Car following modeling method considering optimal speed memory and rear-view effect

Abstract

A car following modeling method considering optimal speed memory and a rear-view effect includes the following steps: a. building a car microscopic following traffic flow model through a mathematical expression; b. simplifying the car following model; c. selecting an optimal speed function; d. according to the following model, obtaining linear stable conditions of the model, and drawing a boundary between a stable region and an unstable region of the model; e. setting a traffic scene that needs to be simulated by changing a pace car motion state; f. obtaining the initial states of all vehicles; and g. performing analogue simulation of the motion state of a following motorcade when t is larger than 0, assuming that a specific pace car changes the motion state according to a preset situation, the following motorcade running according to the following model considering optimal speed memory and the rear-view effect, investigating the motion states of all the vehicles when t is larger than 0, and obtaining a speed distribution map of the cars of the model in a selected traffic scene after updates are carried out according to a rule. The car following modeling method considering the optimal speed memory and rear-view effect can improve stability of traffic flow, and relieve traffic congestion.

Description

technical field [0001] The invention belongs to the field of road traffic congestion improvement, and relates to a vehicle following behavior modeling method, in particular to a vehicle following modeling method considering optimal speed memory and rearsight effect. Background technique [0002] In recent years, the number of cars has increased sharply, and the corresponding infrastructure construction has been difficult to keep up with the growth rate of cars. The resulting traffic congestion has become increasingly serious, seriously affecting people's daily work, life and social development. [0003] Traffic congestion can be understood as traffic instability from the perspective of traffic flow theory. Therefore, alleviating and suppressing traffic congestion is to improve the stability of traffic flow in a sense. Bando M et al published the article "Dynamical model of traffic congestion and numerical simulation" ("Dynamic model of traffic congestion and numerical simula...

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Problems solved by technology

[0004] However, the above models are all limited to considering the influence of the current information of the front and rear vehicles on the vehicle, and lack of research on the influence of historical information on the stability of traffic flow.

The driver's memory factor also has an important impact on the stability of traffic flow. However, the traffic flow characteristics based on the comprehensive information of the front and rear vehicles and the driver's memory effect have not been reflected in the above model.

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