FUZZY FUSION ALGORITHM FOR TRAFFIC FLOW PREDICTION BESIDES NOISY DATA

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HOSSEINI SEYYED HADI; NAJJAR ARAABI BABAK; MOSHIRI BEHZAD; RAHIMI KIAN ASHKAN

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Journal: TABRIZ JOURNAL OF ELECTRICAL ENGINEERING Year:2016 | Volume:46 | Issue:1 (75) Page(s): 121-132

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Information Journal Paper

Title

FUZZY FUSION ALGORITHM FOR TRAFFIC FLOW PREDICTION BESIDES NOISY DATA

Author(s)

HOSSEINI SEYYED HADI | NAJJAR ARAABI BABAK | MOSHIRI BEHZAD | RAHIMI KIAN ASHKAN | Issue Writer Certificate

Keywords

FUZZY FUSIONQ2

TRAFFIC FLOW PREDICTIONQ2

INTELLIGENT TRANSPORTATION SYSTEMQ2

NOISY DATAQ2

Abstract

Traffic flow prediction is one of the methods of congestion avoidance in highways. According to the previous researches, no comprehensive model has been developed for TRAFFIC FLOW PREDICTION which can reduce the congestion in all of traffic conditions. Using the hybrid of any predictor models to reduce prediction error is an interesting idea to solve this problem. In this paper, a new hybrid algorithm based on fuzzy logic for TRAFFIC FLOW PREDICTION will be offer and compare with various types of old hybrid algorithms and predictor models. The fuzzy logic controller working as soft switching and as expected this new hybrid algorithm have high precision in comparison with others. Simulations will be implemented based on real data in MATLAB environment as a performance demonstration of new hybrid algorithm. Due to different traffic flow behavioral patterns, performance investigations of new hybrid algorithm will be done in presence of polluted traffic data in different climatic conditions such as rain/snow fall or other traffic conditions like congestions and accidents on the road, indicating robustness of this algorithms to different types of disturbance data.

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APA: Copy

HOSSEINI, SEYYED HADI, NAJJAR ARAABI, BABAK, MOSHIRI, BEHZAD, & RAHIMI KIAN, ASHKAN. (2016). FUZZY FUSION ALGORITHM FOR TRAFFIC FLOW PREDICTION BESIDES NOISY DATA. TABRIZ JOURNAL OF ELECTRICAL ENGINEERING, 46(1 (75)), 121-132. SID. https://sid.ir/paper/256596/en

Vancouver: Copy

HOSSEINI SEYYED HADI, NAJJAR ARAABI BABAK, MOSHIRI BEHZAD, RAHIMI KIAN ASHKAN. FUZZY FUSION ALGORITHM FOR TRAFFIC FLOW PREDICTION BESIDES NOISY DATA. TABRIZ JOURNAL OF ELECTRICAL ENGINEERING[Internet]. 2016;46(1 (75)):121-132. Available from: https://sid.ir/paper/256596/en

IEEE: Copy

SEYYED HADI HOSSEINI, BABAK NAJJAR ARAABI, BEHZAD MOSHIRI, and ASHKAN RAHIMI KIAN, “FUZZY FUSION ALGORITHM FOR TRAFFIC FLOW PREDICTION BESIDES NOISY DATA,” TABRIZ JOURNAL OF ELECTRICAL ENGINEERING, vol. 46, no. 1 (75), pp. 121–132, 2016, [Online]. Available: https://sid.ir/paper/256596/en

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