Rule-based Recommendation System for Traffic Congestion Measures
Traffic congestion has become a serious concern in both developed and developing countries. Increasing demand for urban transport has led to plenty of issues including longer travel times, higher fuel consumption and greater vehicular crash rates and therefore to a deterioration in the quality of life. On grounds of the wide range of problems that traffic congestion can cause, the study of traffic congestion measures and their implementation is a crucial step that should be considered in analyzing traffic. However, these measures might vary per country. They are context-sensitive. Therefore, the purpose of this study is to develop a recommendation system able to generate the congestion measures in accordance with the context under study. The goal of this research is to assist researchers and traffic operators to choose the most suitable congestion measures to the studied area.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9789819932832
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Supplemental Notes:
- © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.
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Corporate Authors:
Springer Nature Singapore
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Authors:
- Amor, Yasmine
- Rejeb, Lilia
- Sahli, Nabil
- Trojet, Wassim
- Hoblos, Ghaleb
- Ben Said, Lamjed
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Conference:
- 6th KES-STS International Symposium (KES-STS 2023)
- Location: Rome , Italy
- Date: 2023-6-14 to 2023-6-16
- Publication Date: 2023
Language
- English
Media Info
- Media Type: Web
- Edition: 1
- Features: References;
- Pagination: pp 229-239
- Monograph Title: Smart Transportation Systems 2023: Proceedings of 6th KES-STS International Symposium
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Serial:
- Smart Innovation, Systems and Technologies
- Volume: 356
- Publisher: Springer Singapore
- ISSN: 2190-3018
- Serial URL: https://www.springer.com/series/8767
Subject/Index Terms
- TRT Terms: Developing countries; Highway operations; Recommendations; Traffic congestion
- Subject Areas: Highways; Operations and Traffic Management;
Filing Info
- Accession Number: 01941616
- Record Type: Publication
- ISBN: 9789819932832
- Files: TRIS
- Created Date: Dec 31 2024 9:04AM