Results 231 to 240 of about 10,094,639 (283)

Short-Term Highway Traffic Flow Forecasting Based on XGBoost

2020 15th International Conference on Computer Science & Education (ICCSE), 2020
With the rapid development of urban intelligent transportation system, the prediction short-term of traffic flow attracts more and more attention. As the lack of the characteristics of traffic flow and appropriate models, the accurate predction of the traffic flow are facing a big challenge.
Jiawei Cao, Gang Cen, Yuefeng Cen, Weifeng Ma   +3 more
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Short-Term Traffic Flow Forecasting Based on MARS

2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008
A promising traffic flow forecasting model based on multivariate adaptive regression splines (MARS) is developed in this paper. First, the historical traffic flow data is obtained from the loop detectors installed on the road network of Beijing. Then, part of the data is selected for training the MARS model while the rest is used to test the method ...
Shengqi Ye, Yingjia He, Jianming Hu, Zuo Zhang   +3 more
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Research on Short-Term Flow Forecast of Intelligent Traffic

2021
With the rapid development of China’s economy and the deepening of urbanization, the burden of urban traffic is becoming more and heavier. Scientific traffic planning and guidance has become an important research content of urban traffic management departments.
Tingting Yang, Shuwen Jia
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Combined short-term traffic flow forecast model for Beijing Traffic Forecast System

2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC), 2011
A short-term traffic flow forecasting model is studied for Beijing Traffic Forecast System. From a practical view, a combined forecast model is considered, including Discrete Fourier Transform model, Autoregressive model and Neighborhood Regression model. In order to update weight real-timely, the Bayesian approach is utilized to adjust weights of each
Shen Dong, Liguang Sun, Tanghsien Chang, Huapu Lu   +3 more
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A Hybrid Efficient Short-term Traffic Flow Forecast Technology

2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009
This paper presents a hybrid short-term traffic flow forecast technology. For the uncertainty, the short-term traffic flow forecast is complicated, and the accuracy is not high. This strategy combines the RBF neural network and ant colony clustering algorithm to forecast the traffic flow.
Xin Lin, Xiaoye Wang, Yingyuan Xiao, Degan Zhang   +3 more
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Nonparametric regression for the short-term traffic flow forecasting

2010 International Conference on Mechanic Automation and Control Engineering, 2010
This paper uses the K-NN based nonparametric regression to forecast the short term traffic flow, applies the prediction interval calculated by K to forecast during unconventional road condition, and improves the forecasting results. Finally, nonparametric regression's advantages of high accuracy and strong transplant ability are showed while being ...
null Tao Zhang, null Lifang Hu, null Zhixin Liu, null Yuejie Zhang   +3 more
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A Summary of Short-Term Traffic Flow Forecasting Methods

ICCTP 2011, 2011
Short-term traffic flow forecasting has been an interesting research area in ITS. During the past three decades, various prediction models have been developed and shown mixed degrees of success. This paper reviews the methods on short-term traffic flow forecasting and points out that the novel methods and proper combination of methods should be the ...
Gang Chang, Yi Zhang, Danya Yao, Yun Yue
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A noise-immune LSTM network for short-term traffic flow forecasting

Chaos: An Interdisciplinary Journal of Nonlinear Science, 2020
Accurate and timely short-term traffic flow forecasting plays a key role in intelligent transportation systems, especially for prospective traffic control. For the past decade, a series of methods have been developed for short-term traffic flow forecasting.
Lingru Cai, Mingqin Lei, Shuangyi Zhang, Yidan Yu, Teng Zhou, Jing Qin   +5 more
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Analysis and Short-Term Forecasting of Highway Traffic Flow in Slovenia

2011
Analysis and short-term forecasting of traffic flow data for several locations of the Slovenia highway network are presented. Daily and weekly seasonal components of the data are analysed and several features are extracted to support the forecasting. Various short-term forecasting models are developed for one hour ahead forecasting of the traffic flow.
Primoz Potocnik, Edvard Govekar
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Short-term traffic flow forecasting based on clustering and feature selection

2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence), 2008
Traffic flow forecasting is an important issue for the application of intelligent transportation systems (ITS). How to improve the traffic flow forecasting precision is a crucial problem. Traffic models in different time sections have great differences.
Zhanquan Sun, Yinglong Wang 0001, Jingshan Pan   +2 more
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