放:1)车辆层面:考虑减少空气阻力的排队卡车的合作运营;2)网络层面:通过缓解交通拥堵,采用高效使用高速公路。虽然这是令人鼓舞的,但有关的基础设施规划和所需的资源,以应付预期对我们的公路系统的压力,已经落后。为了解决这一差距,拟议项目的目标是为以下两个问题提供答案:1)需要什么样的卡车排控制战略、交通管理和基础设施调整才能充分发挥CAV的排放效益?2)到2050年,实际可以实现多少CAV支持的温室气体减排?解决这些问题需要来自五个不同学科的政策制定者、从业者和研究人员的协同努力:结构、交通、空气动力学、优化和人工智能/机器学习,这损害了研究团队和合作伙伴成员。因此,拟议的项目将生成实验数据和分析工具,以使基础设施和交通相关的解决方案能够解决在现有加拿大公路系统上推广卡车成排的挑战。这些解决方案包括1)制定基础设施安全合理的排作业法规;2)制定适应措施,使加拿大公路基础设施不受未来影响,使CAV的温室气体惠及全国;3)优化车辆级别的排控策略和网络级别的交通管理,最大限度地减少温室气体排放。拟议的伙伴关系将创建一个独特的知识共享平台,帮助政策制定者和利益攸关方驾驭CAV技术的复杂路径--允许加拿大公路货运中温室气体排放的变革性减少。
英文摘要
Over the next decades, truck freight transport is expected to undergo revolutionary changes with the deployment of 'Connected and Autonomous Vehicles' (CAV) technologies. This transformation is expected to reduce fuel consumption and GHG emissions at both the: 1) vehicle level: considering the cooperative operation of platooned trucks with reduced air drag; and 2) network level: adopting efficient use of highways through traffic congestion mitigation. While this is encouraging, the associated infrastructure planning and resources required to accommodate the expected pressures on our highway systems have fallen behind. To address this gap, the objective of the proposed project is to provide answers to the following two questions: 1) What truck platoon control strategies, traffic management, and infrastructure adaptations are needed to realize the full potential of CAV's emission benefits? 2) How much, realistically, CAV-enabled GHG abatement can be achieved by 2050? Addressing these questions requires a concerted effort from the policymakers, practitioners, and researchers from five distinct disciplines: Structures, Transportation, Aerodynamics, Optimization, and AI/Machine Learning, which compromise the research team and partnership members.As a result, the proposed project will generate experimental data and analytical tools to enable both infrastructure- and transportation-related solutions to the challenges of rolling out truck platooning on existing Canadian highway systems. These solutions include 1) formulation of infrastructure safety sensible regulations on platoon operation; 2) development of adaptation measures that will future-proof Canadian highway infrastructure to proliferate the CAV's GHG benefits to the national scale; 3) optimization of vehicle-level platoon control strategies and network-level traffic management to maximize GHG reductions. The proposed partnership will create a unique knowledge-sharing platform to assist policymakers and stakeholders in navigating the complex pathways for CAV technologies - allowing for transformational reductions in GHG emissions within Canadian road freight transportation.
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国内基金
海外基金
下一代互联网中支持ABC的公平自适应智能QoS感知型路由选择机制的研究
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批准号:60473089
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项目类别:面上项目
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资助金额:5.0万元
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批准年份:2004
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负责人:王兴伟
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依托单位: