Modeling of traffic at a road crossing and optimization of waiting time of the vehicles

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F24%3A10255338" target="_blank" >RIV/61989100:27240/24:10255338 - isvavai.cz</a>

Alternative codes found

RIV/61989100:27730/24:10255338

Result on the web

<a href="https://www.sciencedirect.com/science/article/pii/S1110016824004344?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1110016824004344?via%3Dihub</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.aej.2024.04.050" target="_blank" >10.1016/j.aej.2024.04.050</a>

Result language

angličtina

Original language name

Modeling of traffic at a road crossing and optimization of waiting time of the vehicles

Original language description

Traffic management is a critical activity, the population is increasing day by day and so the traffic on the road is also increasing. Traffic jams and long waiting queues of vehicles at the road crossing are now part of everyone&apos;s life. The traffic lights used at the crossing to regulate the traffic play a vital role in the smooth functioning of traffic movement. At a crossing of four roads, it has been observed that giving an equal amount of green light to all roads is meaningless since the arrival of traffic on different paths is different. Importantly, the arrival rate is responsible for all traffic jams, long queues, and increased waiting time. Therefore, this paper suggests a green light allocation scheme for all paths i depending on the arrival rate of the vehicles. Thus, the allocation of green light will be dynamic. Further, weight is also computed, where more arrival rate means more weight, thereby assigning more time to the green signal. This will help in reducing the long queue length, residual traffic, and long waiting times. On simulating the traffic with the traffic data, the proposed optimized green light allocation scheme to path i reduces the residue traffic to negligible, allowing smooth traffic flow even during peak hours. The work also provides a proficient optimization of the waiting time of vehicles accumulated during the red light. According to the simulation, the maximum time assigned for the green signal during the peak hour of 9:30 AM to 10:00 AM for paths i, where 1LESS-THAN OR EQUAL TOiLESS-THAN OR EQUAL TO4 is 39.96, 33.36, 26.64, and 20.04 seconds respectively. Similarly, during the second rush hour of 5:00 PM to 6:00 PM, the simulation assigns a green signal time of 41.4, 37.2, 24.84, and 16.56 seconds for corresponding paths 1-4. Thus, the proposed work suggests an effective traffic management scheme at the four-road crossing. (C) 2024 The Authors

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

20200 - Electrical engineering, Electronic engineering, Information engineering

Project

<a href="/en/project/TN02000025" target="_blank" >TN02000025: National Centre for Energy II</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Alexandria Engineering Journal

ISSN

1110-0168

e-ISSN

—

Volume of the periodical

98

Issue of the periodical within the volume

Volume 98

Country of publishing house

US - UNITED STATES

Number of pages

16

Pages from-to

114-129

UT code for WoS article

001287261100001

EID of the result in the Scopus database

2-s2.0-85191943781