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A Systematic Review on Urban Road Traffic Congestion

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Abstract

The city's infrastructure is considered the backbone of any country's development process and there are numerous factors that contribute to its growth. Among these factors, proper management traffic management is crucial. The increasing traffic density poses challenges to the current infrastructure, especially in develo** countries, leading to issues such as congestion and security. Technological advancements have introduced intelligent transportation systems that offer innovative mobility solutions and promote sustainability. To provide better solutions, a systematic review was conducted following the PRISMA rules. Three electronic databases, namely IEEE Xplore, Science Direct, and Wiley, were searched using specific keywords. Research articles were identified, accessed, and included in the review based on the PRISMA rules. This systematic review explores various approaches used for predicting, detecting, and analyzing congestion levels on urban roads. These approaches are categorized based on their datasets, results, and comparison with other available algorithms. Additionally, the discussions expand on the advantages and limitations of different categorical approaches.

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Acknowledgements

The authors would like to thanks Data Acquisition, Processing and Predictive Analytics (DAPPA) Lab, National Centre in Big Data and Cloud Computing, Ziauddin University, Karachi, Pakistan.

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Conceptualization: UJ and MA; Methodology: UJ and MA; Formal Analysis and Investigation: UJ and MA; Data curation: SS and MYIZ; Writing-original draft preparation: UJ; Project Administration: MR and SS; Supervision: MA and MR; Writing-review and editing: MYIZ and PO; Visualization: MYIZ and MR; Validation: PO and SS.

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Correspondence to Umair Jilani.

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Jilani, U., Asif, M., Zia, M.Y.I. et al. A Systematic Review on Urban Road Traffic Congestion. Wireless Pers Commun (2023). https://doi.org/10.1007/s11277-023-10700-0

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