A Novel Ramp Metering Approach Based on Machine Learning and Historical Data
The random nature of traffic conditions on freeways can cause excessive congestion and irregularities in the traffic flow. Ramp metering is a proven effective method to maintain freeway efficiency under various traffic conditions. Creating a reliable and practical ramp metering algorithm that consid...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-09-01
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| Series: | Machine Learning and Knowledge Extraction |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2504-4990/2/4/21 |
| _version_ | 1797552919169466368 |
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| author | Saeed Ghanbartehrani Anahita Sanandaji Zahra Mokhtari Kimia Tajik |
| author_facet | Saeed Ghanbartehrani Anahita Sanandaji Zahra Mokhtari Kimia Tajik |
| author_sort | Saeed Ghanbartehrani |
| collection | DOAJ |
| description | The random nature of traffic conditions on freeways can cause excessive congestion and irregularities in the traffic flow. Ramp metering is a proven effective method to maintain freeway efficiency under various traffic conditions. Creating a reliable and practical ramp metering algorithm that considers both critical traffic measures and historical data is still a challenging problem. In this study we use simple machine learning approaches to develop a novel real-time ramp metering algorithm. The proposed algorithm is computationally simple and has minimal data requirements, which makes it practical for real-world applications. We conduct a simulation study to evaluate and compare the proposed approach with an existing traffic-responsive ramp metering algorithm. |
| first_indexed | 2024-03-10T16:07:55Z |
| format | Article |
| id | doaj.art-a8a2044b533341b094eabd7779e0c710 |
| institution | Directory Open Access Journal |
| issn | 2504-4990 |
| language | English |
| last_indexed | 2024-03-10T16:07:55Z |
| publishDate | 2020-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Machine Learning and Knowledge Extraction |
| spelling | doaj.art-a8a2044b533341b094eabd7779e0c7102023-11-20T14:45:56ZengMDPI AGMachine Learning and Knowledge Extraction2504-49902020-09-012437939610.3390/make2040021A Novel Ramp Metering Approach Based on Machine Learning and Historical DataSaeed Ghanbartehrani0Anahita Sanandaji1Zahra Mokhtari2Kimia Tajik3Industrial and Systems Engineering Department, Ohio University, Athens, OH 45701, USAAnalytics and Information Systems Department, Ohio University, Athens, OH 45701, USABright Horizons, Watertown, MA 02472, USASchool of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR 97330, USAThe random nature of traffic conditions on freeways can cause excessive congestion and irregularities in the traffic flow. Ramp metering is a proven effective method to maintain freeway efficiency under various traffic conditions. Creating a reliable and practical ramp metering algorithm that considers both critical traffic measures and historical data is still a challenging problem. In this study we use simple machine learning approaches to develop a novel real-time ramp metering algorithm. The proposed algorithm is computationally simple and has minimal data requirements, which makes it practical for real-world applications. We conduct a simulation study to evaluate and compare the proposed approach with an existing traffic-responsive ramp metering algorithm.https://www.mdpi.com/2504-4990/2/4/21ramp meteringmachine learningtraffic flow controltraffic responsive ramp metering |
| spellingShingle | Saeed Ghanbartehrani Anahita Sanandaji Zahra Mokhtari Kimia Tajik A Novel Ramp Metering Approach Based on Machine Learning and Historical Data Machine Learning and Knowledge Extraction ramp metering machine learning traffic flow control traffic responsive ramp metering |
| title | A Novel Ramp Metering Approach Based on Machine Learning and Historical Data |
| title_full | A Novel Ramp Metering Approach Based on Machine Learning and Historical Data |
| title_fullStr | A Novel Ramp Metering Approach Based on Machine Learning and Historical Data |
| title_full_unstemmed | A Novel Ramp Metering Approach Based on Machine Learning and Historical Data |
| title_short | A Novel Ramp Metering Approach Based on Machine Learning and Historical Data |
| title_sort | novel ramp metering approach based on machine learning and historical data |
| topic | ramp metering machine learning traffic flow control traffic responsive ramp metering |
| url | https://www.mdpi.com/2504-4990/2/4/21 |
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