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Highway toll management and traffic prediction using data mining
P. Kumar, K. Pranathi,
Published in Springer
2020
Volume: 1054
   
Pages: 455 - 464
Abstract
Generally, we will confront many issues for intersection tollgates. Parcel of vehicles will be in a line to pay the toll for intersection the parkways. This is squandering a great deal of time and furthermore expanding in activity prompts burden amid well-being and different crises. And furthermore, there will be various approaches to achieve a goal yet picking a sit route with low movement one is another issue. To defeat this, an online toll administration framework and movement forecast investigation are created. This will have the capacity to pay the toll utilizing on the web installment gateway, clients can pay with approved certifications, and in view of passage of the vehicles into toll, movement status of specific thruway can be acquired. © Springer Nature Singapore Pte Ltd 2020.
About the journal
JournalData powered by TypesetAdvances in Intelligent Systems and Computing
PublisherData powered by TypesetSpringer
ISSN21945357