Development of visualization software for parcel delivery algorithms
L.S. Cras (TU Delft - Electrical Engineering, Mathematics and Computer Science)
S.R. Dahrs (TU Delft - Electrical Engineering, Mathematics and Computer Science)
A.S. Gielisse (TU Delft - Electrical Engineering, Mathematics and Computer Science)
L.R.M. Nikkels (TU Delft - Electrical Engineering, Mathematics and Computer Science)
J. Ruiter (TU Delft - Electrical Engineering, Mathematics and Computer Science)
Matthijs Spaan – Mentor (TU Delft - Algorithmics)
T.A.R. Overklift Vaupel Klein – Graduation committee member (TU Delft - Computer Science & Engineering-Teaching Team)
C.A. Hermans – Graduation committee member (Almende BV)
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Abstract
Almende B.V., a technologically innovative and research-oriented company, has been working on a new algorithm that optimizes routes for parcel delivery trucks. The algorithm contains novel features, like including the possible use of autonomous vehicles, that are at this moment in time not taken into account in existing route optimization algorithms and thus visualization applications. To this end and to get a more tangible overview of the algorithm’s behavior and performance, they requested to have a customized visualization tool developed. This report describes the process and results of developing such a tool. The tool is presented as a single-page application and has been partly depicted on the cover of this document. The goal of the project is to have a more clear overview of the routing algorithm’s capabilities, by showing its unique features on a map and displaying statistics on the side. In addition, comparing the algorithm to existing ones should provide added insights into the (expected) benefits of the new algorithm. The main purpose of the tool developed in this project is to show insight into the workings of the algorithm and to help with enhancing and developing the algorithm. An added side-bonus is that the tool can also be used to show the performance to various groups of interested parties.