Abstract
Due to the increasing number of inhabitants in metropolitan cities, people in well-developed urban areas routinely deal with traffic congestion problems when traveling from one place to another, which results in unpredictable delays and greater risk of accidents. Excessive fuel utilization is also an issue and poor air quality conditions are created at common traffic points due to vehicle exhaust. As a strategic solution for such issues, groups of urban communities are now adopting traffic control frameworks that employ automation as a solution to these issues. The essential test lies in continuous investigation of data collected online and accurately applying it to some activity stream. In this specific situation, this article proposes an enhanced traffic control and management framework that performs traffic congestion control in an automated way using a mobile agent paradigm. Under a vehicular ad hoc network (VANET) situation, the versatile proposed executive system performs systematic control with improved efficiency.
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Rath, M., Pati, B., Pattanayak, B.K. (2019). Mobile Agent-Based Improved Traffic Control System in VANET. In: Krishna, A., Srikantaiah, K., Naveena, C. (eds) Integrated Intelligent Computing, Communication and Security. Studies in Computational Intelligence, vol 771. Springer, Singapore. https://doi.org/10.1007/978-981-10-8797-4_28
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DOI: https://doi.org/10.1007/978-981-10-8797-4_28
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