Abstract
Intelligent transportation control is an important part of the entire transportation system, and low-carbon transportation is the ultimate goal of urban transportation development. Realizing the balance of supply and demand of intelligent transportation control in metropolis is one of the strategic means to build a low-carbon intelligent transportation in metropolis. The paper collects a time series related traffic data during the ten years of the metropolis, combined with the knowledge of systems engineering and economics, and constructs the supply and demand system model to the traffic volume of metropolitan intelligent control transportation; different vehicle costs and the marginal benefit of private transportation are both analysed accordingly. Modelling and systematic analysis of marginal cost, marginal revenue and marginal cost of public transportation are adopted to conduct optimal traffic volume of urban roads, with a view to constructing a low-carbon intelligent traffic model for metropolis from the perspective of supply and demand. Macro-control strategies for urban low-carbon intelligent traffic control are provided accordingly.
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