Electron hole microscopic traffic flow modeling method in density saturation state

Abstract

The invention provides an electron hole microscopic traffic flow modeling method in a density saturation state. According to the method, random variation of front car influences in a traffic flow speed model under the multi-lane conditions is considered according to four actual traffic conditions including normal queuing, traffic signal lamps stopping running cars, inserting of other cars caused by too large car following distances and car inserting of a current lane caused by too large car following distances of adjacent lanes; the changing rate of optimization speeds of a plurality of front cars with respect to car distances, delay time of front car effects and weighting factors are introduced simultaneously; and car running lanes and influences of the car running lanes on the adjacent lanes are considered. According to the modeling method, the number of a plurality of front cars, the delay time of front car effects and the weighting factors and other parameters can be adjusted and considered according to actual traffic conditions, a built novel microscopic traffic flow model is close to reality, and the traffic flow modeling technology in new roads design existing road running management and intersection signal lamp control is achieved.

Description

technical field [0001] The invention relates to a traffic flow model modeling method, in particular to an electron-hole microcosmic traffic flow modeling method in a density saturation state. 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 many co...

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 be used in traffic flow statistics and signal lights at intersections, the present invention provides a method for modeling electron-hole microscopic traffic flow in a state of density saturation. In the multi-lane situation, the influence of the front vehicles in the traffic flow speed model is as follows: normal queuing, traffic lights stop driving vehicles, too large following distance causes other vehicles to intervene, and adjacent lane following distance causes the current lane vehicle to intervene in four practical situations Random changes in traffic conditions, while introducing the optimal speed of multiple vehicles ahead, the rate of change of the distance between vehicles, the lag time of the vehicle in front and the weighting factor, taking into account the vehicle driving lane and the impact on adjacent lanes, the modeling method According to the actual traffic conditions, parameters such as the number of vehicles in front, the lag time of the vehicle in front and the weighting factor can be adjusted and considered, so that the new micro-traffic flow model established is closer to reality, and it solves the problem of designing new roads and existing roads. Technical Problems of Traffic Flow Modeling in Operation Management and Intersection Signal Light Control

Images