The Reseach Of Urban Taxi-pooling Based On Bilevel GA

Under the environment of China’s economic development continues to achieve new stairs, China’s urbanization process has entered a new phase. However, behind the city have taken on an altogether new aspect, population of city reach a new record, Rhythm of Residents’ life accelerating sharply. With Increasing the amount of residents daily travel. The injection pressure and challenge has been input in the high load operation of city traffic. However, facing the city traffic congestion problem, if only put all the hopes on the highway construction and expansion, it can not radical cure all the “City disease”, instead, they can stimulate more travel demand. Making the city transportation network to facing more severe situations. At present, China’s city public transportation is in a new vigorous period of development. Advocating to take public transportation to travel is becoming normal. It is particularly important to link up the public transport and private cars in chosing travel mode. As a flexible and convenient traffic mode, taxi can play a role of public transportation supplementary, as well, it also can provide specific transportation service for the small part of the crowd. A high efficiency of taxi operation can become a "lubricant" for the healthy operation of city transportation. Get the opposite of what one wants, At present, most of the high-altitude run rate of taxi and low launch efficiency are greatly wasted city road resources, make the city traffic has became more crowded.To solve these problems, Based on the existing research foundation, I am analyzed the characteristic of taxi and summarized the characteristics of residents travel route. Constructing a bistratal genetic algorithm based on the model of city taxi-pooling model, In order to obtain the optimal solution of the model. Using PHP language to design and implement of enumeration method to obtain the optimal solution. verifying the reliability and efficiency of double layer genetic algorithm can provides the powerful support for constructing the taxi-pooling model.Baidu map provided an API interface and ArcObjects core components in the library also provided a lot of GIS function object, It can easy to realize the acquisition of residents travel information. In order to reduce the costs of taxi operation and increase the residents income. Construction the model of taxi-pooling and solving with bilevel GA.