A Novel Approach for Real Time Traffic Prediction Using Deep Learning in VANET-Reference-Cited by-同舟云学术

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A Novel Approach for Real Time Traffic Prediction Using Deep Learning in VANET

Published:2023-07-06 Issue: Volume: Page:
ISSN:
Container-title:2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)
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Author:

C Kaushik¹,T Karthikeya¹,Krishna A Vineeth Venkata¹,K Abhilash¹

Affiliation:

1. VNRVJIET,Department of ECE,Hyderabad,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10306338/10306339/10306778.pdf?arnumber=10306778

Reference11 articles.

1. Network Traffic Prediction Model Considering Road Traffic Parameters Using Artificial Intelligence Methods in VANET

2. Improved Deep Hybrid Networks for Urban Traffic Flow Prediction Using Trajectory Data

3. A hybrid deep learning based traffic flow prediction method and its understanding

4. Short-Term Traffic Flow Prediction Method for Urban Road Sections Based on Space–Time Analysis and GRU

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