摘要针对交通小区生成交通的短时预测需求提出了综合小波分析和神经网络的短时预测方法
预测方法主要利用小波函数对交通小区生成交通进行小波分解利用神经网络对分解后的多频段 …

Efficient and accurate prediction of traffic state plays a major role in the implementation of
effective intelligent transportation systems. Therefore, traffic forecasting has been attracting a …

Taxi network plays an important role in urban passenger transportation. However, its
operation is greatly affected by weather, especially by snowfalls in cold region. In this study …

Smart cities are nowadays equipped with pervasive networks of sensors that monitor traffic
in real-time and record huge volumes of traffic data. These datasets constitute a rich source …

This research Traffic congestion is a growing problem in urban areas, leading to significant
economic and environmental costs. Accurate prediction of traffic flow and congestion levels …

Traffic management is an integral part of intelligent transport system (ITS). At present, the
focus of the research community is on the innovation in technology-driven traffic …

城市路网中存在大量尚未布设交通检测器的路段, 其交通流数据难以获取, 不利于开展精准路网
管理, 为此提出了利用局部路网空间结构特征预测无检测器路段交通流量的方法 …

This article investigates the impact of alternative data smoothing and traffic prediction
methods on the accuracy of the performance of a two-stage short-term urban travel time …

Traffic flow on highways exhibits a dynamic phenomenon in different operational settings.
The concept of sustainability in transportation engineering is elucidated using multi-criteria …

Accurate traffic flow prediction is required in traffic management and optimal route selection.
Traffic data patterns are influenced by factors such as road characteristics, time of the day …