Modeling traffic streams on a road network section | Zendy

Liliya Kushchenko | Zendy; Sergey Kushchenko | Zendy; А. Н. Новиков | Zendy; И. А. Новиков | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Modeling traffic streams on a road network section

Author(s) -

Liliya Kushchenko,

Sergey Kushchenko,

А. Н. Новиков,

И. А. Новиков

Publication year - 2020

Publication title -

iop conference series materials science and engineering

Language(s) - English

Resource type - Journals

eISSN - 1757-899X

pISSN - 1757-8981

DOI - 10.1088/1757-899x/971/3/032079

Subject(s) - computer science , queue , streams , traffic congestion reconstruction with kerner's three phase theory , floating car data , real time computing , section (typography) , traffic flow (computer networking) , fuzzy logic , controller (irrigation) , traffic generation model , data mining , transport engineering , computer network , artificial intelligence , traffic congestion , engineering , agronomy , biology , operating system

The paper considers the issues of modeling traffic flows. Statistical data on the number of vehicles accumulating in front of the stop line for red lights are collected and analyzed, thereby determining the length of the queue of the traffic stream. The degree of influence of the driver’s reaction time on determining the average speed of the traffic stream on the road network of the city of Belgorod is considered. A fuzzy inference model based on the main parameters of the traffic stream is developed. A rule base is formulated that enables one to determine the average speed of traffic stream depending on the parameters of the traffic stream. The established dependence can be used when programming the controller or hardware implementation of the corresponding fuzzy control algorithm in the form of a decision table.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research