Open AccessOn traffic flow model with weighted look-ahead potential
Author(s) -
Wei Xing Zheng,
Jiye Zhang,
Mingwen Wang,
Dongming Tang
Publication year - 2014
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.63.228901
Subject(s) - cellular automaton , weighting , traffic flow (computer networking) , microscopic traffic flow model , computer science , traffic model , flow (mathematics) , front (military) , process (computing) , basis (linear algebra) , statistical physics , simulation , traffic generation model , mathematical optimization , algorithm , mathematics , meteorology , mechanics , physics , real time computing , computer network , computer security , geometry , acoustics , operating system
Research on the stochastic behavior of traffic flow is important to understand the intrinsic evolution rule of traffic system. On the basis of cellular automata model and traffic flow model with look-ahead potential, in this paper, a novel traffic flow model with weighted look-ahead potential is presented. By introducing the weighting coefficient into the look-ahead potential and endowing the potential of vehicle closer to itself with a greater weight, the modeling process is more suitable for the driver's random decision-making process which is based on the vehicle and enviroment situation in front of him in actual traffic. Complex high-density traffic behavior is reproduced by numerical simulations. The simulation results show that the weighting coefficient has an obvious effect on high-density traffic flux, and the weighted model is more conducive to keeping high traffic flux and road capacity while maintaining a high traffic density.