Abstract
In today’s world, the population is increasing rapidly that make people move in and out of the countries/states for various reasons. With the evolution of technology, there is an advancement in transportation, and traveling across places has become easier than before. Now, we have various means of transport to move around the world. Though the most preferred way to travel is the roadways, there are roads built that connect cities and states together. But we also have a few disadvantages like increase in the vehicle registrations, amount of pollution, and the number of road accidents. This paper addresses an issue related to the traffic congestion caused due to the vehicles and analyzes the traffic at a particular area based on the threshold using the Louvain community detection algorithm. The Louvain algorithm is a graph algorithm used to detect the communities within a particular region and then form clusters. The algorithm is implemented on a US road network in Neo4j to detect the traffic and provide an alternative route for conveyance.
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References
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Rashmi, R., Champawat, S., Varun Teja, G., Lavanya, K. (2020). Analysis of Road Networks Using the Louvian Community Detection Algorithm. In: Das, K., Bansal, J., Deep, K., Nagar, A., Pathipooranam, P., Naidu, R. (eds) Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 1057. Springer, Singapore. https://doi.org/10.1007/978-981-15-0184-5_64
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DOI: https://doi.org/10.1007/978-981-15-0184-5_64
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Online ISBN: 978-981-15-0184-5
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