Publication

Three challenges in route choice modeling

Michel Bierlaire
2007
Talks

Abstract

Route choice models play an important role in many aspects of transportation analysis, when the usual shortest path paradigm is too unrealistic (real-time information systems, traffic simulation, etc.). Developing operationnal route choice models involves various challenges. In this talk, we will consider 3 of them: - data collection, - the large size of the choice set, - the high correlation among the alternatives. For each of them, we will identify the difficulties, and present recent research results developed at EPFL.

Official source

https://infoscience.epfl.ch/entities/publication/feb57522-b0ad-4927-aed9-9a4ae7fd1a59

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Michel Bierlaire
2007
Talks

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/feb57522-b0ad-4927-aed9-9a4ae7fd1a59

About this result

Related concepts (29)

Transportation planning

Transportation planning is the process of defining future policies, goals, investments, and spatial planning designs to prepare for future needs to move people and goods to destinations. As practiced today, it is a collaborative process that incorporates the input of many stakeholders including various government agencies, the public and private businesses. Transportation planners apply a multi-modal and/or comprehensive approach to analyzing the wide range of alternatives and impacts on the transportation system to influence beneficial outcomes.

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Route assignment, route choice, or traffic assignment concerns the selection of routes (alternatively called paths) between origins and destinations in transportation networks. It is the fourth step in the conventional transportation forecasting model, following trip generation, trip distribution, and mode choice. The zonal interchange analysis of trip distribution provides origin-destination trip tables. Mode choice analysis tells which travelers will use which mode.

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Transportation forecasting is the attempt of estimating the number of vehicles or people that will use a specific transportation facility in the future. For instance, a forecast may estimate the number of vehicles on a planned road or bridge, the ridership on a railway line, the number of passengers visiting an airport, or the number of ships calling on a seaport. Traffic forecasting begins with the collection of data on current traffic. This traffic data is combined with other known data, such as population, employment, trip rates, travel costs, etc.

Related publications (2)

Three challenges in route choice modeling

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