Method for evaluating uncertain traffic pollution gas emission control plans

Abstract

The invention provides a method for evaluating uncertain traffic pollution gas emission control plans. On the basis of analyzing various factors influencing selection of traffic pollution gas emission control plans, with reference to the monitoring data of road traffic pollution gas emission and the experience of experts, and through analyzing the sensitivity of different risk attitudes of decision makers to sorting of the alternative traffic pollution gas emission control plans a plurality of satisfactory plans are selected from alternative traffic pollution gas emission control plans such as speed limiting, one-way traffic, traffic channeling and signal timing and sorted, thus obtaining a best plan. The method is mainly applied to intelligent decision making analysis used for evaluating the advantage and disadvantage of a plurality of uncertain traffic pollution gas emission control plans, so as to provide decision making support for the management to select the best traffic pollution gas emission control emergency plan.

Description

Technical field: [0001] The invention relates to the technical field of traffic environment, in particular to an evaluation method for an uncertain traffic pollution gas emission control scheme. Background technique: [0002] Carbon monoxide (CO), carbon oxides (HC), nitrogen oxides (NOx) and particulate matter (PM) emitted from motor vehicle exhaust are the main constituent elements of urban air pollution. With the rapid development of urban economic construction and the rapid expansion of population, the traffic volume of urban roads has also increased rapidly, and the air pollution caused by the intensification of traffic motorization has become one of the main factors affecting the quality of urban environment. [0003] Therefore, how to control traffic pollution gas emissions is a hot issue. Current research at home and abroad shows that motor vehicle exhaust emissions are closely related to traffic flow behavior, and frequent acceleration and deceleration of vehicles ...

AI Technical Summary

Problems solved by technology

However, there are relatively few studies on the evaluation of traffic pollution gas emission control schemes at home and abroad, especially the randomness and ambiguity of the traffic pollution gas emission environment lead to uncertainty in the process of traffic construction, traffic flow, and carbon emissions. The one-sidedness of experience also makes it impossible to use an accurate numerical value to describe the various factors that affect traffic pollution gas emissions, so the evaluation of uncertain traffic pollution gas emission control schemes is more in line with actual needs

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