Conference Papers

Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506

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Subject: search.filters.subject.Uncontrolled intersections

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    Machine Learning-Based Gap Acceptance Model for Uncontrolled Intersections Under Mixed Traffic Conditions
    (Springer Science and Business Media Deutschland GmbH, 2023) Arathi, A.R.; Harikrishna, M.; Mohan, M.
    Uncontrolled intersections are the most common type of intersections in a transportation network. The study modeled minor road driver’s decision of accepting or rejecting a gap at four-legged uncontrolled intersections having similar geometric characteristics using Artificial Neural Network (ANN) model, Logistic Regression (LR) model, and Support Vector Machine (SVM) model. The results reveal that the performance of LR and SVM models are somewhat similar, while the performance of ANN model exceeds the performance of both LR and SVM models with a correct prediction of about 96.2%. Also, the higher values of the goodness of fit measures like F1 score and R2 value together with a lower value of MSE show that ANN model is better in distinguishing between the classes. The variable gap duration has a major influence on model prediction comparing to other variables. The effect of the critical gap, occupancy time, conflicting volume, and vehicle type are also found remarkable. © 2023, Transportation Research Group of India.
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    Influence of Geometric and Traffic Characteristics on Priority Violations at Uncontrolled Intersections
    (Springer Science and Business Media Deutschland GmbH, 2025) Arathi, A.R.; Harikrishna, H.; Mohan, M.
    Most of the intersections in developing nations are uncontrolled. The traffic movements at such intersections are very complex because of aggressive driving behaviour, lane indiscipline, and lack of priority rules. Priority violations are frequent at uncontrolled intersections due to the lack of traffic control, making the gap acceptance model less effective. The increase in priority violations may increase the capacity, delay and vehicular conflicts, thereby affecting the safety at intersections. Therefore, it is necessary to study the rate of occurrence of priority violations and the influence of road geometrics and traffic conditions on priority violations at uncontrolled intersections. This paper describes the influence of traffic and geometric characteristics on the overall priority violations, including priority reversals and limited priority. Moreover, this study provides separate models for predicting the occurrence rate of priority reversals and limited priority, which will be helpful for design engineers. In addition, this study also shows that an increase in priority violations increases capacity. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.