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A new cellular automaton model for urban two-way road networks.

Shi J, Cheng L, Long J, Liu Y - Comput Intell Neurosci (2014)

Bottom Line: Simulation results show that the network fundamental diagram is very similar to that of road traffic flow.We found that the randomization probability and the maximum vehicle speed have significant impact on network traffic mobility for free-flow state.Their effect may be weak when the network is congested.

View Article: PubMed Central - PubMed

Affiliation: College of Engineering, Zhejiang Normal University, Jinhua 321004, China ; School of Transportation, Southeast University, Nanjing 210096, China.

ABSTRACT
A new cellular automaton (CA) model is proposed to simulate traffic dynamics in urban two-way road network systems. The NaSch rule is adopted to represent vehicle movements on road sections. Two novel rules are proposed to move the vehicles in intersection areas, and an additional rule is developed to avoid the "gridlock" phenomenon. Simulation results show that the network fundamental diagram is very similar to that of road traffic flow. We found that the randomization probability and the maximum vehicle speed have significant impact on network traffic mobility for free-flow state. Their effect may be weak when the network is congested.

Show MeSH
The influence of the maximum speed on network speed.
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Related In: Results  -  Collection


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fig7: The influence of the maximum speed on network speed.

Mentions: The influence of the maximum speed vmax⁡ on network traffic flow is graphically displayed in Figure 7. One can observe that the network speed is greatly influenced by the maximum vehicle speed when the network density is lower than a critical density. However, the influence will be weak when the network density exceeds the critical density. If the network density is lower than the critical density, a higher maximum vehicle speed can bring a higher network speed. This is because vehicles can move freely when the network density is low, and the vehicles are more likely to drive in a high speed. When the network density is larger than the critical density, vehicles cannot speed up due to traffic congestion, and the influence of the maximum vehicle speed disappears.


A new cellular automaton model for urban two-way road networks.

Shi J, Cheng L, Long J, Liu Y - Comput Intell Neurosci (2014)

The influence of the maximum speed on network speed.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4236970&req=5

fig7: The influence of the maximum speed on network speed.
Mentions: The influence of the maximum speed vmax⁡ on network traffic flow is graphically displayed in Figure 7. One can observe that the network speed is greatly influenced by the maximum vehicle speed when the network density is lower than a critical density. However, the influence will be weak when the network density exceeds the critical density. If the network density is lower than the critical density, a higher maximum vehicle speed can bring a higher network speed. This is because vehicles can move freely when the network density is low, and the vehicles are more likely to drive in a high speed. When the network density is larger than the critical density, vehicles cannot speed up due to traffic congestion, and the influence of the maximum vehicle speed disappears.

Bottom Line: Simulation results show that the network fundamental diagram is very similar to that of road traffic flow.We found that the randomization probability and the maximum vehicle speed have significant impact on network traffic mobility for free-flow state.Their effect may be weak when the network is congested.

View Article: PubMed Central - PubMed

Affiliation: College of Engineering, Zhejiang Normal University, Jinhua 321004, China ; School of Transportation, Southeast University, Nanjing 210096, China.

ABSTRACT
A new cellular automaton (CA) model is proposed to simulate traffic dynamics in urban two-way road network systems. The NaSch rule is adopted to represent vehicle movements on road sections. Two novel rules are proposed to move the vehicles in intersection areas, and an additional rule is developed to avoid the "gridlock" phenomenon. Simulation results show that the network fundamental diagram is very similar to that of road traffic flow. We found that the randomization probability and the maximum vehicle speed have significant impact on network traffic mobility for free-flow state. Their effect may be weak when the network is congested.

Show MeSH