New Continuous Approximation Models for Passenger and Freight Transportation
The purpose of this project is to discover new continuous approximation models for modern logistical problems, such as last-mile delivery and the adoption of teleworking. The continuous approximation paradigm is a quantitative method for solving logistics problems in which one uses a small set of parameters to model a complex system, which results in a simple algebraic equation that is easier to manage than (for example) a large-scale optimization model. As a further benefit, one often obtains insights from these simpler formulations that help to determine what affects the outcome most significantly. Continuous approximation models have been used for over 60 years to study classical logistical problems, but modern logistical systems bring new levels of complexity that existing models do not address. This project combines tools from geospatial optimization, computational geometry, and geometric probability theory to formulate new models that will enable practitioners and policy-makers to solve these new problems, and most importantly, to identify what features are most impactful in their real-world use.
- Record URL:
- Summary URL:
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Supplemental Notes:
- This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
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Corporate Authors:
Pacific Southwest Region University Transportation Center
University of Southern California
Los Angeles, CA United States 90089METRANS Transportation Consortium
University of Southern California
Los Angeles, CA United StatesOffice of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Authors:
- Carlsson, John Gunnar
- 0000-0001-5346-8529
- Publication Date: 2022-7-29
Language
- English
Media Info
- Media Type: Digital/other
- Edition: Final Report
- Features: Appendices; Figures; Photos; References;
- Pagination: 39p
Subject/Index Terms
- TRT Terms: Approximation (Mathematics); Logistics; Routing
- Subject Areas: Freight Transportation; Passenger Transportation; Planning and Forecasting;
Filing Info
- Accession Number: 01885141
- Record Type: Publication
- Report/Paper Numbers: PSR-21-22
- Contract Numbers: 69A3551747109
- Files: UTC, NTL, TRIS, ATRI, USDOT
- Created Date: Jun 20 2023 10:05AM