Segmented car-following micro-traffic flow modeling method in view of interrupt drive

Abstract

The invention provides a segmented car-following micro-traffic flow modeling method in view of interrupt drive to solve the technical problem that the conventional car-following model is not in accordance with the practical traffic conditions and cannot be controlled at intersectional signal lamps. According to the method, in a traffic flow speed model, the influence quantity of vehicles ahead is considered to be the random change according to the three practical traffic conditions of normal queuing, stopping of the running vehicles by the traffic signal lamps and queue jumping of other vehicles due to excessively large car-following distance, the change rate of the optimization speed of the vehicles ahead with respect to the vehicle distance and the lag time and the weighting factors of the actions of the vehicles ahead are introduced at the same time, and the parameters such as the quantity of the vehicles ahead and the lag time and the weighting factors of the actions of the vehicles ahead can be adjusted and considered according to the practical traffic conditions, so that the established new micro-traffic flow model is closer to the practical traffic conditions, thereby solving the technical problems of traffic flow modeling in design of new roads, operation management of existing roads and control of the intersectional signal lamps.

Description

technical field [0001] The invention relates to a traffic flow model modeling method, in particular to a section-following microscopic traffic flow modeling method considering interrupted driving. Background technique [0002] In order to design new roads more rationally, and conduct simulation verification on existing road operation management and intersection signal light control schemes, it is often necessary to establish a traffic flow model in order to maximize the transportation capacity of the same traffic facilities. [0003] Transportation is a major issue related to the national economy and people's livelihood. The degree of modernization of the transportation system and the advanced degree of traffic management are important symbols to measure the degree of modernization of a country. In recent years, with the development of the economy, the number of various means of transportation has increased greatly. The facilities, roads, and traffic management systems in ma...

AI Technical Summary

Problems solved by technology

[0008] In order to overcome the technical problem that the existing car-following model is inconsistent with the actual traffic conditions and cannot control the signal lights at the intersection, the present invention provides a microscopic traffic flow modeling method for car-following in sections considering interruption of driving. Considering the impact of the number of vehicles in front is based on the random changes in the three actual traffic conditions of normal queuing, traffic lights terminating vehicles, and the following distance is too large to cause other vehicles to intervene. At the same time, the optimal speed of multiple vehicles in front is introduced. Changes in vehicle distance The parameters such as the number of vehicles in front, the lag time of the vehicles in front and the weighting factors can be adjusted according to the actual traffic conditions, so that the established new microscopic traffic flow model is closer to In practice, it solves the technical problems of traffic flow modeling in the design of new roads, the operation management of existing roads and the control of traffic lights at intersections

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