Urban transportation problem is the bottleneck problem [1] of limiting urban economic development [2]. With the rapid development of the scale of the city, it is a hot issue in the urban traffic optimization problem [3] how to use reasonably, scientifically and efficiently the existing urban public traffic network system for passengers traveling to provide strong guarantee. With the rapid development of artificial intelligence algorithms [4], the application of artificial intelligence algorithms in public transport planning is one of the research directions in the field of public transport network optimization [5].


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    Urban Public Traffic Network Optimization Based on Simulation Technology

    Yang, Juenuo / Wang, Li / Zhu, Xiaoning | Springer Verlag | 2021


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