Pollution Reduction and Carbon Reduction in Mixed Traffic Flow Environments under the Influence of LCI for Energy Consumption Analysis

The accelerated progression of urbanisation has emerged as a pivotal factor in the escalating issue of global warming, with automobile exhaust emissions assuming a central role in this context. This phenomenon underscores the growing prominence of energy consumption and environmental pollution as critical concerns. To promote the healthy development of green and sustainable transportation systems, this study analyses the impact of lane change intention (LCI) on reducing pollution and carbon in mixed traffic flow. The study proposes a traffic energy consumption model to analyse the impact of LCI on vehicle energy consumption in a mixed traffic flow environment. The model combines the collaborative adaptive cruise control (CACC) strategy to explore energy consumption in a multidimensional mixed traffic environment. The results showed that vehicles with LCI in mixed traffic flow had an average energy consumption increase of 7.65% compared to vehicles driving normally. When the vehicle adopted CACC, it could effectively alleviate the increase in energy consumption caused by LCI. Vehicles with the LCI and applying CACC only increased their energy consumption by an average of 4.84%, a decrease of 2.81% compared to those without cruise control. In summary, the research on pollution reduction and carbon reduction in mixed traffic flow environments under the influence of LCI for energy consumption analysis provides support and reference for the sustainable development of green transportation.