The Impact of Traffic Speed by Adverse Weather

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Presentation transcript:

The Impact of Traffic Speed by Adverse Weather A Fuzzy Model by Shan-Huen Huang

Data Collection JAVA Program Real Time Speed Traffic Flow Weather Visibility Pavement Condition Link Capacity

Fuzzy Model Input Output Visibility Pavement Condition Traffic Flow/Capacity Output Speed Impact

Fuzzy Sets Pavement Condition Visibility Speed Impact Dense(DF) <40m Thick(TF) 40~200m Fog(FO) 200~1000m Mist(MI) 1000~2000m Poor(PV) 2000~4000m Moderate(MV) 4k~10km Flow/Capacity 1.Free Flow (FF) 2.Normal (NO) 3.Light Heavy (LH) 4.Heavy (HE) Pavement Condition 1.Icy (IC) 2.Very Slippery (VS) 3.Slippery (SL) 4.Not Slippery (NS) Speed Impact 1.Tremendously (TI) 2.Seriously (SE) 3.Impact (IM) 4.Somehow (SO) 5.Slight (SI) 6.No (NI)

Fuzzy Logic, Inference & Defuzzification Based on the historic data and experience to define the logic rules Use Mamdani’s Formula Use Center of Area (COA) Method for defuzzification

Future Research Design an ANN model to Decide the Membership Function which is fuzzy-neural