Publication

Evaluation of pedestrian data collection methods within a simulation framework

Michel Bierlaire
2010
Conference Papers

Abstract

The estimation and validation of pedestrian behavioral models requires large amounts of detailed and appropriate data, the collection of which is a costly and time-consuming undertaking. The identification and design of an appropriate data collection method therefore is of great importance, which, however, is an arduous and itself time-consuming task. This article describes a software laboratory that facilitates the design of pedestrian data collection campaigns.

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Michel Bierlaire
2010
Conference Papers

Abstract

Official source

Related concepts (14)

Data

In common usage and statistics, data (USˈdætə; UKˈdeɪtə) is a collection of discrete or continuous values that convey information, describing the quantity, quality, fact, statistics, other basic units of meaning, or simply sequences of symbols that may be further interpreted formally. A datum is an individual value in a collection of data. Data is usually organized into structures such as tables that provide additional context and meaning, and which may themselves be used as data in larger structures.

Data collection

Data collection or data gathering is the process of gathering and measuring information on targeted variables in an established system, which then enables one to answer relevant questions and evaluate outcomes. Data collection is a research component in all study fields, including physical and social sciences, humanities, and business. While methods vary by discipline, the emphasis on ensuring accurate and honest collection remains the same.

Data science

Data science is an interdisciplinary academic field that uses statistics, scientific computing, scientific methods, processes, algorithms and systems to extract or extrapolate knowledge and insights from noisy, structured, and unstructured data. Data science also integrates domain knowledge from the underlying application domain (e.g., natural sciences, information technology, and medicine). Data science is multifaceted and can be described as a science, a research paradigm, a research method, a discipline, a workflow, and a profession.

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Evaluation of pedestrian data collection methods within a simulation framework

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