Truck Route - Smart Routing einer Logistikplattform

Kyburz, Cyril and Scheiwiller, Sandro (2019) Truck Route - Smart Routing einer Logistikplattform. Student Research Project thesis, HSR Hochschule für Technik Rapperswil.

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Abstract

Problem:
Recycling containers need to be regularly emptied using trucks. Live Track AG, a new startup, wants to support the process of emptying these containers. To achieve this, the recycling containers will be equipped with sensors, which will transmit their current filling level to the cloud.

Goal:
Based on the collected data the aim of this project is to assist the operator in planning routes for the collection of containers by providing various optimized routes. The routes should be optimized for the ratio between the amount loaded and the kilometers driven.

Procedure:
To achieve this a stateless HTTP API was implemented which returns four optimized routes based on four different selection strategies. Furthermore a React app to demonstrate the power of the API was developed. Both applications were developed using the programming language TypeScript and deployed into the AWS Cloud. They also share a similar Continuous Integration and Continuous Deployment setup.

Result:
The result is a fully tested and robust API that is vertically and horizontally scalable and allows to calculate optimized routes. It is documented with Swagger and paired with a web app to demonstrate and test the API.

Item Type: Thesis (Student Research Project)
Subjects: Area of Application > Industry
Area of Application > Mobile > Mobile App
Area of Application > GIS
Area of Application > GIS > Google Maps
Technologies > Programming Languages > Java Script
Technologies > Protocols > HTTP/S
Technologies > Web
Brands > Google
Divisions: Bachelor of Science FHO in Informatik > Student Research Project
Depositing User: OST Deposit User
Contributors:
Contribution
Name
Email
Thesis advisor
Stocker, Mirko
UNSPECIFIED
Date Deposited: 26 Mar 2019 06:48
Last Modified: 26 Mar 2019 06:48
URI: https://eprints.ost.ch/id/eprint/752

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