A Machine Learning-Based Data Fusion Model for Online Traffic Violations Analysis-Reference-Cited by-同舟云学术

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A Machine Learning-Based Data Fusion Model for Online Traffic Violations Analysis

Published:2021-08-29 Issue: Volume: Page:847-857
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Mostafa Salama A.,Mustapha Aida,Ramli Azizul Azhar,Fudzee Mohd Farhan M. D.,Lim David,Kashinath Shafiza Ariffin

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-3071-2_67

Reference29 articles.

1. R. Factor, An empirical analysis of the characteristics of drivers who are ticketed for traffic offences. Transp. Res. F: Traffic Psychol. Behav. 53, 1–13 (2018)

2. J.R. Ingram, The effect of neighborhood characteristics on traffic citation practices of the police. Police Q. 10(4), 371–393 (2007)

3. S. Thapa, J. Lee, Data Mining Techniques on Traffic Violations (University of Bridgeport, CT, 2016)

4. N.A.S. Zaidi, A. Mustapha, S.A. Mostafa, M.N. Razali, A classification approach for crime prediction, in International Conference on Applied Computing to Support Industry: Innovation and Technology (Springer, Cham, 2019), pp. 68–78

5. A. Boukerche, J. Wang, A performance modeling and analysis of a novel vehicular traffic flow prediction system using a hybrid machine learning-based model. Ad Hoc Networks, 102224 (2020)

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