Multi-vehicle-model hybrid traffic car-following behavior simulation method considering subjective factors

Abstract

The invention discloses a multi-vehicle-model hybrid traffic following behavior simulation method considering subjective factors, and the method comprises the steps: correcting the theoretical safe driving following distance between a leading vehicle and a following vehicle based on the vehicle model difference, and obtaining the safe driving following distance considering the vehicle model factors; correcting the safe driving following distance considering the vehicle model factors based on the style of the following vehicle driver to obtain a psychological safe driving following distance; based on the relative distance between the following vehicle and the pilot vehicle, the psychological safety following distance and the relation between the speed of the following vehicle and the expected speed of the driver, obtaining the speed of the following vehicle in the next step, wherein the style is the sensitivity coefficient and the risk coefficient of the driver. According to the method,the relative distance between the leading vehicle and the following vehicle and the psychological safety following distance are used for judgment, the longitudinal speed of the following vehicle at the next moment is calculated, and accurate depiction of the following behavior under the multi-vehicle-type mixed traffic condition is achieved. The model can describe following behaviors of differentvehicle types and different driver styles, and provides reference for management of multi-vehicle-type hybrid traffic.

Description

technical field [0001] The invention relates to the technical field of intelligent traffic information, in particular to a car-following behavior simulation method for multi-vehicle mixed traffic considering subjective factors. Background technique [0002] Due to the characteristics of large volume and poor performance, freight vehicles can easily lead to a significant decrease in traffic efficiency when mixed with other fast vehicles. With the rapid development of the domestic economy in recent years, the number of freight vehicles has increased continuously, and the phenomenon that low-speed freight vehicles affect the efficiency of expressway traffic has become increasingly serious. Considering the influence of vehicle types on the driving behavior of drivers with different styles, recreating the car-following behavior of multi-vehicle mixed traffic will help the traffic management department to carry out reasonable traffic control and improve the efficiency of multi-veh...

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Problems solved by technology

However, this method does not consider the influence of the leading vehicle model on the rear driver, and it is not effective in describing the car-following behavior under multi-vehicle mixed traffic conditions.

In the rest of the literature research, the influence of the leading car model on the car-following behavior of the rear driver is not considered, but only the change of car-following behavior caused by the driver's style is considered, which is less effective in describing the car-following behavior under multi-vehicle mixed traffic conditions. Difference

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