Paper Info
Title
RSUs placement using cumulative weight based method for urban and rural roads
Abstract
Intelligent Transportation Systems (ITS) deployment became a need nowadays in order to improve quality and efficiency of transportation systems. However, an effective distribution of Roadside Units (RSUs) is considered to be one of the main challenges for deployment of roadside networks, especially due to the wide range of influencing factors that can affect the distribution process. Some of these influencing factors are traffic, topological and infrastructure characteristics of the roads and technology used. This paper introduces the Cumulative Weight based Method (CWM) as a solution to the placement problem in the urban, rural and mountainous areas. The CWM gets the weight of each Site of Interest (SoI) and adds the weights of the surrounding neighbors to its weight and considers the highest weight first in the distribution process. The CWM during the current state of development considers working with the radius of RSUs and connectivity requirements. Moreover, it will be influenced by many other factors. The tests conducted on selected areas in Rostock (Germany) and Spiringen (Switzerland) showed: (1) a reduction in the number of SoIs compared to the original number acquired during the scanning process; (2) only the highest priority SoIs are chosen as the best location for an RSU placement; (3) 3D space calculations for distance on mountainous areas gave a different, more accurate results than 2D space calculations.
Year
DOI
Venue
2015
10.1109/RNDM.2015.7325245
2015 7th International Workshop on Reliable Networks Design and Modeling (RNDM)
Keywords
Field
DocType
ITS Deployment,Road Access Network (RAN),RSUs placement/distribution,Cumulative Weight based Method (CWM),junctions priority,urban,rural and mountainous roads,3D space
Software deployment,Transport engineering,Cwm,Robustness (computer science),Software,Intelligent transportation system,Geography
Conference
ISBN
Citations 
PageRank 
978-1-4673-8050-8
2
0.37
References 
Authors
6
3
Name
Order
Citations
PageRank
Ahmed Makkawi120.37
Robil Daher2306.54
Ramy Rizk320.37