Research on Application of Intelligence Schedule of City Pubic Traffic Vehicles Based on Genetic Algorithm

Rui Chen; Liang Fang

doi:10.4028/www.scientific.net/AMR.706-708.1902

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 706-708Research on Application of Intelligence Schedule...

Research on Application of Intelligence Schedule of City Pubic Traffic Vehicles Based on Genetic Algorithm

Abstract:

Giving attention to the benefits of the passengers and agency, this paper adopts the true value of the coding method using the start time as the variable and uses the penalty function method to add a variety of constraints to the objective function when constructing the fitness function,which simplifies the calculation. Finally, the simulation results are obtained by using the improved Genetic Algorithm for solving the non-uniform grid schedule. Results show that the improved Genetic Algorithm can find the approximate best result in the huge search space of optimization, and greatly increased the computational efficiency.

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Periodical:

Advanced Materials Research (Volumes 706-708)

Pages:

1902-1906

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.706-708.1902

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Online since:

June 2013

Authors:

Rui Chen, Liang Fang

Keywords:

Fitness Function, Genetic Algorithm (GA), Intelligent Schedule, Penalty Function, Start Schedule

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References

[1] Cui Liu: The public transportation passenger flow scheduling optimization system design based on the statistical information. Haerbin industrial university master degree thesis, 2005.

Google Scholar

[2] YunMei Qin and LingLing Wang: Bus departure time interval model based on genetic algorithm. Transportation standardization, 2009, (2) : 190-192.

Google Scholar

[3] Gang Tong: Study on the application of genetic algorithm in bus dispatching. Computer engineering, 2005, 31 (13) : 29-31.

Google Scholar

[4] Ming Zhou and ShuDong Sun: Genetic algorithm principle and application. National defense industry press, 1999.

Google Scholar

[5] QiuSheng Li, Ce zhang and ZhengHua Liu: Intelligent PID control based on neural network and genetic algorithm. Computer measurement and control, 2007, 15 (5) : 610-612.

Google Scholar