Amazon’s Last Mile MIT CTL Routing Research Challenge

Trnsportation News
22-02-2021
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Despite tremendous advances in route optimization over the last decades, there remains an important gap between theoretical route planning and real-life route execution: in real-life operations, the quality of a route is not exclusively defined by its theoretical length, duration, or cost.Experienced delivery drivers have tacit knowledge about the complex operational environment in which they serve customers on a daily basis.To allow for safer, more efficient, and sustainable last-mile delivery, it is critical to leveraging this tacit information for improved route planning.

The Last Mile Challenge Objective
The primary goal of the Last Mile Routing Research Challenge is to encourage participants to develop innovative approaches leveraging artificial intelligence, machine learning, deep learning, computer vision, and other non-conventional methods to produce solutions to the route sequencing problem which outperform traditional, optimization-driven operations research methods in terms of solution quality and computational cost.
Improved Route Planning
Despite tremendous advances in route optimization over the last decades, there remains an important gap between theoretical route planning and real-life route execution.In real-life operations, the quality of a route is not exclusively defined by its theoretical length, duration, or cost.Experienced delivery drivers have tacit knowledge about the complex operational environment in which they serve customers on a daily basis.To allow for safer, more efficient, and sustainable last-mile delivery, it is critical to leveraging this tacit information for improved route planning.