Optimization Of The Bus Headway Under The Influence Of Carbon Emissions

With the rapid growth of motorization urbanization, motorized travel needs of residentshave increased significantly. However, the amount of increase in vehicle population leads tourban traffic congestion and rising air pollution is. As a core work schedule, how to develop areasonable bus headway operation has become a prominent research topic. Therefore, thispaper conducts a more detailed study and discussion from three aspects of the economic,social and environmental benefits.This paper studies the main factors affecting vehicle operation characteristics and busdeparture interval. It use of K-means clustering method to divide Patronage. It comparativelyanalyzes the calculation methods and characteristics of passenger traffic data collection todetermine the one-way running time, total traffic, traffic and load factor of the section.Meanwhile, it briefs on the characteristics and influencing factors of carbon emissions andstudies the close relationship between carbon emissions and the grid spacing between buses tointroducing the calculation method of carbon emissions, laying the foundation for later modeland case analysis.Secondly, it uses the basic principles of multi-objective optimization to construct a gridspacing optimization model based on minimum carbon emissions, car congestion degreeminimum and maximum corporate earnings as the objective function and with the upper limitof the lowest load factor and endure constraints of passenger load factor. Secondly, it sets thesolving steps of algorithms by using genetic algorithms to optimize the model established.Finally, by surveying and analyzing the actual lines data, using parameter data to set theenterprise model, and using MATLAB software programming, finding the optimal gridspacing and comparing with the actual situation of the line, the ultimate results show that themodel optimal solution is in line with the actual situation.