Top

Neural Computing and Applications

Published in:

10-06-2015 | Theory and Applications of Soft Computing Methods

Green wave traffic control system optimization based on adaptive genetic-artificial fish swarm algorithm

Authors: Changxi Ma, Ruichun He

Published in: Neural Computing and Applications | Issue 7/2019

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

The urban green wave traffic control system is one of the effective means to solve the problems of urban traffic jams and reduce vehicle delay. Aiming at the problems of traditional green wave traffic control in optimization computation, this paper introduces the adaptive mechanism and crossover, mutation operators to artificial fish swarm algorithm (AFSA) in order to adjust the evolution group. Through setting bulletin board measure and retention strategy, the individual status of the optimal artificial fish is recorded. In that way, the adaptive genetic AFSA is established. Finally, the paper applies this algorithm to green wave traffic control in five continuous intersections on Jianning Road, Lanzhou, China, gains one traffic control program better than traditional method through calculation, and verifies the feasibility and effectiveness of adaptive genetic-AFSA to optimize green wave traffic control system.

previous article A new NN-PSO hybrid model for forecasting Euro/Dollar exchange rate volatility

next article Development of prediction models for shear strength of SFRCB using a machine learning approach

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Morgan JT, Little JDC (1964) Synchronizing traffic signals for maximal bandwidth. Oper Res 12(6):896–912CrossRef

Little JDC (1996) The synchronization of traffic signals by mixed-integer linear programming. Oper Res 14(4):568–594MathSciNetMATHCrossRef

Messer CJ, Whitson RH, Dudek CL et al (1973) A variable-sequence multiphase progression optimization program. Transp Res Rec 445(1):24–33

Gartner NH, Assmann SF, Lasaga F et al (1990) MULTIBAND: a variable bandwidth arterial progression scheme. Transp Res Rec 1287(1):212–222

Gartner NH, Assmann SF, Lasaga F et al (1991) A multi-band approach to arterial traffic signal optimization. Transp Res Part B 25(1):55–74CrossRef

Stamatiadis C, Gartner NH (1996) MULTIBAND-96: a program for variable bandwidth progression optimization of multi-arterial traffic networks. Transp Res Rec 1554(1):9–17CrossRef

Gartner NH, Stamatiadis C (2002) Arterial-based control of traffic flow in urban grid netwoks. Math Comput Model 35(5):657–671MATHCrossRef

Chang Y-T, Peng G-X (2003) Urban arterial road coordination control based on genetic algorithm. J Traffic Transp Eng 3(2):106–112

Gartner NH, Stamatiadis C (2004) Progression optimization featuring arterial-and route-based priority signal networks. Intell Transp Syst 8(2):77–81MATHCrossRef

10.

Sun J, Liu H-D, Li K-P (2009) Simulation optimization for urban arterial coordinate control. J Tongji Univ (Natural Science) 37(11):1468–1471

11.

Lu K, Xu J-M, Chen S-Y et al (2011) A general model of bidirectional green wave for coordinate control of arterial road and its optimization solution. Control Theory Appl 28(4):551–555

12.

Hu P-F, Tian Z-Z, Yuan Z-Z et al (2011) Variable-bandwidth progression optimization in traffic operation. J Transp Syst Eng Inf Technol 11(1):61–71

13.

Kong X-G, Shen G-J, Xia F et al (2011) Urban arterial traffic two-direction green wave intelligent coordination control technique and its application. Int J Control Autom Syst 9(1):60–68CrossRef

14.

Liu X-M, Tang S-H (2012) Green wave coordinated control method based on continuously passing vehicles. J Transp Syst Eng Inf Technol 12(6):35–40

15.

Yang X-S, Cui Z-H (2014) Bio-inspired computation: success and challenges of IJBIC’. Int J Bio-Inspired Comput 6(1):1–6CrossRef

16.

Cui Z-H, Xiao R-B (2014) Bio-inspired Computation: theory and Applications. J Multi-Valued Log Soft Comput 22(3):217–221MathSciNet

17.

Jabbarpour MR, Malakooti H, Noor RM, Anuar NB, Khamis N (2014) Ant colony optimisation for vehicle traffic systems: applications and challenges. Int J Bio-Inspired Comput 6(1):32–56CrossRef

18.

Lu X, Tang K, Sendhoff B, Yao X (2014) A review of concurrent optimisation methods. Int J Bio-Inspired Comput 6(1):22–31CrossRef

19.

Deb K (2000) An efficient constraint handling method for genetic algorithm. Comput Methods Appl Mech Eng 186(2):311–338MATHCrossRef

20.

Sarimveis H, Nikolakopoulos A (2005) A line up evolutionary algorithm for solving nonlinear constrained optimization problems. Comput Oper 32(2):1449–1514MathSciNetMATH

21.

Kusakci AO, Can M (2014) An adaptive evolution strategy for constrained optimisation problems in engineering design. Int J Bio-Inspired Comput 6(3):175–191CrossRef

22.

Cui Z-H, Yang H-J, Shi Z-Z (2012) Using artificial plant optimization algorithm to solve coverage problem in WSN. Sens Lett 10(8):1666–1675CrossRef

23.

Jian J-B, Tang C-M, Hu Q-J et al (2005) A feasible descent SQP algorithm for general constrained optimization without strict complementary. J Comput Appl Math 180(1):391–412MathSciNetMATHCrossRef

24.

Dong Y, Tang J-F, Xu B-D et al (2005) An application of swarm optimization to nonlinear programming. Comput Math Appl 49(3):1655–1668MathSciNetMATHCrossRef

Title: Green wave traffic control system optimization based on adaptive genetic-artificial fish swarm algorithm
Authors: Changxi Ma
Ruichun He
Publication date: 10-06-2015
Publisher: Springer London
Published in: Neural Computing and Applications / Issue 7/2019
Print ISSN: 0941-0643
Electronic ISSN: 1433-3058
DOI: https://doi.org/10.1007/s00521-015-1931-y

Springer Professional

Abstract

Please log in to get access to your license.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft"

Springer Professional "Technik"

Springer Professional "Wirtschaft+Technik"

Other articles of this Issue 7/2019

New predictive method for estimation of natural gas hydrate formation temperature using genetic programming

A hybrid conceptual cost estimating model using ANN and GA for power plant projects

Simple speed estimators reproduce MT responses and identify strength of visual illusion

Group decision making with interval fuzzy preference relations based on DEA and stochastic simulation

Locator slope calculation via deep representations based on monocular vision

Attribute weight computation in a decision making problem by particle swarm optimization

Premium Partner