Traffic Flow Pattern Based Approach to Predict Real Driving Emission Test Routes

Muhammet Aydin*, Cem Sorusbay, Hikmet Arslan

*Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: Dergiye katkıMakalebilirkişi

2 Atıf (Scopus)

Özet

Due to the poor representation of NEDC emission test, the European Commission put into the force a new procedure, which contains both a laboratory test and a real word driving test. In this new test procedure, even though WLTC replaces NEDC, it is required to test the vehicle under real traffic conditions, which contains urban, rural and highway segments. Due to the new emission regulation, considerable number of academic work focus on the creation of RDE (Real Driving Emission) routes and RDE tests. In this study, it is introduced a new methodology for creating potential RDE routes. The routes, created in MATLAB code by using Istanbul road data containing a half an hour average trip records were used to predict a probable RDE test road. This model creates a number of RDE routes starting from defined coordinates and then analyses all alternative routes with respect to traffic flow rate and RDE boundary conditions identified by the European Commission. The routes obtained using the methodology developed are tested in real life conditions and evaluated according to actual existing traffic conditions. The agreement between the results of the method and the results of the actual driving test is limited in urban road section. However, for rural and highway road sections, there is a significant agreement between the predictions and actual test results.

Orijinal dilİngilizce
Sayfa (başlangıç-bitiş)1339-1349
Sayfa sayısı11
DergiGazi University Journal of Science
Hacim36
Basın numarası3
DOI'lar
Yayın durumuYayınlandı - 2023

Bibliyografik not

Publisher Copyright:
© 2023, Gazi Universitesi. All rights reserved.

Finansman

We acknowledge the contribution of Başarsoft Ltd. to this study by providing valuable data for road traffic behaviour in Istanbul and TUBITAK (Project number 199M112) for supporting the doctoral thesis named “Modelling to Road Vehicle Exhaust Emissions According to Real Driving Conditions”.

FinansörlerFinansör numarası
Başarsoft Ltd.
Türkiye Bilimsel ve Teknolojik Araştırma Kurumu199M112

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