Traffic Flow Model Based on Power Flow

Abstract

The article is research on the traffic rules of freeways. We analyze factors like traffic flow and safety performance respectively, and propose the theory basis for making more reasonable rules of the road. We first establish an evaluation system of traffic flow, which can be designed based on the average speed, the traffic density, the following ratio and the overtaking ratio. And we separately calculate the average speed and traffic density in heavy traffic and the opposite. Meanwhile, we obtain a relation of traffic flow and overtaking ratio or following ratio via fitting. We next construct an assessment system, based on IHSDM, and reach the conclusion that the more different the speed of vehicles is, the higher the relevant accident rate will be. As the accident rate reflects the safety performance directly, combining the conclusion with the overtaking model, we can probe into safety performance of freeways under different traffic rules. Afterwards, we compare the freeway network to power network to find a solution, and establish a traffic flow model based on power flow (TFPF). It calculates power flow. We utilize cellular automata (CA) method to simulate traffic circulation, and verify the accuracy of the above model with the obtained data. The verification shows the model is feasible in certain degree. Finally, the intelligent control of urban traffic flow applies to both light and heavy traffic. And it cannot only reduce the required time controlled by human factor, but also guide and schedule reasonably through the network monitoring, so as to ease traffic congestion and traffic accidents, and improve the efficiency of transportation.

Original document

The different versions of the original document can be found in:

• http://dx.doi.org/10.2991/icecee-15.2015.280

• https://doi.org/10.2991/icecee-15.2015.280 under the license cc-by-nc

• https://www.atlantis-press.com/proceedings/icecee-15/24765,

https://academic.microsoft.com/#/detail/1782785215