United States-European Commission Urban Freight Twinning Initiative: Compendium of Project Summaries
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Research | United States |
This project will formulate a large-scale numerical optimization model for the design and planning of urban distribution networks serving small retail customers (e.g., convenience stores, bars, supermarkets) in densely populated and congested urban markets. The model will address the following:
To depict urban complexities as accurately as possible, the model will be designed to incorporate various sources of relevant (big) data from sources such as company order and delivery data, high-resolution Global Positioning System (GPS) traces from the current delivery fleet, publicly available data such as travel times and distances from Google Maps, geo-referenced information on real-estate cost and crime incidents.
Research
October 2016 - August 2017
Bogotá, Colombia
Matthias Winkenbach
Director
MIT Megacity Logistics Lab Center for Transportation & Logistics
(857) 253-1639
MWinkenb@mit.edu
MIT will produce a data-driven network design tool to be used by Coca-Cola Femsa in its strategic design and operational planning of urban last-mile distribution to consumers in major Latin American and Asian cities. The tool will allow Femsa to operate:
MIT develops novel methods of incorporating large amounts of high-resolution data from various sources into improved, large-scale, mathematical optimization models for the design and planning of distribution networks. In particular, MIT uses the following data sources to better inform models of numerical network optimization and geometric probability methods for route length and cost estimation:
Private-sector research partner: Coca-Cola Femsa, the largest global bottler of Coca-Cola.
United States Department of Transportation - Federal Highway Administration |