Traffic flow evacuation time estimation method

Abstract

The invention discloses a traffic flow evacuation time estimation method, which mainly solves problems that discreteness of an evacuation vehicle scale and randomness of road section non-evacuation flow are not fully considered when the evacuation time is estimated in the prior art. The method of the technical scheme comprises steps: firstly, a current road condition is judged through congestion detection algorithm, when the road is judged to be in a congestion state, an evacuation strategy selection model is built according to the current road traffic flow, and the objective function of the model uses the shortest evacuation time as a principle and uses basic requirements that the traffic flow in each branch in a road network needs to be balanced as constraint conditions; and then, ant colony algorithm is used for solving the model, and the shortest evacuation time and the longest evacuation time for the current congestion state are obtained. The method of the invention can accurately estimate the needed time for evacuating vehicles when traffic congestion happens, effective information is provided for vehicles yet to come, a theoretical basis is provided for correct traffic commanding by a traffic management department, harms caused by emergent events are reduced to the minimal as much as possible, and the method can be used for traffic management for the urban road network.

Description

technical field [0001] The invention belongs to the technical field of traffic, in particular to a method for estimating traffic flow evacuation time, which can be used in urban road networks. Background technique [0002] With the increasing scale of urban road network, increasing demand for traffic and material circulation, frequent occurrence of natural disasters and other objective reasons, the number, frequency of occurrence, breadth of influence and degree of harm of road traffic emergencies are all showing a clear upward trend. In urban traffic, once an accident occurs, it will often cause vehicles on the road to line up and cause traffic congestion, which increases the difficulty of implementing social management and maintaining stability in the transportation industry, and hinders the maximization of the social and economic benefits of road traffic. Therefore, when there is a traffic jam on the road, correctly estimating the time required for vehicle evacuation can ...

AI Technical Summary

Problems solved by technology

However, this method does not fully consider the discreteness of the size of evacuated vehicles and the randomness of subsequent vehicles, and the estimation results inevitably have large deviations.

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