Optimization of Traffic Flow within an Urban Traffic Light Intersection with Genetic Algorithm

2010 ◽  
Author(s):  
K.T.K. Teo ◽  
W.Y. Kow ◽  
Y.K. Chin
Keyword(s):  
Genetic Algorithm ◽  
Traffic Flow ◽  
Urban Traffic ◽  
Traffic Light

Optimizing urban traffic flow using Genetic Algorithm with Petri net analysis as fitness function

2014 ◽  
Vol 124 ◽  
pp. 162-167 ◽  
Author(s):  
Henrique Dezani ◽  
Regiane D.S. Bassi ◽  
Norian Marranghello ◽  
Luís Gomes ◽  
Furio Damiani ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Traffic Flow ◽  
Petri Net ◽  
Fitness Function ◽  
Urban Traffic

OPTIMIZATION OF TRAFFIC LIGHTS AT CROSSROADS

2003 ◽  
Vol 14 (05) ◽  
pp. 539-548 ◽  
Author(s):  
DING-WEI HUANG ◽  
WEI-NENG HUANG
Keyword(s):  
Traffic Flow ◽  
Probabilistic Models ◽  
Urban Traffic ◽  
Speed Limit ◽  
Stochastic Noise ◽  
Traffic Light ◽  
Fundamental Diagram ◽  
Traffic Lights ◽  
Signal Period ◽  
Two Parameters

We study the influence of traffic lights on the traffic flow in cities. The urban traffic is simulated in the cellular automata framework. Both the deterministic and probabilistic models are discussed. The effects of speed limit and stochastic noise are analyzed. The operation of a traffic light is characterized by two parameters: signal period and phase allocation. With two traffic lights on road, one more parameter is prescribed: synchronization shift. The results of tuning these parameters are presented in the fundamental diagram. We examine the traffic flow and discuss the choice of optimized setting in different density regions.

HETEROGENEOUS TRAFFIC FLOW MODEL FOR A TWO-LANE ROUNDABOUT AND CONTROLLED INTERSECTION

2007 ◽  
Vol 18 (01) ◽  
pp. 107-117 ◽  
Author(s):  
Y. FENG ◽  
Y. LIU ◽  
P. DEO ◽  
H. J. RUSKIN
Keyword(s):  
Traffic Flow ◽  
Queue Length ◽  
Traffic Management ◽  
Waiting Times ◽  
Arrival Rate ◽  
Urban Traffic ◽  
Heterogeneous Traffic ◽  
Traffic Density ◽  
Traffic Light ◽  
Heterogeneous Distribution

Modern urban traffic management depends heavily on the efficiency of road features, such as controlled intersections and multi-lane roundabouts. Vehicle throughput at any such configuration is modified by traffic mix, by rules governing manoeuvrability and by driver observance, as well as by traffic density. Here, we study heterogeneous traffic flow on two-lane roads through a cellular automata model for a binary mix of long and short vehicles. Throughput is investigated for a range of arrival rates and for fixed turning rate at an intersection: manoeuvres, while described in terms of left-lane driving, are completely generalisable. For a given heterogeneous distribution of vehicle type, there is a significant impact on queue length, delay times experienced and throughput at a fixed-cycle traffic light controlled two-way intersection and two-lane roundabout, when compared to the homogeneous case. As the proportion of long vehicles increases, average throughput for both configurations declines for increasing arrival rate, with average queue length and waiting time correspondingly increased. The effect is less-marked for the two-lane roundabout, due to absence of cross-traffic delays. Nevertheless, average waiting times and queue lengths remain uniformly high for arrival rates >0.25 vehicle per second (900 vph) on entry roads and for long vehicle proportion above 0.30–0.35.

Optimal management adaptive of two crossroads by genetic algorithm

2019 ◽  
Vol 10 (03) ◽  
pp. 1950009 ◽  
Author(s):  
Amal Merbah ◽  
Abdelilah Makrizi
Keyword(s):  
Genetic Algorithm ◽  
Control System ◽  
Traffic Flow ◽  
Waiting Time ◽  
Programming Model ◽  
Optimal Management ◽  
Adaptive Control System ◽  
Traffic Light ◽  
Switching Pattern ◽  
Nonlinear Programming Model

This paper addresses the issue of managing the traffic flow at traffic-light controlled junctions adopting a mixed, nonlinear programming model. More precisely, we adopt an adaptive, acyclic control system based on the genetic algorithm (GA), a system that allows to accurately decide in real time on the light switching pattern that minimizes the traffic waiting time. Equally importantly, the inherent crossroads constraints, namely, the security of their users and the structure thereof, also referred to as the antagonism principle, are considered in the proceeding of this method. The implementation of this model on two crossroads significantly decreases the waiting time and regulates the traffic flow. Therefore, the adaptive control system based on the GA proves efficient compared to the nonadaptive system.

scholarly journals Formation of the Traffic Flow Rate under the Influence of Traffic Flow Concentration in Time at Controlled Intersections in Tyumen, Russian Federation

2021 ◽  
Vol 13 (15) ◽  
pp. 8324
Author(s):  
Viacheslav Morozov ◽  
Sergei Iarkov
Keyword(s):  
Traffic Flow ◽  
Flow Rate ◽  
Traffic Congestion ◽  
Traffic Management ◽  
System Analysis ◽  
Motor Vehicle ◽  
Experimental Studies ◽  
Transport Systems ◽  
Experiment Planning ◽  
Traffic Light

Present experience shows that it is impossible to solve the problem of traffic congestion without intelligent transport systems. Traffic management in many cities uses the data of detectors installed at controlled intersections. Further, to assess the traffic situation, the data on the traffic flow rate and its concentration are compared. Latest scientific studies propose a transition from spatial to temporal concentration. Therefore, the purpose of this work is to establish the regularities of the influence of traffic flow concentration in time on traffic flow rate at controlled city intersections. The methodological basis of this study was a systemic approach. Theoretical and experimental studies were based on the existing provisions of system analysis, traffic flow theory, experiment planning, impulses, probabilities, and mathematical statistics. Experimental data were obtained and processed using modern equipment and software: Traficam video detectors, SPECTR traffic light controller, Traficam Data Tool, SPECTR 2.0, AutoCad 2017, and STATISTICA 10. In the course of this study, the authors analyzed the dynamics of changes in the level of motorization, the structure of the motor vehicle fleet, and the dynamics of changes in the number of controlled intersections. As a result of theoretical studies, a hypothesis was put forward that the investigated process is described by a two-factor quadratic multiplicative model. Experimental studies determined the parameters of the developed model depending on the directions of traffic flow, and confirmed its adequacy according to Fisher’s criterion with a probability of at least 0.9. The results obtained can be used to control traffic flows at controlled city intersections.

Effect of pedestrian traffic light on traffic flow accompany with pedestrian crossing

2021 ◽  
pp. 126059
Author(s):  
Yanhong Wang ◽  
Chong Zhang ◽  
Pengbin Ji ◽  
Tianning Si ◽  
Zhenzhen Zhang
Keyword(s):  
Traffic Flow ◽  
Traffic Light ◽  
Pedestrian Traffic ◽  
Pedestrian Crossing
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