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The Impact of Traffic Speed by Adverse Weather

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 Visibility Pavement Condition Traffic Flow/Capacity Output

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The Impact of Traffic Speed by Adverse Weather

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

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

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

  4. Visibility 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 Sets

  5. 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

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

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