TY - JOUR
T1 - Dynamic vehicular traffic load
T2 - Definition and quantification
AU - Ostermayer, Gerald
AU - Backfrieder, Christian
AU - Lindorfer, Manuel
N1 - Publisher Copyright:
Copyright © 2019.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2019
Y1 - 2019
N2 - In this paper, we introduce a method that quantifies the amount of traffic over time by the help of a cloud calculation service and vehicular communication. Furthermore, the approach is applicable also in vehicular traffic simulations, which are widely used in research to demonstrate the effects of proposed solutions to traffic problems. As unused road segments strongly influence the overall traffic load (i.e. used vs full road capacity), we propose a methodology that dynamically calculates the load over time and considers whether specific parts of the road network are used. We introduce two possibilities to filter out distortion of the created statistics due to variation in usage over time. Our novel approach is both simple but widely configurable to fit individual needs. The approach is proven by simulations and application of the load calculation in combination with an intelligent route optimization approach by comparing the optimization gain with the calculated traffic load.
AB - In this paper, we introduce a method that quantifies the amount of traffic over time by the help of a cloud calculation service and vehicular communication. Furthermore, the approach is applicable also in vehicular traffic simulations, which are widely used in research to demonstrate the effects of proposed solutions to traffic problems. As unused road segments strongly influence the overall traffic load (i.e. used vs full road capacity), we propose a methodology that dynamically calculates the load over time and considers whether specific parts of the road network are used. We introduce two possibilities to filter out distortion of the created statistics due to variation in usage over time. Our novel approach is both simple but widely configurable to fit individual needs. The approach is proven by simulations and application of the load calculation in combination with an intelligent route optimization approach by comparing the optimization gain with the calculated traffic load.
KW - Cloud service
KW - Vehicular communication
KW - Vehicular traffic
KW - Vehicular traffic load quantification
UR - http://www.scopus.com/inward/record.url?scp=85071939512&partnerID=8YFLogxK
U2 - 10.18080/ajtde.v7n2.191
DO - 10.18080/ajtde.v7n2.191
M3 - Article
AN - SCOPUS:85071939512
SN - 2203-1693
VL - 7
SP - 74
EP - 91
JO - Australian Journal of Telecommunications and the Digital Economy
JF - Australian Journal of Telecommunications and the Digital Economy
IS - 2
ER -