Differential Evolution Algorithm Based Solution Approaches for Solving Transportation Network Design Problems

Başkan, Özgür; Ceylan, Hüseyin

doi:10.5505/pajes.2014.08379

Cited by 6 publications

(3 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition to this, the degree of saturation for each lane was constrained with a maximum of 1.2. Differential Evolution (DE) algorithm which is a powerful and simple meta-heuristic optimization algorithm is preferred to solve the signal timing optimization problem [45][46][47][48][49]. A signal timing optimization program was developed in MATLAB for this purpose.…”

Section: Discussionmentioning

confidence: 99%

Design of an Efficient Vehicle-Actuated Signal Control Logic for Signalized Intersections

2021

View full text Add to dashboard Cite

The effectiveness of fixed-time management systems dramatically decreases in case of fluctuated traffic demands at signalized intersection approaches. This leads to the waste of time in traffic and may cause material, psychological and ecological problems. Especially in recent years, to minimize the negative impacts of these problems, many researchers focus on Intelligent Transportation Systems (ITS). As it is known, one of the Intelligent Transportation Systems applications is called vehicle-actuated (traffic-actuated) management systems.Because the success of these types of applications is directly related to the created control logic, the selection of the most proper control parameters for the created control logic is an important issue. This study aims to create an effective control logic and flow chart for the vehicle-actuated management system. At the end of the analyses, it is seen that the created vehicle-actuated management system can adapt to fluctuations in traffic demands at signalized intersection approaches. Average vehicle delays, fuel consumptions and exhaust emissions can be reduced significantly by the created system. Especially, in case of fluctuations in traffic demands at 2 intersection approaches exist, it is concluded that the performance of the intersection can increase enormously with the created vehicle-actuated management system.

show abstract

Section: Discussionmentioning

confidence: 99%

Design of an Efficient Vehicle-Actuated Signal Control Logic for Signalized Intersections

2021

View full text Add to dashboard Cite

show abstract

“…In these scripts, MSE for observed and model data was minimized using the Differential Evolution Algorithm. Control parameters of the algorithm were selected considering the previous studies in the literature and were presented in Table 2 [22,36,37]. In the second step, each script was run ten times.…”

Section: Explicated Mathematical Modelmentioning

confidence: 99%

Analyzing of Total Number of Railway Accidents in Türkiye via Different Computational Models

ÇAKICI,

MORTAZAVİ,

ALTINTAŞI

2023

Erzincan Üniversitesi Fen Bilimleri Enstitüsü Dergisi

View full text Add to dashboard Cite

Accurate prediction of transport-related accidents is considered an important step in assessing the magnitude of the transport-related problems and accelerating decision-making to mitigate them. Therefore, such studies are of great importance for decision makers. In this study, it is aimed to accurately determine (estimate) the annual total number of railway accidents in Türkiye, considering the track length, train-km and Gross National Product (GNP) variables obtained from Türkiye Statistical Institute. In this context, firstly, four different computational models, three of which are optimization-based (one linear, the others nonlinear) and one based on Artificial Neural Network (ANN), are created. Subsequently, the goal was to minimize the Mean Square Error (MSE) between the observed and modeled data for each computational model developed. In the optimization-based models, the selection of the most suitable internal weighting coefficients was accomplished by utilizing the Differential Evolution Algorithm. Finally, within the scope of the study, all statistical results (mean square error, coefficient of determination) obtained for four different calculation models are compared with each other. Consequently, the analysis of the total number of railway accidents in Türkiye reveals that the quadratic model yields more realistic results compared to the other models.

show abstract

“…Genetic Algorithm (GA), Harmony Search Algorithm (HS), Particle Swarm Optimization Algorithm (PSO), Ant Colony Optimization Algorithm (ACO), Arti cial Bee Colony Algorithm (ABC), and Di erential Evolution (DE) are some of the most used metaheuristic optimization methods for the solution of the problems. Previous studies in the literature showed that more e ective solutions can be achieved by using the Di erential Evolution algorithm rather than the other metaheuristic optimization algorithms [33][34][35][36][37]. us, it is preferred in this study.…”

Section: Performance Criteriamentioning

confidence: 99%

A Differential Evolution Algorithm‐Based Traffic Control Model for Signalized Intersections

Çakıcı

Murat

2019

Advances in Civil Engineering

View full text Add to dashboard Cite

Sustainable management of traffic flows at signalized intersections is an important issue in terms of traffic engineering. The minimization of lost time, emission, fuel consumption, etc., can be achieved by optimization-based intersection management. In this study, a new traffic signal control model is developed for the management of three-leg signalized intersections. In the proposed model, signal timing and signal phasing are optimized simultaneously using Differential Evolution (DE) algorithm which is one of the population-based metaheuristic algorithms. The effectiveness of the model is tested on sample traffic scenarios with VISSIM simulation software considering average vehicle delay performance criteria. Results show that the proposed approach may reduce the average vehicle delay between the rates of 28%–42% and 3%–38% comparing to the optimum fixed-time signal control and vehicle-actuated signal control for tested scenarios, respectively.

show abstract

Differential Evolution Algorithm Based Solution Approaches for Solving Transportation Network Design Problems

Cited by 6 publications

References 18 publications

Design of an Efficient Vehicle-Actuated Signal Control Logic for Signalized Intersections

Design of an Efficient Vehicle-Actuated Signal Control Logic for Signalized Intersections

Analyzing of Total Number of Railway Accidents in Türkiye via Different Computational Models

A Differential Evolution Algorithm‐Based Traffic Control Model for Signalized Intersections

Contact Info

Product

Resources

About