Optimization of Urban Transportation Network Path

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Optimization of Urban Transportation Network Path

Zhang, Dandan / Zhu, Haiyun

With the rapid growth of China’s economy, the urbanization process has been accelerating, urban road congestion has become increasingly serious, and traffic problems such as urban traffic environment pollution have become a hot spot of concern for the whole people. At present, the ways to solve road traffic problems are mainly divided into the class of strengthening road construction, increasing the road capacity to develop intelligent transportation systems, and improving road operation efficiency. However, under the condition of limited urban land resources, it is undoubtedly the most effective way to optimize road traffic organization and management through intelligent transportation system. This paper focuses on the dynamic path selection model and algorithm under multi-source traffic information, focusing on the traveler path selection behavior under multi-source traffic information, the dynamic path selection model and algorithm before travel, and the bus route selection under the influence of transfer behavior. Models and algorithms, as well as dynamic adaptive path selection models and algorithms in travel. The composition of the traffic network is discussed. The construction and expression of the traffic network model are expounded. The morphological characteristics and weight characteristics of the traffic network model are analyzed. The geometric characteristics of the traffic network and the accessibility index are used to analyze the morphological characteristics of the traffic network model. Evaluation and analysis.