Modelling truck loads on secondary rural highway networks

对二级农村公路网络上的卡车负载进行建模

• 批准号: RGPIN-2020-05342
• 负责人: Regehr, Jonathan
• 金额: $ 1.89万
• 依托单位: University of Manitoba
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=740521
• 关键词: Modelling; truck; loads; secondary; rural

Safe and reliable secondary highway networks are critical economic enablers for rural communities and industries across Canada. As pavement and bridge design and management approaches continue to advance, technological, methodological, and resource constraints limit the availability of the truck load data that these approaches require. These constraints are especially pertinent for low-volume, rural highways. Moreover, growing public expectations for transparent decision-making compel public agencies to use quality and representative truck load data, rather than more simplistic and sometimes unrealistic load approximations. Today, civil engineers need truck load data when they: 1.plan and prioritize road maintenance activities; 2.design pavement for new road construction or major rehabilitation projects; 3.evaluate the effects of truck loads on the life of bridges; 4.formulate cost-effective strategies for managing road infrastructure assets; and 5.assess the compliance of truck loads relative to regulatory limits. The goal of the research proposed for the coming five-year period is to develop and validate a cost-effective modelling approach to estimate truck loads on rural highways. This contributes to my long-term research goal to support the data-driven design and management of rural highway infrastructure. Specifically, the short-term objectives of the proposed research are: 1.to systematically analyze truck traffic characteristics and patterns generated by predominant regional industries (e.g., agriculture, forestry, petroleum); 2.to evaluate a new monitoring technology, yet to be deployed in Canada, which uniquely identifies the axle configuration and body type (e.g., hopper, flat deck, tanker) of trucks; and 3.to apply spatial analysis and machine learning tools to predict truck load distributions at locations on the secondary highway network without direct measurement. The outcomes of the proposed research are novel and significant for civil engineering research and practice in Canada. The application of modern analytical tools and new technologies builds an essential knowledge base for Canadian researchers and practitioners who recognize the challenges of transferring certain methods and findings from other jurisdictions to the unique Canadian industrial and regulatory context. Moreover, the proposed research approach provides this new knowledge without the implementation of complex and costly new truck load monitoring programs. While significant on their own, these benefits pale in comparison to the unquantified benefits derived from more informed decision-making and from the training of more informed and highly qualified decision-makers. Ultimately, the proposed research enables the provision of safer and more reliable rural highway infrastructure that cost-effectively meets the demands of Canadian industries, communities, and citizens.

安全可靠的二级公路网络是加拿大农村社区和工业的重要经济推动者。随着路面和桥梁设计和管理方法的不断进步，技术、方法和资源的限制限制了这些方法所需的卡车负载数据的可用性。这些限制对于低运量的乡村公路尤其重要。此外，公众对透明决策的期望不断提高，迫使公共机构使用高质量和有代表性的卡车负载数据，而不是更简单且有时不切实际的负载近似值。如今，土木工程师在执行以下操作时需要卡车负载数据： 1. 规划道路维护活动并确定其优先顺序； 2.新建道路建设或重大修复项目的路面设计； 3.评估卡车荷载对桥梁寿命的影响； 4.制定具有成本效益的道路基础设施资产管理策略； 5.评估卡车负载相对于法规限制的合规性。 未来五年提出的研究目标是开发和验证一种经济有效的建模方法来估计农村公路上的卡车负载。这有助于实现我的长期研究目标，即支持农村公路基础设施的数据驱动设计和管理。具体而言，本研究的短期目标是： 1.系统分析主要区域产业（如农业、林业、石油）产生的卡车交通特征和模式； 2.评估加拿大尚未部署的新监控技术，该技术能够唯一识别卡车的车轴配置和车身类型（例如料斗、平甲板、油罐车）； 3.应用空间分析和机器学习工具来预测二级公路网络上各个位置的卡车负载分布，而无需直接测量。拟议研究的成果对于加拿大的土木工程研究和实践来说是新颖且重要的。现代分析工具和新技术的应用为加拿大研究人员和从业人员建立了重要的知识库，他们认识到将某些方法和研究结果从其他司法管辖区转移到加拿大独特的工业和监管环境中所面临的挑战。此外，所提出的研究方法提供了这种新知识，而无需实施复杂且昂贵的新卡车负载监控计划。虽然这些好处本身就很重要，但与更明智的决策以及培训更明智和高素质的决策者所带来的未量化的好处相比，就显得苍白无力了。最终，拟议的研究能够提供更安全、更可靠的农村公路基础设施，经济高效地满足加拿大工业、社区和公民的需求。