Analyzing real-world smart city logistic problems with graph theory

  • Aditya Robin Singh, Vikash Yadav
Keywords: Route Planning, Smart Logistics, Graph Optimization, Smart City

Abstract

In India, recent research was conducted in the Delhi Region, a testing tool was installed in two moving vehicles throughout the district so that an in-depth study could be conducted of mobile broadband scenarios. This paper provides an overview of the project plan, focusing on a well-presented transportation problem challenges. In this paper, we propose a solution to the non-minor problem of route planning, one that ensures the entire 17.596 km of roads in the region and those whose hours of operation are challenging. A combination of GIS and graphs used in theory and built into real-world reality allows for the implementation of projects. One of the anticipated use cases for mobile networks is to allow active network connectivity between devices and data processors to perform data operations. Hence, the results obtained from all of the above measurement projects could be used to test whether a broadband infrastructure is available to distribute Smart City cyber-physical programs and how those programs should be made available.

Published
2021-12-24
How to Cite
Vikash Yadav , A. R. S. (2021). Analyzing real-world smart city logistic problems with graph theory . Design Engineering, 8585-8594. Retrieved from http://thedesignengineering.com/index.php/DE/article/view/8164
Section
Articles