A Parametric Evaluation of IoT Applications to Freight Transportation Using Model-Based Systems Engineering
Date of Award
Master of Science (MS)
Computer Engineering and Sciences
Aldo Fabregas Ariza
Luis Daniel Otero
Rodrigo Mesa Arango
Industrial Internet of Things or IIoT consists of computing and communication at the operational edge of a value chain. Applications span manufacturing, energy, and transportation, among others. In the transportation context, IIoT translates to connected vehicle architecture and ITS applications. Current trends in communication allow more applications and devices to contribute to functions traditionally allocated to transportation ITS infrastructure. This poses challenges to design engineers to prototype emerging technologies in the existing transportation context and reduce integration, validation, and time to market. Model-based systems engineering is crucial step for IIoT deployment since it allows for a feature-rich digital representation of the interaction of the system of interest and its context. This representation includes stakeholders, requirements, behaviors, flows, and numerical analyses associated with the solution space of the system of interest. This work presents an executable architecture developed in the System Modeling Language (SysML) in the domain of freight operations for trucks to and from maritime ports. The architecture was modeled in a way that it can be customized based on the presence or absence of services or devices in the deployment context (e.g. developing country, rural area). The model takes into consideration maritime port capabilities, truck communication capabilities, infrastructure capabilities and third-party actor’s capabilities (e.g. customs, freight forwarders). These integrations are typically part of larger initiatives such as supply chain integrations or port community systems. An example of parametric analysis and model-based metrics is presented.
Crawford, Paul George, "A Parametric Evaluation of IoT Applications to Freight Transportation Using Model-Based Systems Engineering" (2020). Theses and Dissertations. 775.