Journal
CHINESE PHYSICS B
Volume 25, Issue 10, Pages -Publisher
IOP PUBLISHING LTD
DOI: 10.1088/1674-1056/25/10/108902
Keywords
traffic flow; look-ahead potential; cellular automata; negative exponential weighting
Categories
Funding
- National Natural Science Foundation of China [11572264, 11172247, 11402214, 61373009]
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With the development of traffic systems, some issues such as traffic jams become more and more serious. Efficient traffic flow theory is needed to guide the overall controlling, organizing and management of traffic systems. On the basis of the cellular automata model and the traffic flow model with look-ahead potential, a new cellular automata traffic flow model with negative exponential weighted look-ahead potential is presented in this paper. By introducing the negative exponential weighting coefficient into the look-ahead potential and endowing the potential of vehicles closer to the driver with a greater coefficient, the modeling process is more suitable for the driver's random decision-making process which is based on the traffic environment that the driver is facing. The fundamental diagrams for different weighting parameters are obtained by using numerical simulations which show that the negative exponential weighting coefficient has an obvious effect on high density traffic flux. The complex high density non-linear traffic behavior is also reproduced by numerical simulations.
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