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    Real-Time Traffic Flow Uncertainty Quantification Based on Nonparametric Probability Density Function Estimation 

    Source: Journal of Transportation Engineering, Part A: Systems:;2024:;Volume ( 150 ):;issue: 011:;page 04024074-1
    Author(s): Meiye Li; Jianhua Guo; Xiaobin Zhong
    Publisher: American Society of Civil Engineers
    Abstract: Traffic flow uncertainty quantification is important for making reliable decisions in transportation operations. Compared with well-studied level prediction or point prediction models, the study of uncertainty quantification ...
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    Traffic Condition Uncertainty Quantification under Nonnormal Distributions 

    Source: Journal of Transportation Engineering, Part A: Systems:;2022:;Volume ( 148 ):;issue: 010:;page 04022086
    Author(s): Meiye Li; Lue Fang; Wenwen Jia; Jianhua Guo
    Publisher: ASCE
    Abstract: Uncertainty quantification is important for making reliable decisions in transportation planning and operations. In the field of short-term traffic condition forecasting, uncertainty quantification methods include primarily ...
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