Weigang G. Integrated assessment and prediction of roadside environment pollution by the traffic flow

The thesis is devoted to development of methods and software implementation of integrated assessment and prediction of roadside environment pollution by the traffic flow, with taking into account the influence of the elements of the system "traffic flow - road - roadside environment" on the value ingredient and parametric pollution with the use of GIS monitoring system technology. Based on the research results and with the use of developed information-analytical monitoring system, patterns were defined for the impact of the characteristics of the traffic flow, road and weather conditions, on the level of environmental safety based on the integrated assessment of individual group and integrated pollution criteria. It was determined that given the speed of the traffic flow in the range of 40...60 km/h determines the minimum value of the integral criteria of pollution. Limiting movement of trucks can reduce the ingredient pollution by 23,2%, parametric pollution by 9,8% and increase the level of environmental safety criteria by 22,1%. Prediction of increasing intensity of the traffic flow in the future, taking into account changes in the traffic flow structure by higher share of vehicles with higher environmental classes, showed that with increasing intensity of traffic flow in the next 5...6 years in 2...2,5 times, the level of environmental safety may remain at base flow or substantially decrease by increasing the proportion of vehicles with higher environmental classes. Using geographic information systems Google Maps in the information-analytical system provides a dynamic and efficient representation of the results of the evaluation and prediction of the roadside environment pollution, which allows creation of pollution maps on the basis of which one can develop environmental safety management and controls measures of the roadside environment.