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- W2336697786 abstract "In recent years Ant Colony algorithm (ACA) has been successfully applied to traffic assignment modeling. A new model incorporating a multi-objective method with Ant Colony algorithm is presented. A multi-objective method considers the function of roads with different levels in an urban road network. Instead of the single impendence that has been used in solo-objective model, multi-objective models can include multiple impendence such as time and saturation. According to the road level, different objectives are utilized in traffic assignment to reach the equilibrium of regional network, while keeping traffic moving smoothly. Improved partial and global update of Ant Colony algorithm increases the optimization speed and avoids partial convergence. Assignment scheme is variable by changing weight coefficients of the objective function. The model is validated in regional urban road networks by a computing example. The results of different transportation demands show that the improved model can be applicable to complex traffic conditions and reach the target of transportation management. The feature of the model makes it suitable to ITS, especially to transportation management systems." @default.
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- W2336697786 date "2008-01-01" @default.
- W2336697786 modified "2023-09-25" @default.
- W2336697786 title "Research on Traffic Assignment Model Based on Multi-Objective and Ant Colony Algorithm" @default.
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