Your browser does not allow JavaScript!
JavaScript is necessary for the proper functioning of this website. Please enable JavaScript or use a modern browser.
Repository of the University of Ljubljana
Open Science Slovenia
Open Science
DiKUL
slv
|
eng
Search
Advanced
New in RUL
About RUL
In numbers
Help
Sign in
Details
The influence of different driving parameters on traffic with a cellular automata model
ID
Rigler, Andrej
(
Author
),
ID
Turk, Goran
(
Author
)
PDF - Presentation file,
Download
(3,06 MB)
MD5: 1CBC0C032B25F2E31F485811337C6848
URL - Source URL, Visit
https://www.mdpi.com/2076-3417/15/23/12404
Image galllery
Abstract
Reliable traffic simulations with high-quality results contribute to the understanding of the traffic system and effective planning. In this article, firstly, an existing cellular automata (CA) model is modified to perform a comprehensive analysis of the influence of key parameters on traffic flow and average velocity. The simulations are conducted with realistic parameter values under heterogeneous conditions. Based on a safety analysis, a novel adaptive acceleration capability is developed, allowing vehicles to accelerate or decelerate at the desired acceleration/deceleration rate depending on the current road conditions. Secondly, the reaction time parameter is introduced into the model to study its impact on traffic under homogeneous and heterogeneous conditions. Thirdly, the model can simulate traffic flow according to different maximum velocities. Additionally, the influence of the maximum acceleration rate on traffic is studied. The results show t hat the maximum traffic flow at a maximum velocity of 60 km/h and a reaction time of 1 s is 2198 vehicles/h at a density of 0.29 vehicle/cell in adaptive acceleration mode. Generally, the adaptive acceleration capability increases traffic flow by up to 30% at densities of less than 0.7 vehicle/cell and even more at higher densities. Similarly, a 0.2 s lower reaction time increases traffic flow by up to 40%. At a maximum velocity of 110 km/h, the maximum traffic flow is 23% higher than at 50 km/h. However, the maximum velocity has little effect on traffic flow at higher densities. The maximum acceleration rate has a limited impact on traffic flow.
Language:
English
Keywords:
adaptive acceleration
,
heterogeneous conditions
,
microscopic traffic flow models
,
cellular automata
,
reaction time
Work type:
Article
Typology:
1.01 - Original Scientific Article
Organization:
FGG - Faculty of Civil and Geodetic Engineering
FF - Faculty of Arts
Publication status:
Published
Publication version:
Version of Record
Year:
2025
Number of pages:
27 str.
Numbering:
Vol. 15, issue 23 , art. 12404
PID:
20.500.12556/RUL-176182
UDC:
004.94:656.1
ISSN on article:
2076-3417
DOI:
10.3390/app152312404
COBISS.SI-ID:
258410755
Publication date in RUL:
24.11.2025
Views:
108
Downloads:
15
Metadata:
Cite this work
Plain text
BibTeX
EndNote XML
EndNote/Refer
RIS
ABNT
ACM Ref
AMA
APA
Chicago 17th Author-Date
Harvard
IEEE
ISO 690
MLA
Vancouver
:
Copy citation
Share:
Record is a part of a journal
Title:
Applied sciences
Shortened title:
Appl. sci.
Publisher:
MDPI
ISSN:
2076-3417
COBISS.SI-ID:
522979353
Licences
License:
CC BY 4.0, Creative Commons Attribution 4.0 International
Link:
http://creativecommons.org/licenses/by/4.0/
Description:
This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Secondary language
Language:
Slovenian
Keywords:
prilagodljiv pospešek
,
heterogeni pogoji
,
mikroskopski modeli prometnega toka
,
celična avtomata
,
reakcijski čas
Projects
Funder:
ARIS - Slovenian Research and Innovation Agency
Project number:
P2-0260
Name:
Mehanika konstrukcij
Similar documents
Similar works from RUL:
Similar works from other Slovenian collections:
Back