Road Transport CO2 Emissions Reduction Degree Assessment when Implementing ITS

Abstract

Road transport CO2 emissions remain one of the first places in atmospheric pollution terms despite all attempts to reduce this impact. Due to the sharp slowdown in the transition of transport from fossil fuels to alternative sources, this is once again becoming a priority issue for governments, civil society organizations and the scientific community around the world. The largest share of these emissions is in large cities with high motorization level and small hybrid, electric vehicles and high environmental classes vehicles share, which is typical for the Eastern Europe, Russia, India and Latin America countries, incl. in cities with small level industrial enterprises. The best world practice is the use of automated traffic control systems integrated into integrated intelligent transport systems (ITS). The authors analyze the ITS introducing problems in a large Russian city with a population of 320 thousand people and a motorization level of about 320 cars per 1000 inhabitants. Collected and analyzed data on average traffic speeds and traffic intensity on the main streets of the city, estimated the level of CO2 emissions in these conditions. Further, information was collected on the planned ITS launch in the city and the potential effect of its implementation in the moderate and optimistic scenarios was assessed. For each scenario, the possible effect in reducing the share of CO2 emissions from cars is calculated. The results of experimental studies and data of mathematical modeling are presented. The results obtained can be used to evaluate the effectiveness of ITS implementation projects in similar cities.