The Weakness of Robustness

Research on Urban Road Network Operation Characteristics Using Data Fusion among ETC, FCD, and DSRC Data

Early detection of congestion is essential to traffic management. Conventional loop or microwave detectors provide flow and speed information but involve significant delays and they offer sparse coverage. To improve this situation, other data sources must be used. This paper investigates the potential use of floating car data (FCD) and ETC ...

Characterization of precipitation through copulas and expert judgement for risk assessment of infrastructure

In this paper two methodologies are investigated that contribute to better assessment of risks related to extreme rainfall events. Firstly, one-parameter bivariate copulas are used to analyze rain gauge data in the Netherlands. Out of three models considered, the Gumbel copula, which indicates upper tail dependence, represents the data most...

Experimental investigation on rapid filling of a large-scale pipeline

This study presents the results from detailed experiments of the two-phase pressurized flow behavior during the rapid filling of a large-scale pipeline. The physical scale of this experiment is close to the practical situation in many industrial plants. Pressure transducers, water-level meters, thermometers, void fraction meters, and flow meters...

Creating the Dutch national BIM levels of development

This paper describes the research and development of the Dutch national standard for information levels of BIM. The US-developed "Levels of Development" (LOD) have become increasingly popular in the Netherlands. However, more and more projects felt the need to develop an additional LOD250 and LDO350. It became clear that the Dutch design-and...

Large-scale hybrid Bayesian network for traffic load modeling from weigh-in-motion system data

Traffic load plays an important role not only in the design of new bridges but also in the reliability assessment of existing structures. Weigh-in-motion systems are used to collect data to determine traffic loads. In this paper, the potential of hybrid nonparametric Bayesian networks (BNs) is demonstrated for modeling the complex data measured...