Cellular automaton model for three-lane urban road considering Internet of Vehicles lane

2020 ◽  
Vol 31 (12) ◽  
pp. 2050179
Author(s):  
Han-Tao Zhao ◽  
Xin Zhao ◽  
Liu-Yan Xin
Keyword(s):  
Cellular Automata ◽  
Traffic Flow ◽  
Road Traffic ◽  
Connected Vehicles ◽  
Cellular Automata Model ◽  
Internet Of Vehicles ◽  
Urban Road ◽  
Long Time ◽  
Set Up ◽  
Space Occupation

Although the technology of Internet of Vehicles (IoV) is developing rapidly, it will still take a long time to realize its overall popularization. Aimed at this transition phase, this paper proposes to set up an IoV lane on the urban road, which is specially designed for the connected vehicles, to provide a better driving environment for the connected vehicles. Considering the operation characteristics of traffic flow under traditional and IoV environment, this paper establishes a three-lane cellular automata model for urban road traffic flow considering IoV lane, modified on the basis of the Modified Comfortable Driving (MCD) model and symmetric two-lane cellular automata (STCA) model, and then takes simulation by MATLAB and makes analysis. The result shows that the setting of IoV lane can improve the velocity of networked vehicles to a great extent with no or just a bit decline in the ordinary vehicles’ speed, and it has a great effect on the mixture traffic flow, including the increase in both traffic volume and the average speed. What’s more, when the networking proportion is between 0.2 and 0.76, and the space occupation ranges from 0.18 to 0.56, the traffic benefit of IoV special lane can reach the best.

Cellular automata model for Urban Road traffic flow Considering Internet of Vehicles and emergency vehicles

2020 ◽  
Vol 47 ◽  
pp. 101221 ◽  
Author(s):  
Han-Tao Zhao ◽  
Xin Zhao ◽  
Lu Jian-cheng ◽  
Liu-yan Xin
Keyword(s):  
Cellular Automata ◽  
Traffic Flow ◽  
Road Traffic ◽  
Cellular Automata Model ◽  
Internet Of Vehicles ◽  
Urban Road ◽  
Emergency Vehicles

Cellular automata model for urban road traffic flow considering pedestrian crossing street

2016 ◽  
Vol 462 ◽  
pp. 1301-1313 ◽  
Author(s):  
Han-Tao Zhao ◽  
Shuo Yang ◽  
Xiao-Xu Chen
Keyword(s):  
Cellular Automata ◽  
Traffic Flow ◽  
Road Traffic ◽  
Cellular Automata Model ◽  
Urban Road ◽  
Pedestrian Crossing

An Improved Cellular Automata Model for Traffic Flow While Using the Internet of Vehicles

2021 ◽  
Author(s):  
Guosheng Ma ◽  
Xiaoxu Chen ◽  
Liuyan Xin ◽  
Linhui Zheng
Keyword(s):  
Cellular Automata ◽  
Traffic Flow ◽  
The Internet ◽  
Cellular Automata Model ◽  
Internet Of Vehicles

Cellular automata model for traffic flow at intersections in internet of vehicles

2018 ◽  
Vol 494 ◽  
pp. 40-51 ◽  
Author(s):  
Han-Tao Zhao ◽  
Xin-Ru Liu ◽  
Xiao-Xu Chen ◽  
Jian-Cheng Lu
Keyword(s):  
Cellular Automata ◽  
Traffic Flow ◽  
Cellular Automata Model ◽  
Internet Of Vehicles

scholarly journals STABILITY ANALYSIS OF CELLULAR AUTOMATA GENERATED CLUSTERS

2005 ◽  
Vol 12 (1) ◽  
pp. 83-90
Author(s):  
R. Šiugždaite
Keyword(s):  
Cellular Automata ◽  
Power Law ◽  
State Parameter ◽  
Urban System ◽  
Complex Behaviour ◽  
Cellular Automata Model ◽  
Self Organized ◽  
Tai Ji ◽  
Long Time ◽  
Ca Model

