Titlebook: Intelligent Infrastructure in Transportation and Management; Proceedings of i-TRA Jiten Shah,Shriniwas S. Arkatkar,Pravin Jadhav Conference

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Data-Driven Approach for Modeling the Mixed Traffic Conditions Using Supervised Machine Learning would model the vehicles’ positions with accuracy in the range of 20–60 mean absolute percentage error. The k-NN algorithm was marginally edging past all algorithms and acted as a promising candidate for modeling vehicular positions.

debacle

Analysis of Driver Behaviour in Dilemma Zone at Signalized Intersection Under Heterogeneous Trafficperception reaction times, and vehicle deceleration rate, all of which are variables that can affect the dilemma zone. A binary logistic model has been developed. 15% of the derived data was used to verify the generated model, which indicates that the model‘s accuracy rate is 70.9 percent.

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correspondent

Road Crash Severity Ranking by Applying a Multi-criteria Decision-Making Tool: Analytical Hierarchy road crash scenario indicates the immediate need for improvement in the current road safety practices to evaluate the severity. The state-wise prioritization of road safety efforts can be done with the help of the presented severity ranking.

MAPLE

Digital Eye for Visually Impaired—DEVIing, and Machine learning. The Digital Eye for the visually impaired has a plausible design that makes it easy to use as it discovers nearby objects and obstacles, providing a scalable solution for exploration.

Outshine

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Intelligent Infrastructure in Transportation and ManagementProceedings of i-TRA

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2730-6453 re toward an update on the performance and costs of batteries which is the current demand of the consumers. The book inspires researchers, innovators, industryexperts, and policymakers to consider the solutions into the practice..978-981-16-6938-5978-981-16-6936-1Series ISSN 2730-6453 Series E-ISSN 2730-6461

Crepitus

Ayushi V. Shah,Pinakin N. Patel,L. B. Zala,A. A. Amin