Earticle

초록

영어

For urban traffic congestion problem, a communication P systems using parallel computing principles congested road-use pricing model, considering congestion charges in the case, the establishment of travelers travel decision algorithm, travelers dynamic evolution in traffic P system, External charging parameters can be adjusted to influence traveler decisions, thereby affecting the whole system evolution. The congestion pricing model based on P system (CPS_ DTAM) of the simulation experiment shows that the algorithm is feasible. This model and particle swarm optimization congestion pricing model (PSO_ DTAM) were compared based on the same parameters; the results show that this pricing model taking into accounts the dynamic decision travelers more in line with the real situation.

목차

Abstract
 1. Introduction
 2. Communications P System Optimization Algorithms
  2.1 Traveler Decision-making Selection Algorithm
  2.2 Communication P Systems
 3. Communication P System Traffic Selection Algorithms (CPS)
 4. Simulation Experiment
 5. Conclusions
 Acknowledgements
 References

키워드

저자

• Yanhua Zhong [ Jiangmen Polytechnic, Jiangmen, Guangdong 529020, China ]
• Wei Wei [ Xi’an University of technology, Xi’an 710048, China. ]
• Zhiyong Liu [ Jiangmen Polytechnic, Jiangmen, Guangdong 529020, China ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of u- and e- Service, Science and Technology

• 간기

  격월간

• pISSN

  2005-4246

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605