Research on vehicle carrying efficiency of three-lane expressway based on DEA method

During the driving process in expressway, the vehicle carrying efficiency is influenced by many factors. However, in the existing researches on microscopic traffic flow, there is a lack of evaluation index system and corresponding calculation, so it is necessary to choose appropriate indicators and evaluation methods to calculate the vehicle carrying efficiency comprehensively. Therefore, in this paper, we establish a cellular automata model of the three-lane expressway and select multiple parameters that influence the vehicle carrying efficiency, which includes three input indicators: vehicle travel time, vehicle fuel consumption, vehicle emission, and two output indicators: vehicle average speed and vehicle ridership. Meanwhile, the data envelopment analysis is used to calculate the vehicle carrying efficiency under different maximum speed limits. From the simulation results, the traffic condition of vehicles is analyzed and corresponding improvement strategies are proposed, which have certain research significance for the traffic management department to formulate reasonable management measures.

Automated summary

In this paper, a cellular automata model of a three-lane expressway is established, and multiple parameters influencing vehicle carrying efficiency are selected. Data envelopment analysis is used to calculate the vehicle carrying efficiency under different maximum speed limits, providing research significance for traffic management departments to formulate reasonable management measures.