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Abstract : With the growing crisis of energy and environment , energy conservation become the main goal of the industry , but due to the limitations of the current technological level , whether alternative clean fuel homogeneous charge compression ignition , layered compression ignition combustion mode in energy saving and emission reduction , there are many limitations . Since the early 1990s , California legislation to impose zero emissions policy , the world soon rise of the electric car boom . The successful application of the electric vehicles in the 2008 Olympic Games , China 's electric car technology has gradually matured . After the Olympics , all electric vehicles in Beijing officially put into public transport operators . Thereafter , the 2010 Shanghai World Expo and Guangzhou Asian Games electric buses are used as the main means of transport , in view of the electric vehicles are moving towards a large-scale operation , the electric bus scheduling problem is very urgent . Firstly , the pure electric bus real-time monitoring data , operational characteristics , such as pure electric vehicle driving range , charging and discharging time , the charging and discharging process analysis , which summed up the characteristics of pure electric bus operators . According to the characteristics of its operations , making the electric bus operators plan to fully consider its continued driving mileage constraints scheduling problem for the future after the scale of the electric bus operators provide ideas . Based on the analysis of the results of the pure electric bus scheduling model , fully consider its continued driving mileage and charging time constraints . Finally, Guangzhou pure electric bus route 801 , for example , scheduling arrangements and use genetic algorithm to solve the model in this line . The results verify the applicability of the model and algorithm .
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