Software Tool for Optimizing Cycling Route by Defining Cyclist Air Pollution Exposure

Poor air quality in urban cities has led to the replacement of motorized vehicles with active means of transportation such as cycling. Unfortunately, while developing and constructing bike infrastructure, officials fail to address air quality problems associated with bikers, and most dedicated cycling lanes are built alongside high-traffic highways. Because of their greater ventilation rate, bikers face significant health hazards. To safeguard a city’s citizens’ sustainable quality of life, it’s vital to understand how to identify and measure PM exposure, especially in potentially dangerous places. This work presents a software tool based on experimental data for optimizing and evaluating bicycle routes by assessing the overall quantity of particulate matter intake in terms of rider physiological reaction. The tool uses a modified path-finding method, including traffic and environmental data from fixed and mobile sensors. The final result is an optimized path for cyclists with minimum PM inhalation value.