Traffic restriction method cooperate with multilayer network

Abstract

The invention discloses a traffic restriction method cooperate with a multilayer network. The method comprises steps of: firstly, obtaining road information, public transportation information, and rail transit information, to construct an urban road-bus-rail multilayer network; then, obtaining traffic demand information of a plurality of traffic modes; constructing a double-target planning model,by taking the traffic restriction proportion of each edge in the urban road-bus-rail multilayer network as a decision variable, and taking the reduction of the capacity traffic of the active traffic cell and the saving of the travel costs of travelers as targets; and finally, setting a solution of different decision variables, and distributing the obtained traffic demands in the multilayer networkunder different solutions, by using a traffic flow distribution algorithm, and calculating a corresponding objective function value to obtain an optimal solution of the decision variable, so that thecooperative traffic restriction scheme of the multi-traffic mode can be obtained. According to the traffic restriction method cooperate with the multilayer network, the method not only avoid the large-scale crowd gathering in urban large-scale activities through the traffic restriction, but also can minimize the influence of the traffic restriction.

Description

technical field [0001] The invention belongs to the technical field of transportation, and in particular relates to a multi-layer network cooperative traffic restriction method. Background technique [0002] Large-scale crowd gatherings in large-scale events in cities often cause serious traffic jams, even traffic paralysis, and in some cases may also cause crowd stampede accidents. In order to prevent accidents caused by crowd gathering, various methods have emerged one after another, such as route guidance, vehicle restriction control, and crowd risk gathering early warning system. [0003] But existing technology has the following problems: [0004] A large part of the route guidance method depends on the driver's subjective driving willingness, which cannot effectively control the traffic in the target area. A single restriction on private cars or public transportation has limitations on the sudden increase of the total population of the region. As a coercive means, p...

AI Technical Summary

Problems solved by technology

Simple flow-limiting control on the travel traffic network will increase the travel time of travelers and increase the travel burden

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