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AI Enabled Road Safety for Smart Cities

Dept/Center/Lab: Amrita Center for Wireless Networks and Applications (AWNA)

Project Incharge:Sruthy Anand
Co-Project Incharge:Prof. Alberto Montroser (University of Trento)
AI Enabled Road Safety for Smart Cities

The vision of this project is enhancing road safety through innovative technologies to enhance road safety for all. This work focuses on three different areas such as driver assistance, pedestrian safety and smart parking.

Project Description

The project focuses on three areas catering to road safety in smart cities: drivers’ arcing systems, pedestrian warning systems, and smart parking. Pedestrians are often the most vulnerable on the road. This research investigates the use of smart devices to alert drivers and pedestrians to each other’s presence, especially in low-visibility conditions. Similarly, finding parking can be frustrating and time-consuming. This research aims to provide real-time availability information. This reduces congestion and frees up valuable space for pedestrians and greenery.

Publication Details

  1. Iyer, P., Nambiar, N., Venkat, G., Surendran, S., & Anand, S. (2020, July). Smart resource handling module for parking. In 2020 International Conference on System, Computation, Automation and Networking (ICSCAN) (pp. 1-6). IEEE.
  2. Mahit Venkat Gautam Kumpatla, Gandivalasa Keerthi Tej,  Gottimukkala Sahil, and Sruthy Anand. “ Enhanced Road Safety Through AI-Enabled Voice Assistance” Fifth International Conference on Computing and Network Communications (CoCoNet’23), Bengaluru, India, December 18-20, 2023. Springer.

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