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

Teo, Kenneth Tze Kin; Kow, Wei Yeang; Chin, Yit Kwong

doi:10.1109/cimsim.2010.95

Cited by 57 publications

(34 citation statements)

References 1 publication

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“…This method combines variable values from the two parents into new variable values in the first offspring, whereas the second offspring is merely the complement of the first offspring. The functions used to create new offspring are shown in (10) and (11).…”

Section: Crossovermentioning

confidence: 99%

“…The results show that some of the solutions found by GA were very subtle, which human operator would have difficulty to identify. Reference [11] has implemented GA to optimise traffic flow control system. In that paper, GA is taken the current traffic queue length as its input and then it will evolve out an optimised traffic light green time for the road intersection.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Genetic Algorithm Based Multivariable Control for Exothermic Batch Process

Tan

Chuo

Tham

et al. 2012

2012 Fourth International Conference on Computational Intelligence, Communication Systems and Networks

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Exothermic process is highly nonlinear and complex process. Large amount of heat will be released during the chemical reaction. As a result of the exothermic behaviour, the reaction may become unstable and consequently poses safety concern to the plant if the reactor temperature exceeds the cooling capacity. In the industrial point of view, heating is needed in order to speed up the reaction rate so that it can reduce the overall process reaction time. Hence, this paper proposes genetic algorithm (GA) to control the reaction temperature as well as to balance the production needs with the safety specification. GA exploits probabilistic search method to optimise the specific objective function based on evolutionary principle. Simulation assessment of the GA has been carried out using a benchmark exothermic batch process model. The results show that GA is a good candidate in controlling the reactor temperature.

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Section: Crossovermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Genetic Algorithm Based Multivariable Control for Exothermic Batch Process

Tan

Chuo

Tham

et al. 2012

2012 Fourth International Conference on Computational Intelligence, Communication Systems and Networks

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show abstract

“…The authors, K.T.K. Teo and all in [17] have proposed optimizing the cycle time and traffic light traffic phase at an intersection based on a genetic algorithm. Its principle is the following: To obtain an approximate solution to an optimization problem when there is no exact method to solve it within a reasonable time.…”

Section: Genetic Algorithmsmentioning

confidence: 99%

Smart Cities: Study and Comparison of Traffic Light Optimization in Modern Urban Areas Using Artificial Intelligence

Kabrane¹,

Krit²,

Elmaimouni³

2018

IJARCSSE

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Abstract-In large cities, the increasing number of vehicles private, society, merchandise, and public transport, has led to traffic congestion. Users spend much of their time in endless traffic congestion. To solve this problem, several solutions can be envisaged. The interest is focused on the system of road signs: The use of a road infrastructure is controlled by a traffic light controller, so it is a matter of knowing how to make the best use of the controls of this system (traffic lights) so as to make traffic more fluid. The values of the commands computed by the controller are determined by an algorithm which is ultimately, only solves a mathematical model representing the problem to be solved. The objective is to make a study and then the comparison on the optimization techniques based on artificial intelligence1 to intelligently route vehicle traffic. These techniques make it possible to minimize a certain function expressing the congestion of the road network. It can be a function, the length of the queue at intersections, the average waiting time, also the total number of vehicles waiting at the intersection

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“…Teo and Chin [5] has extended the concept of Genetic Algorithm for the optimization of the Traffic Flow Control. Longer green time will pass through more vehicles, but it will increase the cycle time at the same time which causes more vehicles to accumulate at the intersection during the waiting time.…”

Section: Current Traffic Scenariomentioning

confidence: 99%

Modeling and Verification of Agent based Adaptive Traffic Signal using Symbolic Model Verifier

Vishal¹,

Gugwad²,

Singh³

2012

IJCA

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This paper addresses the issue of modeling and verification of a Multi Agent System (MAS) scenario. We have considered an agent based adaptive traffic signal system. The system monitors the smooth flow of traffic at intersection of two road segment. After describing how the adaptive traffic signal system can efficiently be used and showing its advantages over traffic signals with predetermined periods, we have shown how we can transform this scenario into Finite State Machine (FSM). Once the system is transformed into a FSM, we have verified the specifications specified in Computational Tree Logic(CTL) using NuSMV as a model checking tool. Simulation results obtained from NuSMV showed us whether the system satisfied the specifications or not. It has also showed us the state where the system specification does not hold. Using which we traced back our system to find the source, leading to the specification violation. Finally, we again verified the modified system with NuSMV for its specifications.

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

Cited by 57 publications

References 1 publication

Genetic Algorithm Based Multivariable Control for Exothermic Batch Process

Genetic Algorithm Based Multivariable Control for Exothermic Batch Process

Smart Cities: Study and Comparison of Traffic Light Optimization in Modern Urban Areas Using Artificial Intelligence

Modeling and Verification of Agent based Adaptive Traffic Signal using Symbolic Model Verifier

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