Abstract
The emergence of big data has led to technological advancements in various fields including transportation systems. Traffic congestion is a noteworthy issue in numerous urban communities of India alongside other nations. Improper traffic signals usage, poor law enforcement, and poor traffic administration cause movement blockage. Elevated amounts of activity increment stress bring down the quality of life and make a city less engaging. Traffic engineers are accused of influencing transportation frameworks to keep running as effectively as could be expected under the circumstances; however, the assignment appears to be unmanageable. The interconnected technologies around the digital devices offer potential to optimize the road traffic flow. So, there is a need to develop systems for smarter living experience. In order to optimize traffic flow, the first step is to identify the vehicles and then count the traffic at particular intervals so that in case of a jam, the commuters should know the traffic situation and be able to take an alternate route in advance. In this research work, a comparative study on different approaches initiated for road traffic optimization is undertaken along with their advantages and drawbacks which will be beneficial in developing and improving real-time traffic system in near future. It is concluded that the big data analytics architecture for the acquisition and monitoring of real-time traffic information provides the ability to integrate various technologies with existing communications infrastructures, which can help reduce casualties, minimize congestion, and increase safety across street networks capacity and adequacy.
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References
Intelligent Transportation Systems Next Wave of the Connected Car. https://www.intellimec.com/insights/intelligent-transportation-systemsnext-wave-connected-car/.
Urbanization of World http://www.civilservicesexpert.com/geography/urbanisation-of-world/.
Kaklij, S. P. (2015). Mining GPS data for traffic congestion detection and prediction. International Journal of Science and Research (IJSR), 4(9), ISSN:2319-7064. (Online).
Natarajan, V. A., Jothilakshmi, S., & Gudivada, V. N. (2015). Scalable traffic video analytics using Hadoop MapReduce. ALLDATA 2015: The First International Conference on Big Data, Small Data, Linked Data and Open Data.
Viola, P., & Jones, M. (2001). Rapid object detection using a boosted cascade of simple features. In Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Vol. 1, pp. I-511–I-518).
Bijjaragi, K., & Tijare, P. (2016) Big data approach for secure traffic data analytics using Hadoop. International Journal on Recent and Innovation Trends in Computing and Communication, 4(5). ISSN 2321-8169.
Dean, J., & Ghemawat, S. (2008). MapReduce: Simplified data processing on large clusters. Commun. ACM, 51(1), 107–113.
Kreps, J., Narkhede, N., & Rao, J., et al. (2011) Kafka: A distributed messaging system for log processing. In Proceedings of the NetDB (pp. 17).
Amini, S., Gerostathopoulos, I., & Prehofer, C. (2017). Big data analytics for real- time traffic control. In 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS). https://doi.org/10.1109/mtits.2017.8005605.
Sung, H. K., & Chong, K. S. (2017). Development of road traffic analysis platform using big data. In International Conference on Advances in Big Data Analytics (pp. 65–66). CSREA Press ©, ISBN: 1-60132-448-0.
Kim, R., & Kang, M. M. (2014). Today and the future of big data analytics technology. The Korean Institute of Information Scientists and Engineering, 1, 8–17.
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Deb, T., Vishwas, N., Saha, A. (2020). A Comparative Study on Different Approaches of Road Traffic Optimization Based on Big Data Analytics. In: Pant, M., Sharma, T., Basterrech, S., Banerjee, C. (eds) Performance Management of Integrated Systems and its Applications in Software Engineering. Asset Analytics. Springer, Singapore. https://doi.org/10.1007/978-981-13-8253-6_11
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DOI: https://doi.org/10.1007/978-981-13-8253-6_11
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