基于车辆总重限制的动态称重系统,为意大利一条主要高速公路进行现场交通建模和模拟

IF 3.6 2区 工程技术 Q1 ENGINEERING, CIVIL Journal of Civil Structural Health Monitoring Pub Date : 2024-05-31 DOI:10.1007/s13349-024-00809-6
Nagavinothini Ravichandran, Daniele Losanno, Maria Rosaria Pecce, Fulvio Parisi
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引用次数: 0

摘要

为了对老化的公路基础设施进行有效的安全管理,需要对车辆类型和数量不断变化的当今公路交通进行专门研究。实际交通数据可用于道路基础设施性能随机模拟、结构健康监测(SHM)、公路重量限制定义和交通信息结构安全检查的完善程序中。虽然运动中称重(WIM)系统已在许多国家得到广泛应用,但其在意大利高速公路上的安装大多是在 2018 年波尔切维拉大桥灾难性坍塌之后才开始讨论和实施的。本研究根据对位于意大利那不勒斯附近的欧洲 E45 公路沿线的两个 WIM 系统的测量结果,提出了公路交通的统计数据分析、概率模型和模拟程序。根据意大利道路法规和意大利现有桥梁风险分类、安全评估和监控指南,在两个 WIM 系统的位置分别实施了不同的最大车辆总重(GVW)限制。对 WIM 数据集进行过滤,以排除错误的交通数据,并对根据车轴数和轴距定义的车辆类别进行统计,从而推导出所有相关交通参数的概率模型。此外,还介绍了从 WIM 数据中生成随机交通负荷的模拟方法,该方法可用于道路基础设施(如桥梁)的概率性能评估和交通信息 SHM。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Site-specific traffic modelling and simulation for a major Italian highway based on weigh-in-motion systems accounting for gross vehicle weight limitations

The present-day road traffic with the persistent change in the type and volume of vehicles needs to be specifically investigated for effective safety management of aging highway infrastructures. Actual traffic data can be implemented in refined procedures for stochastic simulation of road infrastructure performance, structural health monitoring (SHM), definition of weight limits on highways, and traffic-informed structural safety checks. While weigh-in-motion (WIM) systems had been widely used in many countries, their installation on Italian highways was mostly discussed and carried out only after the catastrophic collapse of the Polcevera bridge in 2018. This study presents a statistical data analysis, probabilistic models, and a simulation procedure for highway traffic, based on measurements of two WIM systems located along European route E45 close to Naples, Italy. Different limitations to maximum gross vehicle weight (GVW) were enforced at the locations of the two WIM systems, according to the Italian road code and the Italian guidelines for risk classification, safety assessment and monitoring of existing bridges, respectively. WIM data sets were filtered to exclude erroneous traffic data and vehicle classes defined according to the number of axles and axle distance were statistically characterised, allowing the derivation of probabilistic models for all traffic parameters of interest. A simulation methodology to generate random traffic load from the WIM data is also presented for its possible use in probabilistic performance assessment and traffic informed SHM of road infrastructures such as bridges.

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来源期刊
Journal of Civil Structural Health Monitoring
Journal of Civil Structural Health Monitoring Engineering-Safety, Risk, Reliability and Quality
CiteScore
8.10
自引率
11.40%
发文量
105
期刊介绍: The Journal of Civil Structural Health Monitoring (JCSHM) publishes articles to advance the understanding and the application of health monitoring methods for the condition assessment and management of civil infrastructure systems. JCSHM serves as a focal point for sharing knowledge and experience in technologies impacting the discipline of Civionics and Civil Structural Health Monitoring, especially in terms of load capacity ratings and service life estimation.
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