Food Delivery Using Cargo-Bikes with IoT

  • Srdjan TegeltijaEmail author
  • Gordana Ostojić
  • Stevan Stankovski
  • Dragan Kukolj
  • Branislav Tejić
Conference paper
Part of the Lecture Notes on Multidisciplinary Industrial Engineering book series (LNMUINEN)


In order to reduce noise and limit air pollution, there is a trend of limiting or prohibiting entry by motor vehicles in urban areas. This has a major impact on the delivery of food in urban zones with classic delivery vehicles (trucks, vans, cars, etc.). The cargo bikes can carry loads of up to 100 kg in large front-mounted boxes that are suitable to transport goods and they are perfectly suited for inner-city transportation, because they are quiet, emission-free, and less disturbing for the citizens. In this paper a proposed solution for a system for food delivery using cargo-bikes with IoT is described. This system consists of test application for mobile phones for users, sensory units placed in packets of fresh food products or in bikes cargo compartments and server application with a database. The users of the system are all participants in the chain of distribution of fresh food products: producers and sellers of fresh food products, deliverers of fresh food products and consumers of fresh food products. Developed system was tested and results gathered in test period from system users are represented in this paper.


Cargo-bike Internet of Things Delivery 



This research has been supported by the Provincial Secretariat for Higher Education and Scientific Research of Autonomous Province of Vojvodina, Republic of Serbia, through the project: “Implementation of IoT tracking system for fresh food produces from Vojvodina”, and Ministry of Education, Science and Technological Development, Government of the Republic of Serbia, through the project: III46001 - “Development and application of new and traditional technologies in competitive food manufacturing value-added products for the domestic and global market - create wealth from the riches of Serbia”, and TR35001 -“Automated systems for identification and tracking of objects in industrial and non-industrial systems”.


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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Faculty of Technical SciencesUniversity of Novi SadNovi SadSerbia

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