The development of regional urban system still remains one of the main problems during the human race history. There are a lot of problems inside this system like overcrowded cities and decaying countryside. All these situations can be reproduced by modelling them using Cellular Automata (CA) [1, 2, 5]. CA models implement algorithms with simple rules and parameter controls, but the result can be a complex behaviour. A stability of naturally formed self‐organized urban system depends on its critical state parameter τ in the power law log(f(x)) = ‐τlog(x). If the system reaches self‐organized critical (SOC) state then it remains in it for a long time. The CA model URBACAM (URBAnistic Cellular Automata Model) describes the long‐lasting term behaviour and shows that the change in behaviour is sensitive to the urban parameter τ of the power law. Regionines urbanistines sistemos vystymasis išlieka viena iš opiausiu problemu žmonijos istorijoje. Keletas tokiu uždaviniu kaip miestu perpildymas, nykstančios kaimo vietoves ir t.t. gali būti nesunkiai modeliuojami naudojant lasteliu automatus (LA). LA metodas ypatingas tuo, kad realizuoja algoritma paprastu taisykliu bei parametru valdymo pagalba, tačiau rezultate galima gauti sudetinga elgsena. Natūraliai susiformavusiu urbanistiniu sistemu stabilumas priklauso nuo sistemos krizines savirangos būsenos (KSB) parametro τ. Jei sistema pasiekia KSB, tai ji ilga laika išlieka joje. LA modelis URBACAM charakterizuoja ilgalaike elgsena ir parodo, jog modelyje jos kitimus itakoja eksponentinio desnio urbanistinis parametras τ.

scholarly journals Development, calibration and verification of mathematical model for multilane urban road traffic flow. Part I

2015 ◽  
Vol 7 (6) ◽  
pp. 1185-1203 ◽  
Author(s):  
Andrey Evgen'evich Alekseenko ◽  
Yaroslav Aleksandrovich Kholodov ◽  
Alexander Sergeevich Kholodov ◽  
Anna Igorevna Goreva ◽  
Mikhail Olegovich Vasilev ◽  
...  
Keyword(s):  
Mathematical Model ◽  
Traffic Flow ◽  
Road Traffic ◽  
Urban Road ◽  
Flow Part ◽  
Calibration And Verification

A Cellular Automata Model of Traffic Flow with Consideration of Distribution of Time to Collision

CICTP 2012 ◽  
2012 ◽  
Author(s):  
Haifei Yang ◽  
Jian Lu ◽  
Jun Jiang ◽  
Xiaomin Zhan
Keyword(s):  
Cellular Automata ◽  
Traffic Flow ◽  
Cellular Automata Model ◽  
Time To Collision

Heterogeneous traffic flow model under connected vehicles environment considering cyberattacks

2021 ◽  
Author(s):  
Lizhen Lin ◽  
Hongxia Ge ◽  
Rongjun Cheng
Keyword(s):  
Traffic Flow ◽  
Road Traffic ◽  
Heterogeneous Traffic ◽  
Connected Vehicles ◽  
Vehicle To Vehicle ◽  
Car Following Model ◽  
Time Extension ◽  
Potential Impact ◽  
The Stability ◽  
Traffic Behavior

Under the Vehicle-to-Vehicle (V2V) environment, connected vehicles (CVs) can share the traveling information with each other to keep the traffic flow stable. However, the open network cooperation environment makes CVs vulnerable to cyberattacks, which leads to changes in driving behavior. The existing theories divide cyberattacks into three types: bogus information, replay/delay and collusion cyberattacks. In addition, the mixed flow consisting of truck and car is a common form of road traffic. In order to clarify the potential impact of cyberattacks on mixed traffic flow, this paper proposes an extended car-following model considering cyberattacks under CVs environment. Subsequently, the stability of the model is analyzed theoretically, and the stability condition of the model is obtained. The numerical simulation is carried out and the result shows that the cyberattacks lead to different degrees of traffic behavior hazards such as queue time extension, congestion and even rear end collision. Among them, cooperative attack is the most serious.

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