The natural gas supply chain involves three main agents: producers, transportation companies, and local distribution companies (LDCs). We present a MIP model that is the basis for a decision support system developed for a Chilean LDC. This model takes into account many of the complexities of the purchasing and transportation contracts to help optimize daily purchase and transportation decisions...

With the rapid growth of multimedia data, there is an increasing need for robust multimedia database model. Such a model should be able to index spatio-temporal data thus efficient access to data whose geometry changes over time can be provided. In this paper, a spatio-temporal multimedia database model for managing transportation surveillance video data is proposed. The objective is to build a...

(FGDC) defined the transportation geographic information framework data content standard using UML class diagrams. Many transportation applications also developed data models using UML class diagrams (e.g., 6, 7 ). The UML data model supports the exchange of spatial and temporal transportation data and fosters improvements in common spatial data infrastructure through enhanced data sharing. Fur...

the global environmental concerns have put the light weighting of structures on the fore front of the research in transportation industry. among other light weight alloys, the transportation industry is considering magnesium intensive light body-in-white structure in automotive applications. although the research in modeling technique areas is very active, a suitable practical model mimicking t...

a value chain is a series of events that takes a raw material and with each step adds value to it. global interest in the application of natural gas (ng) in production and transportation has grown dramatically, representing a long-term, low-cost, domestic, and secure alternative to petroleum-based fuels. many technological solutions are currently considered on the market or in development, whic...

Existing studies on transportation mode detection from global positioning system (GPS) trajectories mainly adopt handcrafted features. These features require researchers with a professional background and do not always work well because of the complexity of traffic behavior. To address these issues, we propose a model using a sparse autoencoder to extract point-level deep features from point-le...

Researches and experiments in the field of transportation studies have proved that an effective and robust urban transportation system can favour sustainable urban development and optimisation of transportation facilities. Modelling urban transportation information is an engineering and research issue that has attracted the design of many conceptual and logical data models. However, the applica...