Titlebook: Recent Advances in Traffic Engineering; Select Proceedings o Ashish Dhamaniya,Sai Chand,Indrajit Ghosh Conference proceedings 2024 The Edit

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Artificial Intelligence (AI)-Based Assessment of Behavior of Bus Drivers in Nagpur City (India): A rmed, and a linear regression model was developed to establish the Road Safety Index . based on their driving experience, eye condition, and generated alerts. This index can be used as a significant indicator for the evaluation of drivers, potentially leading to a reduction in road crashes involving

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DSRC-Based Bus Trajectory Analysis and Prediction Near Signalized Intersection,mance with the errors reducing as the bus approached the stop line. The findings of this study can be used to predict the arrival time of the bus at the stop line, which can further be used for various applications including bus signal priority.

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Study on the Effect of Variation in the Geometric Parameters of the Work-Zone on Traffic Safety Usis of the work-zone on traffic safety using a simulation approach. The research paper studies the geometric parameter variation of work-zone on traffic safety at the microscopic level using various microscopic parameters such as box and whisker plots, descriptive statistics, trajectories, hysteresis

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,Comparative Safety Assessment of Vehicle–Pedestrian Interactions at Urban Arterial and Highway Usingher speed of the interacting vehicles. The present study revealed that although Time-to-Collision (TTC) is lower in urban settings, and higher on National Highways even than fatality rates are significantly higher on National Highways due to elevated vehicular speeds. This underscores the complex r

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Impact of Traffic Noise on the Teaching and Learning Process of School Environment,he measured noise levels (.) were nearly twice as high as the recommended limit set by World Health Organization (WHO) for classrooms occupied with students. The z-test indicates a significant difference in noise levels for PC and SC. The questionnaire survey investigates the perception and awarenes

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On-Street Night Car Parking Demand Estimation in Residential Areas: A Case Study at Delhi,nce of garage facilities, future car ownership, etc. The parking accumulation is found from field surveys such as in–out survey and license plate survey. The parking volume and peak hours for each location are obtained using a questionnaire survey. The parking demand model is generated using linear