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: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=717603
• 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.

安全可靠的二级高速公路网络是加拿大农村社区和行业的关键经济推动力。随着路面和桥梁的设计和管理方法继续前进，技术，方法论和资源限制限制了这些方法所需的卡车负载数据的可用性。这些限制与小批量农村高速公路特别相关。此外，公众对透明决策的期望日益提高，强迫公共机构使用质量和代表性的卡车负载数据，而不是更简单，有时甚至是不切实际的负载近似值。 今天，土木工程师需要卡车负载数据： 1。计划和优先考虑道路维护活动； 2。设计新道路建设或重大康复项目的人行道； 3。评估卡车负荷对桥梁寿命的影响； 4。制定管理道路基础设施资产的成本效益策略；和 5。评估卡车载荷相对于监管限制的依从性。 在接下来的五年期间，提出的研究的目的是开发和验证一种具有成本效益的建模方法来估计农村高速公路上的卡车负载。这有助于我的长期研究目标，以支持农村高速公路基础设施的数据驱动设计和管理。具体而言，拟议研究的短期目标是： 1。系统地分析主要地区工业产生的卡车交通特征和模式（例如农业，林业，石油）； 2。评估尚未在加拿大部署的新监测技术，该技术独特地识别了卡车的车轴配置和车身类型（例如，料斗，扁平甲板，油轮）；和 3。应用空间分析和机器学习工具来预测次级高速公路网络上位置的卡车负载分布，而无需直接测量。 拟议研究的结果是新颖的，对于加拿大的土木工程研究和实践而言是重要的。现代分析工具和新技术的应用为加拿大研究人员和从业者建立了基本知识库，他们认识到将某些方法和发现从其他司法管辖区转移到独特的加拿大工业和监管环境的挑战。此外，建议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。尽管与更明智的决策以及对更明智和高素质的决策者的培训相比，这些收益本身很重要，但这些福利却苍白了。最终，拟议的研究使提供更安全，更可靠的农村高速公路基础设施，以成本效益地满足加拿大行业，社区和公民的需求。