Urban Mobility Optimization with IoT and Deep Q Networks for Traffic Density Management-Reference-Cited by-同舟云学术

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Urban Mobility Optimization with IoT and Deep Q Networks for Traffic Density Management

Published:2024-03-01 Issue: Volume:2 Page:1-6
ISSN:
Container-title:2024 3rd International Conference for Innovation in Technology (INOCON)
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Author:

Ranganathan Chitra Sabapathy¹,Jayanthi L. N.²,Babu J. Jagan³,Manikandan M.⁴,Sivakamy N.⁵

Affiliation:

1. Mphasis Corporation,Chennai,Tamil Nadu,India

2. Saveetha Institute of Medical and Technical Sciences (SIMATS),Saveetha College of Liberal Arts and Sciences,Department of Commerce,Chennai,Tamil Nadu,India

3. R.M.D Engineering College,Department of Electronics and Communication Engineering,Chennai,Tamil Nadu,India

4. SRM Institute of Science and Technology,Faculty of Management,Chennai,Tamil Nadu,India

5. Panimalar Engineering College,Department of Computer Science and Engineering,Chennai,Tamil Nadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10511271/10511093/10511802.pdf?arnumber=10511802

Reference16 articles.

1. Traffic condition monitoring using weighted kernel density for intelligent transportation

2. Real-Time Video Management System for Robotic Waste Sorting and Recycling Using IoT and Machine Learning

3. Power Quality Monitoring of a Photovoltaic System Through IoT

4. IoT based Smart Traffic density Control using Image Processing

5. Dynamic Traffic Light Controlling System Using Google Maps and IoT

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